ThrombocytopeniaNCT03617965
Mortality Due to Septic Shock Associated With Thrombocytopenia
An observational study of Thrombocytopenia and Septic Shock, run by Universidad de Guanajuato at 1 site in Mexico.
Trial summary
A prospective longitudinal study similar to the one performed by Claushuis and colleagues (2016) will be performed in order to further understand the epidemiology and clinical relationship between platelet levels and mortality secondary to septic shock in a different population. Read more about this study
- Who is it for?
- Ages 18 to 80 years
- Conditions the study is for
- Thrombocytopenia, Septic Shock, Sepsis Bacterial
- What is being tested?
- Platelet count
- How many people
- 350 participants
- Where
- 1 siteMexico
- Study dates
- 15 Aug 2018to 31 Dec 2019
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 80 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients will be recruited from the intensive care unit at the General Hospital of León, Guanajuato, Mexico. The sampling technique will be a convenience sampling as this is a regional urban hospital that serves a total population of approximately 1.5 million people.
Who may be able to join
- Patients diagnosed with sepsis (white blood cells >14,000μL) and thrombocytopenia (<150,000/μL).
- Patients who receive care in the ICU of the General Hospital of León, Gto.
- Patients with a complete file with 90-day evolution notes.
Who cannot join
- Patients diagnosed with cardiogenic, hypovolemic, anaphylactic and neurogenic shock
- Patients older than 80 years or younger than 18 years of age
- Patients referred from another ICU
- Patients with a diagnosis of neoplasia (i.e. hematologic and/or solid tumor)
- Pregnant women
- Patients with liver cirrhosis
Show all 11Show fewer
- Patients with splenectomy
- Patients with thrombocytosis (i.e.> 400,000/μL) upon admission to ICU
- Patients with previous use of drugs that could produce thrombocytopenia ( e.g. calcium carbonate, acetylsalicylic acid, clopidogrel, dipyridamole, tamoxifen, cisplatin, bexarotene, doxorubicin, and lovastatin.
- Elimination Criteria:
- Patients who do not have a follow-up at 30, 60 and 90 days.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Mortality Due to Septic Shock Associated With Thrombocytopenia in the Intensive Care Unit
A prospective longitudinal study similar to the one performed by Claushuis and colleagues (2016) will be performed in order to further understand the epidemiology and clinical relationship between platelet levels and mortality secondary to septic shock in a different population. The primary objective is to compare the mortality due to septic shock between patients with thrombocytopenia and patients with normal platelet levels in the ICU of the General Hospital of León, Gto. The secondary objectives are to identify the association between mortality due to septic shock and mild, moderate and severe thrombocytopenia in patients admitted to the ICU at 30, 60 and 90 days.
Research questions
Read more
Is there an association between thrombocytopenia and mortality due to septic shock in patients admitted to the critical medicine service? Our hypotheses are that:
- Mortality from septic shock and thrombocytopenia at 30, 60 and 90 days will be higher in patients with thrombocytopenia than in patients normal platelet counts.
Is there an association between the degree of thrombocytopenia and mortality from septic shock in patients admitted to the critical medicine service? Our hypotheses are that:
- Mortality from septic shock and thrombocytopenia at 30, 60 and 90 days will be higher in patients with mild thrombocytopenia than in patients without thrombocytopenia.
- Mortality from septic shock and thrombocytopenia at 30, 60 and 90 days will be higher in patients with moderate thrombocytopenia than in patients without thrombocytopenia.
- Mortality from septic shock and thrombocytopenia at 30, 60 and 90 days will be higher in patients with severe thrombocytopenia than in patients without thrombocytopenia.
Read the detailed description
Background
Sepsis has a high morbidity and mortality, hence is a challenging medical problem throughout the world. Three therapeutic principles must be taken into account to improve organ dysfunction and survival in sepsis: 1) early and adequate antimicrobial therapy; 2) reestablishment of adequate tissue perfusion; and 3) timely identification and control of the septic foci. Moreover, survival in sepsis depends on the timely identification and appropriate treatment. Progressive advances in sepsis management over the past decades have led to reduced mortality indices. Mortality rates have decline progressively from 43% in 1993 to 37% in 2003, to 29% in 2007; furthermore, reaching a low in 2012 of 18.4%. All in all, in order to establish a global outlook and adequate therapeutic algorithms for sepsis, the factors associated with high mortality rates in septic shock must be identified.
Severe sepsis and septic shock are two clinical entities that have a great impact on intra-hospital morbidity and mortality, as well as on the cost of health care systems; accounting for a large proportion among the causes of admission to the intensive care unit (ICU). In the United States in 2013, septicemia was the hospital condition that accounted for the highest cost, reaching a total cost of $23.7 billion dollars (i.e. 6.2% of total hospitalization costs); followed by osteoarthritis (i.e. $16.5 billion dollars, 4.3% of total hospitalization costs), births (i.e. $13.3 billion, 3.5%), complications arising from medical devices, implants or grafts (i.e. $12.4 billion, 3.3%), and acute myocardial infarction (i.e. $12.1 billion, 3.2%).
The prevalence of sepsis at the ICU across multiple centers in Spain ranges between 6 and 30%. Furthermore, more than 50% of patients with sepsis develop severe sepsis and 25% septic shock. Carrillo-Esper and colleagues (2009) report that in Mexican public and private institutions, 27.3% of 40,957 hospitalizations (i.e. 11,183 cases) developed sepsis. This study which included data from ICUs of 24 out of 32 federal entities reports a mortality secondary to sepsis of 30.4%. In Mexico, the hospitalization costs of patients with sepsis is also a cause of concern, with a total estimated cost of $835 million dollars and an average patient cost of $73,000 dollars.
Sepsis definition
The systemic inflammatory response syndrome or SIRS response is the complex pathophysiological reaction to an insult (e.g. infection, trauma, burns). The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3), defines sepsis as a life-threatening organ dysfunction caused by a dysregulated host response to an infection. Severe sepsis is the sepsis complicated by organ dysfunction, which could progress to septic shock (i.e. sepsis-induced hypotension persisting despite adequate fluid resuscitation). The definitions for sepsis, septic shock, and organ dysfunction have essentially not changed in the past two decades. Despite its global importance, the recognition of sepsis is inadequate. Furthermore, the various manifestations of sepsis make diagnosis difficult, even for experienced physicians. Therefore, a comprehensive definition and clinical guidelines for sepsis management are needed; this would facilitate the clinical identification of sepsis by health professionals, thus improving the diagnostic accuracy and quantification of sepsis.
Thrombocytopenia
Platelets are the smallest blood cells, being only fragments of the megakaryocyte cytoplasm; however, they have a critical role in normal hemostasis and contribute to thrombotic disorders. The normal range of platelets in humans is 150,000-400,000 platelets per microliter of blood. The production of platelets is critically dependent on thrombopoietin, which acts on the differentiation and proliferation of megakaryocyte progenitors and in the maturation of megakaryocytes. Platelets have a short life of up to 10 days. Thrombocytopenia can be classified as: 1) mild, from 100 x 10^9 a 149 x 10^9/L; 2) moderate, from 50 x 10^9 to 99 x 10^9/L; and 3) severe, <50 x 10^9/L. It has been reported that 20% to 50% of patients in the ICU have thrombocytopenia. Aside from hemostatic functions and playing a central role in thrombosis, platelets participate in the immune response. Platelets react to an infectious agent by altering tissue integrity; contributing to the inflammatory cascade, as well as in the elimination process of pathogens and tissue repair. Platelets are activated in patients with SIRS and sepsis. Activation is followed by platelet isolation within the microcirculation and consequently giving rise to a thrombocytopenia. Platelets regulate inflammation and sepsis through multiple mechanisms. Among these mechanisms is innate immunity, where platelets express a receptor for lipopolysaccharide (LPS) Toll-like receptor-4, which contributes to thrombocytopenia through recruitment of neutrophils to the pulmonary system in a systemic response to LPS. Platelets also interact with other leukocytes, including monocytes. The interaction of activated platelets with monocytes induces the nuclear translocation of nuclear factor-kB (NF-kB) and expression of NF-kB dependent inflammatory genes. In addition to direct interactions with leukocytes, platelets contribute to inflammation and immune activation by releasing cytokines and cellular mediators stored in dense and alpha granules. The gold standard for the evaluation of thrombopoiesis is through bone marrow aspiration; however, since bone marrow aspiration is an invasive procedure, it is not frequently performed in clinical conditions such as sepsis.
The association between level of thrombocytopenia (i.e. mild, moderate, and severe) and mortality has been previously studied in sepsis. Claushuis and colleagues (2016), reported the mortality rates of 1,483 consecutive patients admitted to the intensive care unit with sepsis and degrees of thrombocytopenia (i.e. mild, moderate and severe, depending on platelet counts, very low <50 × 10^9/L, intermediate-low 50 × 10^9 to 99 × 10^9/L, low 100 × 10^9 to 149 × 10^9/L) against patients with normal platelet count (i.e. 150 × 10^9 to 399 × 10^9/L). The mortality reported at 30 days was 25.1%, 37.2%, and 54.1% for patients with mild, moderate and severe thrombocytopenia respectively. More studies are needed to confirm the relationship between the platelet levels and septic shock. We decided to conduct a prospective longitudinal study similar to the one performed by Claushuis and colleagues (2016) in our hospital in order to further understand the epidemiology and clinical relationship between platelet levels and mortality secondary to septic shock in a different population.
Complications: septic shock and multiple organ dysfunction
Sepsis can progress to septic shock, multiple organ failure and death if not recognized early. More than 50% of patients with sepsis develop severe sepsis and 25% septic shock; these figures represent 15% of all admissions to the ICU. Septic shock is defined as a septic process associated with circulatory, cellular and metabolic abnormalities; therefore, there is a higher risk of mortality compared to the unique presence of sepsis. Clinically, it includes patients who meet sepsis criteria and who, despite adequate fluid resuscitation, require vasopressors to maintain a mean arterial blood pressure (MAP) above 65mmHg and serum lactate concentration levels above 2 mmol/L. The factors that contribute to septic shock are 1) vasodilation; 2) endothelial dysfunction (i.e. increased permeability due to loss of vascular smooth muscle reactivity secondary to cellular and humoral mediators); 3) hypovolemia; and 4) bilateral ventricular dysfunction.
Multiple organ dysfunction (MOD) refers to progressive organic dysfunction in a severely ill patient; where homeostasis cannot be maintained without intervention. Because of its severity, the organic dysfunction is at one end of the spectrum of severity of the disease. Both infectious conditions (e.g. sepsis, septic shock), and non-infectious conditions (e.g. SIRS for pancreatitis) can present in MOD. MOD can manifest with affection to different systems such as: cardiovascular; pulmonary; hepatic; renal; gastrointestinal; and hematologic, among others. Multiple organ dysfunction can be defined as an increase of two or more points in the Sequential (Sepsis-Related) Organ Function Assessment score (SOFA). It is important to note that the SOFA score is a mark of organic dysfunction; consequently, it does not determine the individual treatment strategies, nor does it predict mortality according to demographic data (e.g. age) or the underlying conditions (e.g. stem cell transplant recipient, postoperative patient). However, the SOFA score helps identify those patients who potentially have a high risk of dying from an infection.
Singer and colleagues (2016) proposed the quickSOFA (qSOFA) scale in order to facilitate the identification of patients at risk of dying from sepsis. The qSOFA scale is a modified version of the SOFA scale, where a score greater than two points is associated with sepsis; consequently, having a poor prognosis. The qSOFA score can be easily calculated as it only has three components. Each component is assigned a point: 1) respiratory rate ≥22 ventilations per minute; 2) alteration of the mental state; and 3) systolic blood pressure ≤100mmHg). Hypoperfusion duration is directly associated with MOD, accounting for a mortality of 70%. According to SOFA score predictions, patients who meet these criteria for septic shock have a higher mortality than patients who do not meet the criteria (i.e. ≥40% versus ≥10%). Raith and colleagues (2017) report that in 182 ICUs in Australia and New Zeland, between 2000 and 2015, 184,875 patients were admitted with a primary admission diagnosis associated with an infectious process. The objective of the aforementioned study was to validate and evaluate the discriminatory capabilities of a two or more points increase in the SOFA score, a two or more increase in SIRS criteria, or a two or more points increase in the qSOFA score among critically ill patients with an infection. The retrospective study reported a greater capacity to predict the intra-hospital mortality of the SOFA scale over the SIRS criteria and qSOFA criteria.
Number of required patients and power calculation
The different sample sizes were calculated to detect statistically significant differences taking as parameters an α = 0.05 and with a statistical power of 0.8 (i.e. 1-β). The work carried out by Claushuis and colleagues (2016) was used to determine the minimum sample size needed to detect statistically significant changes using the categorical variables of mild, moderate and severe thrombocytopenia as previously defined in this protocol at 30, 60 and 90 days of stay in the ICU. The sample size calculator based on proportions of two samples considering the equality of the two extremes (i.e. tails of a Gaussian distribution), was used, available on the web page http://powerandsamplesize.com/. Table 8 summarizes the parameters used to perform these calculations. The parameters are the following: nA, number of patients with normal platelet concentration (i.e. higher than 150,000/μL and lower than 399,000/μL); nB, number of patients with thrombocytopenia; pA, mortality, in percentage, of patients with normal platelet concentration; pB, mortality, in percentage, of patients with thrombocytopenia; k (nA/nB), sampling proportion; N, sample size needed. Taking into account the results, we consider that a sample of more than 30 patients with severe thrombocytopenia is sufficient, while a sample of 105 patients with moderate thrombocytopenia is sufficient. A similar number of patients without thrombocytopenia is needed to make the comparative analysis of mortality.
- Conditions
- Thrombocytopenia, Septic Shock, Sepsis Bacterial
- Being tested
- Platelet count
- Medical subject headings
- Thrombocytopenia, Shock, Septic
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Platelet countDiagnostic test
Also called Procalcitonin levels
All patients who are admitted to the intensive care unit of this hospital and meet the inclusion criteria will be followed for 90 days. There will be a complete review of the file that includes the entire hospitalization, in order to collect demographic information, clinical, laboratory reports, and imaging reports among others. Patients who are transferred to other units due to clinical improvement will be followed peripherally by the internal medicine department and the patients who are released due to clinical improvement will be contacted via telephone or in their next outpatient consultation with an internist.
| Study group | Role | What they receive |
|---|---|---|
| Mild thrombocytopenia | Patients with a platelet count of 100 × 10e9 to 149 × 10e9/L. Receives: Diagnostic Test: Platelet count | |
| Moderate thrombocytopenia | Patients with a platelet count of 50 × 10e9 to 99 × 10e9/L Receives: Diagnostic Test: Platelet count | |
| Severe thrombocytopenia | Patients with a platelet count<50 × 10e9/L Receives: Diagnostic Test: Platelet count | |
| Control group | Patients with normal platelet count (i.e.150 × 10e9 to 399 × 10e9/L) Receives: Diagnostic Test: Platelet count |
What is being measured
The primary outcome is the main question the study is designed to answer.
Survival and mortality rate
Multivariate-adjusted Cox proportional hazards regression models will be used to study the relationship between the diagnostic groups upon admission to the ICU and the mortality rate. Cox regression models adjusted to control the influence of sociodemographic variables will be used. Kaplan-Meier graphs will be used to show differences in the risk of progression to sepsis, septic shock, and death at 30 days.
Measured: 30 days after ICU admission
Secondary outcomes (4)
Survival and mortality rate
Multivariate-adjusted Cox proportional hazards regression models will be used to study the relationship between the diagnostic groups upon admission to the ICU and the mortality rate. Cox regression models adjusted to control the influence of sociodemographic variables will be used. Kaplan-Meier graphs will be used to show differences in the risk of progression to sepsis, septic shock, and death at 60 days.
Measured: 60 days after ICU admission
Survival and mortality rate
Multivariate-adjusted Cox proportional hazards regression models will be used to study the relationship between the diagnostic groups upon admission to the ICU and the mortality rate. Cox regression models adjusted to control the influence of sociodemographic variables will be used. Kaplan-Meier graphs will be used to show differences in the risk of progression to sepsis, septic shock, and death at 90 days.
Measured: 90 days after ICU admission
Association between platelet levels and diagnosis
Will be evaluated using a principal component analysis.
Measured: 30 days after ICU admission
Platelet serum levels will be compared with the different clinical outcomes
The potentially associated variables will be added through the analysis of covariance (ANCOVA) or linear regression adjusted for age, sex, and diagnosis depending on the most appropriate model to assess the prognostic factors to develop sepsis.
Measured: 30 days after ICU admission
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted7 Aug 2018
- Study start15 Aug 2018
- Primary completion15 Nov 2019 (estimated)
- Study completion31 Dec 2019 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (67)Papers the sponsor has linked to this study.
- Other trials for ThrombocytopeniaStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 350 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Universidad de Guanajuato
- Sponsor type
- University, hospital or other
- Collaborators
- University Medical Center Groningen
- Responsible party
- Principal investigator, Jaime Daniel Mondragón Uribe, Universidad de Guanajuato
- Investigators
- Jaime D Mondragón, MD, MS, Principal investigator, University Medical Center Groningen
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03617965
- Sponsor's protocol ID
- UCISEP0718
- Status last verified
- Sep 2019
- First submitted
- 23 Jul 2018
- Last updated
- 25 Sep 2019
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Abiding by the Declaration of Helsinki, patient anonymity will be guaranteed.
Publications
Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med. 2001 Jul;29(7):1303-10. doi: 10.1097/00003246-200107000-00002.
PubMed 11445675Armstrong BA, Betzold RD, May AK. Sepsis and Septic Shock Strategies. Surg Clin North Am. 2017 Dec;97(6):1339-1379. doi: 10.1016/j.suc.2017.07.003. Epub 2017 Oct 5.
PubMed 29132513Asaduzzaman M, Lavasani S, Rahman M, Zhang S, Braun OO, Jeppsson B, Thorlacius H. Platelets support pulmonary recruitment of neutrophils in abdominal sepsis. Crit Care Med. 2009 Apr;37(4):1389-96. doi: 10.1097/CCM.0b013e31819ceb71.
PubMed 19242347Balk RA. Systemic inflammatory response syndrome (SIRS): where did it come from and is it still relevant today? Virulence. 2014 Jan 1;5(1):20-6. doi: 10.4161/viru.27135. Epub 2013 Nov 13.
PubMed 24280933Bassetti M, Righi E, Ansaldi F, Merelli M, Trucchi C, De Pascale G, Diaz-Martin A, Luzzati R, Rosin C, Lagunes L, Trecarichi EM, Sanguinetti M, Posteraro B, Garnacho-Montero J, Sartor A, Rello J, Rocca GD, Antonelli M, Tumbarello M. A multicenter study of septic shock due to candidemia: outcomes and predictors of mortality. Intensive Care Med. 2014 Jun;40(6):839-45. doi: 10.1007/s00134-014-3310-z. Epub 2014 May 8.
PubMed 24807083Blair P, Flaumenhaft R. Platelet alpha-granules: basic biology and clinical correlates. Blood Rev. 2009 Jul;23(4):177-89. doi: 10.1016/j.blre.2009.04.001. Epub 2009 May 17.
PubMed 19450911Boehme AK, Ranawat P, Luna J, Kamel H, Elkind MS. Risk of Acute Stroke After Hospitalization for Sepsis: A Case-Crossover Study. Stroke. 2017 Mar;48(3):574-580. doi: 10.1161/STROKEAHA.116.016162. Epub 2017 Feb 14.
PubMed 28196938Brun-Buisson C. The epidemiology of the systemic inflammatory response. Intensive Care Med. 2000;26 Suppl 1(Suppl 1):S64-74. doi: 10.1007/s001340051121.
PubMed 10786961Carrillo-Esper R, Carrillo-Cordova JR, Carrillo-Cordova LD. Epidemiological study of sepsis in Mexican intensive care units. Cir Cir. 2009 Jul-Aug;77(4):301-8; 279-85. English, Spanish.
PubMed 19919792Casserly B, Phillips GS, Schorr C, Dellinger RP, Townsend SR, Osborn TM, Reinhart K, Selvakumar N, Levy MM. Lactate measurements in sepsis-induced tissue hypoperfusion: results from the Surviving Sepsis Campaign database. Crit Care Med. 2015 Mar;43(3):567-73. doi: 10.1097/CCM.0000000000000742.
PubMed 25479113Churpek MM, Snyder A, Han X, Sokol S, Pettit N, Howell MD, Edelson DP. Quick Sepsis-related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores for Detecting Clinical Deterioration in Infected Patients outside the Intensive Care Unit. Am J Respir Crit Care Med. 2017 Apr 1;195(7):906-911. doi: 10.1164/rccm.201604-0854OC.
PubMed 27649072Clark SR, Ma AC, Tavener SA, McDonald B, Goodarzi Z, Kelly MM, Patel KD, Chakrabarti S, McAvoy E, Sinclair GD, Keys EM, Allen-Vercoe E, Devinney R, Doig CJ, Green FH, Kubes P. Platelet TLR4 activates neutrophil extracellular traps to ensnare bacteria in septic blood. Nat Med. 2007 Apr;13(4):463-9. doi: 10.1038/nm1565. Epub 2007 Mar 25.
PubMed 17384648Claushuis TA, van Vught LA, Scicluna BP, Wiewel MA, Klein Klouwenberg PM, Hoogendijk AJ, Ong DS, Cremer OL, Horn J, Franitza M, Toliat MR, Nurnberg P, Zwinderman AH, Bonten MJ, Schultz MJ, van der Poll T; Molecular Diagnosis and Risk Stratification of Sepsis Consortium. Thrombocytopenia is associated with a dysregulated host response in critically ill sepsis patients. Blood. 2016 Jun 16;127(24):3062-72. doi: 10.1182/blood-2015-11-680744. Epub 2016 Mar 8.
PubMed 26956172Clec'h C, Fosse JP, Karoubi P, Vincent F, Chouahi I, Hamza L, Cupa M, Cohen Y. Differential diagnostic value of procalcitonin in surgical and medical patients with septic shock. Crit Care Med. 2006 Jan;34(1):102-7. doi: 10.1097/01.ccm.0000195012.54682.f3.
PubMed 16374163Cloutier N, Pare A, Farndale RW, Schumacher HR, Nigrovic PA, Lacroix S, Boilard E. Platelets can enhance vascular permeability. Blood. 2012 Aug 9;120(6):1334-43. doi: 10.1182/blood-2012-02-413047. Epub 2012 Apr 27.
PubMed 22544703
Study at a glance
From the registry record, last updated by the sponsor on 25 Sep 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Mortality Due to Septic Shock Associated With Thrombocytopenia in the Intensive Care Unit
- ClinicalTrials.gov ID
- NCT03617965
- Acronym / sponsor ID
- UCISEP0718
- Conditions
- Thrombocytopenia, Septic Shock, Sepsis Bacterial
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 350 participants (estimated)
- Lead sponsor
- Universidad de GuanajuatoUniversity, hospital or other
- Collaborators
- University Medical Center Groningen
- Study start
- 15 Aug 2018 (actual)
- Primary completion
- 15 Nov 2019 (estimated)
- Study completion
- 31 Dec 2019 (estimated)
- First posted
- 7 Aug 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
A prospective longitudinal study similar to the one performed by Claushuis and colleagues (2016) will be performed in order to further understand the epidemiology and clinical relationship between platelet levels and mortality secondary to septic shock in a different population. The primary objective is to compare the mortality due to septic shock between patients with thrombocytopenia and patients with normal platelet levels in the ICU of the General Hospital of León, Gto. The secondary objectives are to identify the association between mortality due to septic shock and mild, moderate and severe thrombocytopenia in patients admitted to the ICU at 30, 60 and 90 days.
Research questions
Is there an association between thrombocytopenia and mortality due to septic shock in patients admitted to the critical medicine service? Our hypotheses are that:
- Mortality from septic shock and thrombocytopenia at 30, 60 and 90 days will be higher in patients with thrombocytopenia than in patients normal platelet counts.
Is there an association between the degree of thrombocytopenia and mortality from septic shock in patients admitted to the critical medicine service? Our hypotheses are that:
- Mortality from septic shock and thrombocytopenia at 30, 60 and 90 days will be higher in patients with mild thrombocytopenia than in patients without thrombocytopenia.
- Mortality from septic shock and thrombocytopenia at 30, 60 and 90 days will be higher in patients with moderate thrombocytopenia than in patients without thrombocytopenia.
- Mortality from septic shock and thrombocytopenia at 30, 60 and 90 days will be higher in patients with severe thrombocytopenia than in patients without thrombocytopenia.
Detailed description
Background
Sepsis has a high morbidity and mortality, hence is a challenging medical problem throughout the world. Three therapeutic principles must be taken into account to improve organ dysfunction and survival in sepsis: 1) early and adequate antimicrobial therapy; 2) reestablishment of adequate tissue perfusion; and 3) timely identification and control of the septic foci. Moreover, survival in sepsis depends on the timely identification and appropriate treatment. Progressive advances in sepsis management over the past decades have led to reduced mortality indices. Mortality rates have decline progressively from 43% in 1993 to 37% in 2003, to 29% in 2007; furthermore, reaching a low in 2012 of 18.4%. All in all, in order to establish a global outlook and adequate therapeutic algorithms for sepsis, the factors associated with high mortality rates in septic shock must be identified.
Severe sepsis and septic shock are two clinical entities that have a great impact on intra-hospital morbidity and mortality, as well as on the cost of health care systems; accounting for a large proportion among the causes of admission to the intensive care unit (ICU). In the United States in 2013, septicemia was the hospital condition that accounted for the highest cost, reaching a total cost of $23.7 billion dollars (i.e. 6.2% of total hospitalization costs); followed by osteoarthritis (i.e. $16.5 billion dollars, 4.3% of total hospitalization costs), births (i.e. $13.3 billion, 3.5%), complications arising from medical devices, implants or grafts (i.e. $12.4 billion, 3.3%), and acute myocardial infarction (i.e. $12.1 billion, 3.2%).
The prevalence of sepsis at the ICU across multiple centers in Spain ranges between 6 and 30%. Furthermore, more than 50% of patients with sepsis develop severe sepsis and 25% septic shock. Carrillo-Esper and colleagues (2009) report that in Mexican public and private institutions, 27.3% of 40,957 hospitalizations (i.e. 11,183 cases) developed sepsis. This study which included data from ICUs of 24 out of 32 federal entities reports a mortality secondary to sepsis of 30.4%. In Mexico, the hospitalization costs of patients with sepsis is also a cause of concern, with a total estimated cost of $835 million dollars and an average patient cost of $73,000 dollars.
Sepsis definition
The systemic inflammatory response syndrome or SIRS response is the complex pathophysiological reaction to an insult (e.g. infection, trauma, burns). The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3), defines sepsis as a life-threatening organ dysfunction caused by a dysregulated host response to an infection. Severe sepsis is the sepsis complicated by organ dysfunction, which could progress to septic shock (i.e. sepsis-induced hypotension persisting despite adequate fluid resuscitation). The definitions for sepsis, septic shock, and organ dysfunction have essentially not changed in the past two decades. Despite its global importance, the recognition of sepsis is inadequate. Furthermore, the various manifestations of sepsis make diagnosis difficult, even for experienced physicians. Therefore, a comprehensive definition and clinical guidelines for sepsis management are needed; this would facilitate the clinical identification of sepsis by health professionals, thus improving the diagnostic accuracy and quantification of sepsis.
Thrombocytopenia
Platelets are the smallest blood cells, being only fragments of the megakaryocyte cytoplasm; however, they have a critical role in normal hemostasis and contribute to thrombotic disorders. The normal range of platelets in humans is 150,000-400,000 platelets per microliter of blood. The production of platelets is critically dependent on thrombopoietin, which acts on the differentiation and proliferation of megakaryocyte progenitors and in the maturation of megakaryocytes. Platelets have a short life of up to 10 days. Thrombocytopenia can be classified as: 1) mild, from 100 x 10^9 a 149 x 10^9/L; 2) moderate, from 50 x 10^9 to 99 x 10^9/L; and 3) severe, <50 x 10^9/L. It has been reported that 20% to 50% of patients in the ICU have thrombocytopenia. Aside from hemostatic functions and playing a central role in thrombosis, platelets participate in the immune response. Platelets react to an infectious agent by altering tissue integrity; contributing to the inflammatory cascade, as well as in the elimination process of pathogens and tissue repair. Platelets are activated in patients with SIRS and sepsis. Activation is followed by platelet isolation within the microcirculation and consequently giving rise to a thrombocytopenia. Platelets regulate inflammation and sepsis through multiple mechanisms. Among these mechanisms is innate immunity, where platelets express a receptor for lipopolysaccharide (LPS) Toll-like receptor-4, which contributes to thrombocytopenia through recruitment of neutrophils to the pulmonary system in a systemic response to LPS. Platelets also interact with other leukocytes, including monocytes. The interaction of activated platelets with monocytes induces the nuclear translocation of nuclear factor-kB (NF-kB) and expression of NF-kB dependent inflammatory genes. In addition to direct interactions with leukocytes, platelets contribute to inflammation and immune activation by releasing cytokines and cellular mediators stored in dense and alpha granules. The gold standard for the evaluation of thrombopoiesis is through bone marrow aspiration; however, since bone marrow aspiration is an invasive procedure, it is not frequently performed in clinical conditions such as sepsis.
The association between level of thrombocytopenia (i.e. mild, moderate, and severe) and mortality has been previously studied in sepsis. Claushuis and colleagues (2016), reported the mortality rates of 1,483 consecutive patients admitted to the intensive care unit with sepsis and degrees of thrombocytopenia (i.e. mild, moderate and severe, depending on platelet counts, very low <50 × 10^9/L, intermediate-low 50 × 10^9 to 99 × 10^9/L, low 100 × 10^9 to 149 × 10^9/L) against patients with normal platelet count (i.e. 150 × 10^9 to 399 × 10^9/L). The mortality reported at 30 days was 25.1%, 37.2%, and 54.1% for patients with mild, moderate and severe thrombocytopenia respectively. More studies are needed to confirm the relationship between the platelet levels and septic shock. We decided to conduct a prospective longitudinal study similar to the one performed by Claushuis and colleagues (2016) in our hospital in order to further understand the epidemiology and clinical relationship between platelet levels and mortality secondary to septic shock in a different population.
Complications: septic shock and multiple organ dysfunction
Sepsis can progress to septic shock, multiple organ failure and death if not recognized early. More than 50% of patients with sepsis develop severe sepsis and 25% septic shock; these figures represent 15% of all admissions to the ICU. Septic shock is defined as a septic process associated with circulatory, cellular and metabolic abnormalities; therefore, there is a higher risk of mortality compared to the unique presence of sepsis. Clinically, it includes patients who meet sepsis criteria and who, despite adequate fluid resuscitation, require vasopressors to maintain a mean arterial blood pressure (MAP) above 65mmHg and serum lactate concentration levels above 2 mmol/L. The factors that contribute to septic shock are 1) vasodilation; 2) endothelial dysfunction (i.e. increased permeability due to loss of vascular smooth muscle reactivity secondary to cellular and humoral mediators); 3) hypovolemia; and 4) bilateral ventricular dysfunction.
Multiple organ dysfunction (MOD) refers to progressive organic dysfunction in a severely ill patient; where homeostasis cannot be maintained without intervention. Because of its severity, the organic dysfunction is at one end of the spectrum of severity of the disease. Both infectious conditions (e.g. sepsis, septic shock), and non-infectious conditions (e.g. SIRS for pancreatitis) can present in MOD. MOD can manifest with affection to different systems such as: cardiovascular; pulmonary; hepatic; renal; gastrointestinal; and hematologic, among others. Multiple organ dysfunction can be defined as an increase of two or more points in the Sequential (Sepsis-Related) Organ Function Assessment score (SOFA). It is important to note that the SOFA score is a mark of organic dysfunction; consequently, it does not determine the individual treatment strategies, nor does it predict mortality according to demographic data (e.g. age) or the underlying conditions (e.g. stem cell transplant recipient, postoperative patient). However, the SOFA score helps identify those patients who potentially have a high risk of dying from an infection.
Singer and colleagues (2016) proposed the quickSOFA (qSOFA) scale in order to facilitate the identification of patients at risk of dying from sepsis. The qSOFA scale is a modified version of the SOFA scale, where a score greater than two points is associated with sepsis; consequently, having a poor prognosis. The qSOFA score can be easily calculated as it only has three components. Each component is assigned a point: 1) respiratory rate ≥22 ventilations per minute; 2) alteration of the mental state; and 3) systolic blood pressure ≤100mmHg). Hypoperfusion duration is directly associated with MOD, accounting for a mortality of 70%. According to SOFA score predictions, patients who meet these criteria for septic shock have a higher mortality than patients who do not meet the criteria (i.e. ≥40% versus ≥10%). Raith and colleagues (2017) report that in 182 ICUs in Australia and New Zeland, between 2000 and 2015, 184,875 patients were admitted with a primary admission diagnosis associated with an infectious process. The objective of the aforementioned study was to validate and evaluate the discriminatory capabilities of a two or more points increase in the SOFA score, a two or more increase in SIRS criteria, or a two or more points increase in the qSOFA score among critically ill patients with an infection. The retrospective study reported a greater capacity to predict the intra-hospital mortality of the SOFA scale over the SIRS criteria and qSOFA criteria.
Number of required patients and power calculation
The different sample sizes were calculated to detect statistically significant differences taking as parameters an α = 0.05 and with a statistical power of 0.8 (i.e. 1-β). The work carried out by Claushuis and colleagues (2016) was used to determine the minimum sample size needed to detect statistically significant changes using the categorical variables of mild, moderate and severe thrombocytopenia as previously defined in this protocol at 30, 60 and 90 days of stay in the ICU. The sample size calculator based on proportions of two samples considering the equality of the two extremes (i.e. tails of a Gaussian distribution), was used, available on the web page http://powerandsamplesize.com/. Table 8 summarizes the parameters used to perform these calculations. The parameters are the following: nA, number of patients with normal platelet concentration (i.e. higher than 150,000/μL and lower than 399,000/μL); nB, number of patients with thrombocytopenia; pA, mortality, in percentage, of patients with normal platelet concentration; pB, mortality, in percentage, of patients with thrombocytopenia; k (nA/nB), sampling proportion; N, sample size needed. Taking into account the results, we consider that a sample of more than 30 patients with severe thrombocytopenia is sufficient, while a sample of 105 patients with moderate thrombocytopenia is sufficient. A similar number of patients without thrombocytopenia is needed to make the comparative analysis of mortality.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 4
| Arm | Type | Receives |
|---|---|---|
| Mild thrombocytopenia | – | Diagnostic Test: Platelet countPatients with a platelet count of 100 × 10e9 to 149 × 10e9/L. |
| Moderate thrombocytopenia | – | Diagnostic Test: Platelet countPatients with a platelet count of 50 × 10e9 to 99 × 10e9/L |
| Severe thrombocytopenia | – | Diagnostic Test: Platelet countPatients with a platelet count<50 × 10e9/L |
| Control group | – | Diagnostic Test: Platelet countPatients with normal platelet count (i.e.150 × 10e9 to 399 × 10e9/L) |
Who may qualify
- Ages
- 18 to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients will be recruited from the intensive care unit at the General Hospital of León, Guanajuato, Mexico. The sampling technique will be a convenience sampling as this is a regional urban hospital that serves a total population of approximately 1.5 million people.
Key inclusion criteria (3 listed)
- Patients diagnosed with sepsis (white blood cells >14,000μL) and thrombocytopenia (<150,000/μL).
- Patients who receive care in the ICU of the General Hospital of León, Gto.
- Patients with a complete file with 90-day evolution notes.
Key exclusion criteria (11 listed)
- Patients diagnosed with cardiogenic, hypovolemic, anaphylactic and neurogenic shock
- Patients older than 80 years or younger than 18 years of age
- Patients referred from another ICU
- Patients with a diagnosis of neoplasia (i.e. hematologic and/or solid tumor)
- Pregnant women
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Platelet countAlso: Procalcitonin levelsAll patients who are admitted to the intensive care unit of this hospital and meet the inclusion criteria will be followed for 90 days. There will be a complete review of the file that includes the entire hospitalization, in order to collect demographic information, clinical, laboratory reports, and imaging reports among others. Patients who are transferred to other units due to clinical improvement will be followed peripherally by the internal medicine department and the patients who are released due to clinical improvement will be contacted via telephone or in their next outpatient consultation with an internist. | Diagnostic test | Control group, Mild thrombocytopenia, Moderate thrombocytopenia, Severe thrombocytopenia |
Primary outcome
Survival and mortality rate
Time frame: 30 days after ICU admission
Multivariate-adjusted Cox proportional hazards regression models will be used to study the relationship between the diagnostic groups upon admission to the ICU and the mortality rate. Cox regression models adjusted to control the influence of sociodemographic variables will be used. Kaplan-Meier graphs will be used to show differences in the risk of progression to sepsis, septic shock, and death at 30 days.
4 secondary outcomes
Survival and mortality rate
Time frame: 60 days after ICU admission
Survival and mortality rate
Time frame: 90 days after ICU admission
Association between platelet levels and diagnosis
Time frame: 30 days after ICU admission
Platelet serum levels will be compared with the different clinical outcomes
Time frame: 30 days after ICU admission
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 25 Sep 2019.
- Results publication: PubMed 11445675Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med. 2001 Jul;29(7):1303-10. doi: 10.1097/00003246-200107000-00002.
- Results publication: PubMed 29132513Armstrong BA, Betzold RD, May AK. Sepsis and Septic Shock Strategies. Surg Clin North Am. 2017 Dec;97(6):1339-1379. doi: 10.1016/j.suc.2017.07.003. Epub 2017 Oct 5.
- Results publication: PubMed 19242347Asaduzzaman M, Lavasani S, Rahman M, Zhang S, Braun OO, Jeppsson B, Thorlacius H. Platelets support pulmonary recruitment of neutrophils in abdominal sepsis. Crit Care Med. 2009 Apr;37(4):1389-96. doi: 10.1097/CCM.0b013e31819ceb71.
- Results publication: PubMed 24280933Balk RA. Systemic inflammatory response syndrome (SIRS): where did it come from and is it still relevant today? Virulence. 2014 Jan 1;5(1):20-6. doi: 10.4161/viru.27135. Epub 2013 Nov 13.
- Results publication: PubMed 24807083Bassetti M, Righi E, Ansaldi F, Merelli M, Trucchi C, De Pascale G, Diaz-Martin A, Luzzati R, Rosin C, Lagunes L, Trecarichi EM, Sanguinetti M, Posteraro B, Garnacho-Montero J, Sartor A, Rello J, Rocca GD, Antonelli M, Tumbarello M. A multicenter study of septic shock due to candidemia: outcomes and predictors of mortality. Intensive Care Med. 2014 Jun;40(6):839-45. doi: 10.1007/s00134-014-3310-z. Epub 2014 May 8.
- Results publication: PubMed 19450911Blair P, Flaumenhaft R. Platelet alpha-granules: basic biology and clinical correlates. Blood Rev. 2009 Jul;23(4):177-89. doi: 10.1016/j.blre.2009.04.001. Epub 2009 May 17.
- Results publication: PubMed 28196938Boehme AK, Ranawat P, Luna J, Kamel H, Elkind MS. Risk of Acute Stroke After Hospitalization for Sepsis: A Case-Crossover Study. Stroke. 2017 Mar;48(3):574-580. doi: 10.1161/STROKEAHA.116.016162. Epub 2017 Feb 14.
- Results publication: PubMed 10786961Brun-Buisson C. The epidemiology of the systemic inflammatory response. Intensive Care Med. 2000;26 Suppl 1(Suppl 1):S64-74. doi: 10.1007/s001340051121.
- Results publication: PubMed 19919792Carrillo-Esper R, Carrillo-Cordova JR, Carrillo-Cordova LD. Epidemiological study of sepsis in Mexican intensive care units. Cir Cir. 2009 Jul-Aug;77(4):301-8; 279-85. English, Spanish.
- Results publication: PubMed 25479113Casserly B, Phillips GS, Schorr C, Dellinger RP, Townsend SR, Osborn TM, Reinhart K, Selvakumar N, Levy MM. Lactate measurements in sepsis-induced tissue hypoperfusion: results from the Surviving Sepsis Campaign database. Crit Care Med. 2015 Mar;43(3):567-73. doi: 10.1097/CCM.0000000000000742.
- Results publication: PubMed 27649072Churpek MM, Snyder A, Han X, Sokol S, Pettit N, Howell MD, Edelson DP. Quick Sepsis-related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores for Detecting Clinical Deterioration in Infected Patients outside the Intensive Care Unit. Am J Respir Crit Care Med. 2017 Apr 1;195(7):906-911. doi: 10.1164/rccm.201604-0854OC.
- Results publication: PubMed 17384648Clark SR, Ma AC, Tavener SA, McDonald B, Goodarzi Z, Kelly MM, Patel KD, Chakrabarti S, McAvoy E, Sinclair GD, Keys EM, Allen-Vercoe E, Devinney R, Doig CJ, Green FH, Kubes P. Platelet TLR4 activates neutrophil extracellular traps to ensnare bacteria in septic blood. Nat Med. 2007 Apr;13(4):463-9. doi: 10.1038/nm1565. Epub 2007 Mar 25.
- Individual participant dataSharing planned: No. Abiding by the Declaration of Helsinki, patient anonymity will be guaranteed.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Jaime D Mondragón, MD, MS principal investigator
University Medical Center Groningen
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Thrombocytopenia and Septic Shock, run by Universidad de Guanajuato at 1 site in Mexico.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 11 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 25 Sep 2019. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Mexico. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Survival and mortality rate (time frame: 30 days after ICU admission). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03617965, which also lists 67 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 25 Sep 2019; AzTrials last refreshed its copy on 6 Nov 2026.