Covid19NCT05060562
Post Coronavirus Disease (COVID-19) Syndrome Indonesian Population
An observational study of Covid19, run by Hasanuddin University at 2 sites in Indonesia.
Trial summary
Background and Objective Persistent symptoms after COVID 19 episodes (or referred to as Long COVID) can appear at a certain period and affect the quality of life of the patients, as well as introduce other comorbidities. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Covid19
- What is being tested?
- COVID 19 positive and COVID 19 negative
- How many people
- 6,051 participants
- Where
- 2 sitesIndonesia
- Study dates
- 1 Sep 2021to 15 Nov 2023
- 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 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Any stage of Coronavirus Disease 2019 patients during the pandemic in Indonesia that are able to provide their clinical information and daily observation with the details as follows 1. Asymptomatic or mild cases who underwent home isolation with telemedicine 2. Patient admitted to the field hospital for close monitoring (including asymptomatic or mild cases with comorbidities) 3. Patient admitted to the general hospital that requires oxygen supplementation, plasma convalescent therapy, or intensive care. Source of data including : 1. Daily observation record 2. Laboratory information 3. Medical Resume given to the patient
Who may be able to join
- Age above 18 years old
- Diagnosed as Coronavirus Disease 2019 by RT- PCR, or Rapid Antigen
Who cannot join
- Unable to retrieve information regarding the persistent symptoms
- Died within six months after declared as cured
Trial locations and contacts
2 sites in 1 country.
Indonesia2 sites
Hasanuddin University Medical Research Center / HUMRC
Makassar, South Sulawesi, 90245
Khairun University Faculty of Medicine
Ternate, North Maluku
About this study
Official title: Predictors of the Occurrence of Post Coronavirus Disease Syndrome Among COVID-19 Patients in Indonesia
Background and Objective Persistent symptoms after COVID 19 episodes (or referred to as Long COVID) can appear at a certain period and affect the quality of life of the patients, as well as introduce other comorbidities. It is important to address the associated factors of persistent symptoms after the COVID 19 episode. By identifying these factors, a screening method could be deployed to detect individuals that are prone to persistent COVID 19 symptoms.
Method:
Read more
This cohort study recruit COVID 19 patients at all stages in Indonesia (including people who underwent home isolation). Patient-based clinical information is collected from the patient including the demographic information, general health status, COVID 19 vaccination, and COVID 19 treatment. The outcome is the occurrence of persistent COVID 19-related symptoms after being declared as cured. A logistic regression model and Cox Regression are applied to the model to find the associated factors. Machine learning and Deep Learning model will be constructed and deployed into a web-based application for a further screening program.
Hypothesis:
- There is an association between duration of COVID episode, repeated COVID episode, and the presence of persistent COVID 19 Symptoms
- Vaccinated individual who was infected with Severe Acute Respiratory Syndrome (SARS) Coronavirus 2 (COV2) will have less persistent COVID 19 symptoms
- Individuals with comorbidities are prone to persistent COVID 19 Symptoms
- Appropriate medications (including early administration of antiviral therapy) lead to a lower probability of persistent COVID 19 Symptoms
Read the detailed description
Target Population:
As explained in the study population section
Recruitment
- Snowball technique from the COVID 19 survivor groups
- Online questionnaire is provided to obtain the data
Data Source:
- Medical Resume
- Laboratory Information possessed by individuals
- Telemedicine observation possessed by individuals
Predictors:
- Demographic factors (age at diagnosis and current age at data collection, sex at birth, occupation, education, province of domicile, and possession of health insurance during COVID 19 infection)
- General health status (Body Mass Index, presence of chronic disease and comorbidities, smoking, alcohol drinking, moderate physical activity)
- History of COVID 19 vaccination (date, type of vaccine, booster dose, side effect, and medication following the vaccination)
- COVID 19 episode (date of diagnosis, method of diagnosis confirmation, history of suspected SARS COV2 reinfection, Cycle-Threshold (CT) value, the symptoms and duration of the symptoms, medication, oxygen supplementation, hospitalization, or receiving plasma convalescent therapy)
List of persistent COVID 19 symptoms in this study (and not limited to)
- Neurological and Psychiatric symptoms
- Anxiety
- Depression
- Sleep disturbances
- PTSD
- Cognitive impairment
- Ear Nose Throat symptoms
- Persistent anosmia
- Persistent ageusia
- Tinnitus and other hearing disorders
- Respiratory Symptoms
- Chronic cough
- Shortness of breath
- Cardiovascular symptoms
- Peripheral artery disease
- New onset of arrhythmia
- Carditis (either pericarditis or myocarditis)
- Hematological symptoms
- Thromboembolic event
- Renal Disorder
- Reduced filtration function
- Musculoskeletal disorder
- Chronic fatigue
- Joint pain
- Muscular pain
- Dermatology disorder
- Rash
- Hair loss
- Gastrointestinal disorder
- Chronic Diarrhea
- Irritable Bowel Syndrome
Study Size
- The one-sample proportion formula
- Type I error value as 5%.
- The prevalence of COVID 19 in Indonesia is 1%
- Absolute value of margin of error set as 0.5%
- the total sample needed is 1152 participants.
Proposed Statistical Analysis
- Data cleaning was conducted
- No imputation to missing data
- Descriptive statistics and normality tests
- Logistic regression to analyze the associated factors of each outcome followed by estimating the adjusted odds ratio.
- The time-to-event analysis for post COVID symptoms was conducted in a certain subgroup of the variables using the cox regression model.
- Neural Network model and deployment into a web-based application
- Conditions
- Covid19
- Being tested
- COVID 19 positive, COVID 19 negative
- Keywords
- COVID 19, Post COVID 19 symptoms
- Medical subject headings
- COVID-19
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
COVID 19 positiveOther
Diagnosed as COVID 19 patient using Real-Time Polymerase Chain Reaction (RT-PCR) with the nasopharyngeal swab, or Rapid Antigen test of nasopharyngeal swab with suggestive symptoms.
COVID 19 negativeOther
Suspected COVID 19 patients who were tested negative using either Real-Time Polymerase Chain Reaction (RT-PCR) with the nasopharyngeal swab, or Rapid Antigen test of nasopharyngeal swab.
| Study group | Role | What they receive |
|---|---|---|
| Post COVID 19 symptoms Positive | The presence of persistent COVID-related symptoms after being cured. Receives: Other: COVID 19 positive; Other: COVID 19 negative | |
| Post COVID 19 symptoms Negative | No persistent COVID-related symptoms after cured Receives: Other: COVID 19 positive; Other: COVID 19 negative |
What is being measured
The primary outcome is the main question the study is designed to answer.
Presence of post COVID 19 Symptoms two weeks
Any COVID-related symptoms persist after declared cured. Defined as a binary response, yes or no
Measured: within two weeks after declared cured
Presence of post COVID 19 Symptoms four weeks
Any COVID-related symptoms persist after declared cured. Defined as a binary response, yes or no
Measured: within four weeks after declared cured
Presence of post COVID 19 Symptoms eight weeks
Any COVID-related symptoms persist after declared cured. Defined as a binary response, yes or no
Measured: within eight weeks after declared cured
Presence of post COVID 19 Symptoms twelve weeks
Any COVID-related symptoms persist after declared cured. Defined as a binary response, yes or no
Measured: within twelve weeks after declared cured
Presence of post COVID 19 Symptoms six months
Any COVID-related symptoms persist after declared cured. Defined as a binary response, yes or no
Measured: within six months after declared cured
Secondary outcomes (1)
Presence of post COVID 19 Symptoms among vaccinated individual diagnosed with COVID 19
Any COVID-related symptoms persist after declared cured among vaccinated individual. Defined as a binary response, yes or no
Measured: within six months after declared cured
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted29 Sep 2021
- Study start1 Sep 2021
- Primary completion1 Sep 2023
- Study completion15 Nov 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (13)Papers the sponsor has linked to this study.
- Other trials for Covid19Studies 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
- 6,051 participants (actual)
Sponsor and investigators
- Lead sponsor
- Hasanuddin University
- Sponsor type
- University, hospital or other
- Collaborators
- Chulalongkorn University
- Responsible party
- Principal investigator, Bumi Herman, Hasanuddin University
- Investigators
- Bumi Herman, M.D Ph.D, Principal investigator, Chulalongkorn UniversitySathirakorn Pongpanich, Ph.D, Study director, Chulalongkorn UniversityPramon Viwattanakulvanid, Ph.D, Principal investigator, Chulalongkorn University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05060562
- Sponsor's protocol ID
- 1407212101
- Status last verified
- Nov 2023
- First submitted
- 20 Sep 2021
- Last updated
- 27 Nov 2023
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: de-identified data will be shared accordingly
Publications
Carfi A, Bernabei R, Landi F; Gemelli Against COVID-19 Post-Acute Care Study Group. Persistent Symptoms in Patients After Acute COVID-19. JAMA. 2020 Aug 11;324(6):603-605. doi: 10.1001/jama.2020.12603.
PubMed 32644129Huang C, Huang L, Wang Y, Li X, Ren L, Gu X, Kang L, Guo L, Liu M, Zhou X, Luo J, Huang Z, Tu S, Zhao Y, Chen L, Xu D, Li Y, Li C, Peng L, Li Y, Xie W, Cui D, Shang L, Fan G, Xu J, Wang G, Wang Y, Zhong J, Wang C, Wang J, Zhang D, Cao B. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021 Jan 16;397(10270):220-232. doi: 10.1016/S0140-6736(20)32656-8. Epub 2021 Jan 8.
PubMed 33428867Ahmed H, Patel K, Greenwood DC, Halpin S, Lewthwaite P, Salawu A, Eyre L, Breen A, O'Connor R, Jones A, Sivan M. Long-term clinical outcomes in survivors of severe acute respiratory syndrome and Middle East respiratory syndrome coronavirus outbreaks after hospitalisation or ICU admission: A systematic review and meta-analysis. J Rehabil Med. 2020 May 31;52(5):jrm00063. doi: 10.2340/16501977-2694.
PubMed 32449782Hui DS, Joynt GM, Wong KT, Gomersall CD, Li TS, Antonio G, Ko FW, Chan MC, Chan DP, Tong MW, Rainer TH, Ahuja AT, Cockram CS, Sung JJ. Impact of severe acute respiratory syndrome (SARS) on pulmonary function, functional capacity and quality of life in a cohort of survivors. Thorax. 2005 May;60(5):401-9. doi: 10.1136/thx.2004.030205.
PubMed 15860716Lam MH, Wing YK, Yu MW, Leung CM, Ma RC, Kong AP, So WY, Fong SY, Lam SP. Mental morbidities and chronic fatigue in severe acute respiratory syndrome survivors: long-term follow-up. Arch Intern Med. 2009 Dec 14;169(22):2142-7. doi: 10.1001/archinternmed.2009.384.
PubMed 20008700Lee SH, Shin HS, Park HY, Kim JL, Lee JJ, Lee H, Won SD, Han W. Depression as a Mediator of Chronic Fatigue and Post-Traumatic Stress Symptoms in Middle East Respiratory Syndrome Survivors. Psychiatry Investig. 2019 Jan;16(1):59-64. doi: 10.30773/pi.2018.10.22.3. Epub 2019 Jan 7.
PubMed 30605995Moldofsky H, Patcai J. Chronic widespread musculoskeletal pain, fatigue, depression and disordered sleep in chronic post-SARS syndrome; a case-controlled study. BMC Neurol. 2011 Mar 24;11:37. doi: 10.1186/1471-2377-11-37.
PubMed 21435231Greenhalgh T, Knight M, A'Court C, Buxton M, Husain L. Management of post-acute covid-19 in primary care. BMJ. 2020 Aug 11;370:m3026. doi: 10.1136/bmj.m3026. No abstract available.
PubMed 32784198Shah W, Hillman T, Playford ED, Hishmeh L. Managing the long term effects of covid-19: summary of NICE, SIGN, and RCGP rapid guideline. BMJ. 2021 Jan 22;372:n136. doi: 10.1136/bmj.n136. No abstract available.
PubMed 33483331Moreno-Perez O, Merino E, Leon-Ramirez JM, Andres M, Ramos JM, Arenas-Jimenez J, Asensio S, Sanchez R, Ruiz-Torregrosa P, Galan I, Scholz A, Amo A, Gonzalez-delaAleja P, Boix V, Gil J; COVID19-ALC research group. Post-acute COVID-19 syndrome. Incidence and risk factors: A Mediterranean cohort study. J Infect. 2021 Mar;82(3):378-383. doi: 10.1016/j.jinf.2021.01.004. Epub 2021 Jan 12.
PubMed 33450302Jacobs LG, Gourna Paleoudis E, Lesky-Di Bari D, Nyirenda T, Friedman T, Gupta A, Rasouli L, Zetkulic M, Balani B, Ogedegbe C, Bawa H, Berrol L, Qureshi N, Aschner JL. Persistence of symptoms and quality of life at 35 days after hospitalization for COVID-19 infection. PLoS One. 2020 Dec 11;15(12):e0243882. doi: 10.1371/journal.pone.0243882. eCollection 2020.
PubMed 33306721Herman B, Wong MCS, Chantharit P, Hannanu FF, Viwattanakulvanid P. Longitudinal study of disease severity and external factors in cognitive failure after COVID-19 among Indonesian population. Sci Rep. 2023 Nov 8;13(1):19405. doi: 10.1038/s41598-023-46334-2.
PubMed 37938599Herman B, Bruni A, Zain E, Dzulhadj A, Oo AC; Viwattanakulvanid. Post-COVID depression and its multiple factors, does Favipiravir have a protective effect? A longitudinal study of indonesia COVID-19 patients. PLoS One. 2022 Dec 30;17(12):e0279184. doi: 10.1371/journal.pone.0279184. eCollection 2022.
PubMed 36584099
Study at a glance
From the registry record, last updated by the sponsor on 27 Nov 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Predictors of the Occurrence of Post Coronavirus Disease Syndrome Among COVID-19 Patients in Indonesia
- ClinicalTrials.gov ID
- NCT05060562
- Acronym / sponsor ID
- 1407212101
- Conditions
- Covid19
- Keywords
- COVID 19, Post COVID 19 symptoms
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 6,051 participants (actual)
- Lead sponsor
- Hasanuddin UniversityUniversity, hospital or other
- Collaborators
- Chulalongkorn University
- Study start
- 1 Sep 2021 (actual)
- Primary completion
- 1 Sep 2023 (actual)
- Study completion
- 15 Nov 2023 (actual)
- First posted
- 29 Sep 2021 (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.
Background and Objective Persistent symptoms after COVID 19 episodes (or referred to as Long COVID) can appear at a certain period and affect the quality of life of the patients, as well as introduce other comorbidities. It is important to address the associated factors of persistent symptoms after the COVID 19 episode. By identifying these factors, a screening method could be deployed to detect individuals that are prone to persistent COVID 19 symptoms.
Method:
This cohort study recruit COVID 19 patients at all stages in Indonesia (including people who underwent home isolation). Patient-based clinical information is collected from the patient including the demographic information, general health status, COVID 19 vaccination, and COVID 19 treatment. The outcome is the occurrence of persistent COVID 19-related symptoms after being declared as cured. A logistic regression model and Cox Regression are applied to the model to find the associated factors. Machine learning and Deep Learning model will be constructed and deployed into a web-based application for a further screening program.
Hypothesis:
- There is an association between duration of COVID episode, repeated COVID episode, and the presence of persistent COVID 19 Symptoms
- Vaccinated individual who was infected with Severe Acute Respiratory Syndrome (SARS) Coronavirus 2 (COV2) will have less persistent COVID 19 symptoms
- Individuals with comorbidities are prone to persistent COVID 19 Symptoms
- Appropriate medications (including early administration of antiviral therapy) lead to a lower probability of persistent COVID 19 Symptoms
Detailed description
Target Population:
As explained in the study population section
Recruitment
- Snowball technique from the COVID 19 survivor groups
- Online questionnaire is provided to obtain the data
Data Source:
- Medical Resume
- Laboratory Information possessed by individuals
- Telemedicine observation possessed by individuals
Predictors:
- Demographic factors (age at diagnosis and current age at data collection, sex at birth, occupation, education, province of domicile, and possession of health insurance during COVID 19 infection)
- General health status (Body Mass Index, presence of chronic disease and comorbidities, smoking, alcohol drinking, moderate physical activity)
- History of COVID 19 vaccination (date, type of vaccine, booster dose, side effect, and medication following the vaccination)
- COVID 19 episode (date of diagnosis, method of diagnosis confirmation, history of suspected SARS COV2 reinfection, Cycle-Threshold (CT) value, the symptoms and duration of the symptoms, medication, oxygen supplementation, hospitalization, or receiving plasma convalescent therapy)
List of persistent COVID 19 symptoms in this study (and not limited to)
- Neurological and Psychiatric symptoms
- Anxiety
- Depression
- Sleep disturbances
- PTSD
- Cognitive impairment
- Ear Nose Throat symptoms
- Persistent anosmia
- Persistent ageusia
- Tinnitus and other hearing disorders
- Respiratory Symptoms
- Chronic cough
- Shortness of breath
- Cardiovascular symptoms
- Peripheral artery disease
- New onset of arrhythmia
- Carditis (either pericarditis or myocarditis)
- Hematological symptoms
- Thromboembolic event
- Renal Disorder
- Reduced filtration function
- Musculoskeletal disorder
- Chronic fatigue
- Joint pain
- Muscular pain
- Dermatology disorder
- Rash
- Hair loss
- Gastrointestinal disorder
- Chronic Diarrhea
- Irritable Bowel Syndrome
Study Size
- The one-sample proportion formula
- Type I error value as 5%.
- The prevalence of COVID 19 in Indonesia is 1%
- Absolute value of margin of error set as 0.5%
- the total sample needed is 1152 participants.
Proposed Statistical Analysis
- Data cleaning was conducted
- No imputation to missing data
- Descriptive statistics and normality tests
- Logistic regression to analyze the associated factors of each outcome followed by estimating the adjusted odds ratio.
- The time-to-event analysis for post COVID symptoms was conducted in a certain subgroup of the variables using the cox regression model.
- Neural Network model and deployment into a web-based application
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Post COVID 19 symptoms Positive | – | Other: COVID 19 positive, Other: COVID 19 negativeThe presence of persistent COVID-related symptoms after being cured. |
| Post COVID 19 symptoms Negative | – | Other: COVID 19 positive, Other: COVID 19 negativeNo persistent COVID-related symptoms after cured |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Any stage of Coronavirus Disease 2019 patients during the pandemic in Indonesia that are able to provide their clinical information and daily observation with the details as follows 1. Asymptomatic or mild cases who underwent home isolation with telemedicine 2. Patient admitted to the field hospital for close monitoring (including asymptomatic or mild cases with comorbidities) 3. Patient admitted to the general hospital that requires oxygen supplementation, plasma convalescent therapy, or intensive care. Source of data including : 1. Daily observation record 2. Laboratory information 3. Medical Resume given to the patient
Key inclusion criteria (2 listed)
- Age above 18 years old
- Diagnosed as Coronavirus Disease 2019 by RT- PCR, or Rapid Antigen
Key exclusion criteria (2 listed)
- Unable to retrieve information regarding the persistent symptoms
- Died within six months after declared as cured
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 |
|---|---|---|
| COVID 19 positiveDiagnosed as COVID 19 patient using Real-Time Polymerase Chain Reaction (RT-PCR) with the nasopharyngeal swab, or Rapid Antigen test of nasopharyngeal swab with suggestive symptoms. | Other | Post COVID 19 symptoms Negative, Post COVID 19 symptoms Positive |
| COVID 19 negativeSuspected COVID 19 patients who were tested negative using either Real-Time Polymerase Chain Reaction (RT-PCR) with the nasopharyngeal swab, or Rapid Antigen test of nasopharyngeal swab. | Other | Post COVID 19 symptoms Negative, Post COVID 19 symptoms Positive |
Primary outcome
Presence of post COVID 19 Symptoms two weeks
Time frame: within two weeks after declared cured
Any COVID-related symptoms persist after declared cured. Defined as a binary response, yes or no
Presence of post COVID 19 Symptoms four weeks
Time frame: within four weeks after declared cured
Any COVID-related symptoms persist after declared cured. Defined as a binary response, yes or no
Presence of post COVID 19 Symptoms eight weeks
Time frame: within eight weeks after declared cured
Any COVID-related symptoms persist after declared cured. Defined as a binary response, yes or no
Presence of post COVID 19 Symptoms twelve weeks
Time frame: within twelve weeks after declared cured
Any COVID-related symptoms persist after declared cured. Defined as a binary response, yes or no
Presence of post COVID 19 Symptoms six months
Time frame: within six months after declared cured
Any COVID-related symptoms persist after declared cured. Defined as a binary response, yes or no
1 secondary outcome
Presence of post COVID 19 Symptoms among vaccinated individual diagnosed with COVID 19
Time frame: within six months after declared cured
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 Nov 2023.
- Background: PubMed 32644129Carfi A, Bernabei R, Landi F; Gemelli Against COVID-19 Post-Acute Care Study Group. Persistent Symptoms in Patients After Acute COVID-19. JAMA. 2020 Aug 11;324(6):603-605. doi: 10.1001/jama.2020.12603.
- Background: PubMed 33428867Huang C, Huang L, Wang Y, Li X, Ren L, Gu X, Kang L, Guo L, Liu M, Zhou X, Luo J, Huang Z, Tu S, Zhao Y, Chen L, Xu D, Li Y, Li C, Peng L, Li Y, Xie W, Cui D, Shang L, Fan G, Xu J, Wang G, Wang Y, Zhong J, Wang C, Wang J, Zhang D, Cao B. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021 Jan 16;397(10270):220-232. doi: 10.1016/S0140-6736(20)32656-8. Epub 2021 Jan 8.
- Background: PubMed 32449782Ahmed H, Patel K, Greenwood DC, Halpin S, Lewthwaite P, Salawu A, Eyre L, Breen A, O'Connor R, Jones A, Sivan M. Long-term clinical outcomes in survivors of severe acute respiratory syndrome and Middle East respiratory syndrome coronavirus outbreaks after hospitalisation or ICU admission: A systematic review and meta-analysis. J Rehabil Med. 2020 May 31;52(5):jrm00063. doi: 10.2340/16501977-2694.
- Background: PubMed 15860716Hui DS, Joynt GM, Wong KT, Gomersall CD, Li TS, Antonio G, Ko FW, Chan MC, Chan DP, Tong MW, Rainer TH, Ahuja AT, Cockram CS, Sung JJ. Impact of severe acute respiratory syndrome (SARS) on pulmonary function, functional capacity and quality of life in a cohort of survivors. Thorax. 2005 May;60(5):401-9. doi: 10.1136/thx.2004.030205.
- Background: PubMed 20008700Lam MH, Wing YK, Yu MW, Leung CM, Ma RC, Kong AP, So WY, Fong SY, Lam SP. Mental morbidities and chronic fatigue in severe acute respiratory syndrome survivors: long-term follow-up. Arch Intern Med. 2009 Dec 14;169(22):2142-7. doi: 10.1001/archinternmed.2009.384.
- Background: PubMed 30605995Lee SH, Shin HS, Park HY, Kim JL, Lee JJ, Lee H, Won SD, Han W. Depression as a Mediator of Chronic Fatigue and Post-Traumatic Stress Symptoms in Middle East Respiratory Syndrome Survivors. Psychiatry Investig. 2019 Jan;16(1):59-64. doi: 10.30773/pi.2018.10.22.3. Epub 2019 Jan 7.
- Background: PubMed 21435231Moldofsky H, Patcai J. Chronic widespread musculoskeletal pain, fatigue, depression and disordered sleep in chronic post-SARS syndrome; a case-controlled study. BMC Neurol. 2011 Mar 24;11:37. doi: 10.1186/1471-2377-11-37.
- Background: PubMed 32784198Greenhalgh T, Knight M, A'Court C, Buxton M, Husain L. Management of post-acute covid-19 in primary care. BMJ. 2020 Aug 11;370:m3026. doi: 10.1136/bmj.m3026. No abstract available.
- Background: PubMed 33483331Shah W, Hillman T, Playford ED, Hishmeh L. Managing the long term effects of covid-19: summary of NICE, SIGN, and RCGP rapid guideline. BMJ. 2021 Jan 22;372:n136. doi: 10.1136/bmj.n136. No abstract available.
- Background: PubMed 33450302Moreno-Perez O, Merino E, Leon-Ramirez JM, Andres M, Ramos JM, Arenas-Jimenez J, Asensio S, Sanchez R, Ruiz-Torregrosa P, Galan I, Scholz A, Amo A, Gonzalez-delaAleja P, Boix V, Gil J; COVID19-ALC research group. Post-acute COVID-19 syndrome. Incidence and risk factors: A Mediterranean cohort study. J Infect. 2021 Mar;82(3):378-383. doi: 10.1016/j.jinf.2021.01.004. Epub 2021 Jan 12.
- Background: PubMed 33306721Jacobs LG, Gourna Paleoudis E, Lesky-Di Bari D, Nyirenda T, Friedman T, Gupta A, Rasouli L, Zetkulic M, Balani B, Ogedegbe C, Bawa H, Berrol L, Qureshi N, Aschner JL. Persistence of symptoms and quality of life at 35 days after hospitalization for COVID-19 infection. PLoS One. 2020 Dec 11;15(12):e0243882. doi: 10.1371/journal.pone.0243882. eCollection 2020.
- Derived from this study: PubMed 37938599Herman B, Wong MCS, Chantharit P, Hannanu FF, Viwattanakulvanid P. Longitudinal study of disease severity and external factors in cognitive failure after COVID-19 among Indonesian population. Sci Rep. 2023 Nov 8;13(1):19405. doi: 10.1038/s41598-023-46334-2.
- Questionnaire in Indonesian languageLink provided by the sponsor.
- Individual participant dataSharing planned: Undecided. de-identified data will be shared accordingly
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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.
Bumi Herman, M.D Ph.D principal investigator
Chulalongkorn University
Sathirakorn Pongpanich, Ph.D study director
Chulalongkorn University
Pramon Viwattanakulvanid, Ph.D principal investigator
Chulalongkorn University
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Covid19, run by Hasanuddin University at 2 sites in Indonesia.
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 2 inclusion and 2 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: finished, as of the sponsor's last update on 27 Nov 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Indonesia. 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
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?
Presence of post COVID 19 Symptoms two weeks (time frame: within two weeks after declared cured). The study lists 5 primary outcomes in all. 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 NCT05060562, which also lists 13 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 27 Nov 2023.