Risk Factors for COVID-19 Outcomes in Elderly PopulationsCOVID-OLDNCT04381312
Direct and Indirect Impact of COVID-19 In Older Populations
An observational study of Risk Factors for COVID-19 Outcomes in Elderly Populations, run by University Hospital, Grenoble at 1 site in France.
Trial summary
This study propose to describe risk factors for acute and long term mortality of COVID 19 in patients up to 70 years old. Read more about this study
- Who is it for?
- Ages 70 years and older
- Conditions the study is for
- Risk Factors for COVID-19 Outcomes in Elderly Populations
- How many people
- 1,000 participants
- Where
- 1 siteFrance
- Study dates
- 9 Apr 2020to 9 Oct 2021
- 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 70 years and older
- All sexes
- No healthy volunteers
- Older adult
Study population: Older populations admitted in acute care ward for COVID 19 eor in post acute care.
Who may be able to join
- + positive PCR confirmed COVID 19 (confirmed case) or positive Thoracic CT Scan - (probable case)
Who cannot join
- Direct admission in Intensive care.
Trial locations and contacts
1 site in 1 country.
France1 site, 1 recruiting
- Recruiting
Chu Grenoble Alpes
Grenoble, Grenoble, 38043
About this study
Official title: COVID-19 Chez la Personne âgée de Plus de 70 Ans : Impact Direct et Indirect à 3 Mois.
This study propose to describe risk factors for acute and long term mortality of COVID 19 in patients up to 70 years old.
Read the detailed description
In December 2019, Wuhan city in China, became the center of an outbreak of pneumonia due to a novel coronavirus SARS-CoV-2, which disease was named coronavirus disease 2019 (COVID19) in February, 2020, by WHO. The COVID19 is much more dangerous for people over 60 with a death rate of 3.6% after 60, 8.0% after 70 and 14.8% after 80 -and according to our Italian colleagues over 20% after 90- against 2.3% in the general population. The elderly patients exhibits more complications (ARDS, delirium, cardiac and renal insufficiency) needing intensive care, and often had multiple comorbidities and in particular: cardiovascular disease (10.5% mortality), diabetes (7.3%), chronic respiratory disease (6.3%) and hypertension (6%).
Very few data are available the specific burden of Infectious diseases (ID) in older populations. The large majority of literature is often related to intrahospital or direct mortality and only recently arise the idea of indirect impact of ID particularly in that populations. In that meaning, ID may be considered as a trigger of other medical events such as myocardial infarction, stroke, or other specific outcomes such as functional decline; For the last 10 years, the Specific interest group " GInGer "( Groupe Infectio-Geriatrique ) a network of infectiologist and geriatrician SPILF/SFGG) carried out several studies on different aspects of ID in theses populations and recently demonstrated the indirect and long term impact of influenza and Clostridioides difficile infections. As an example, In influenza study, death-rate increases from 12,2 % in hospital related death to 25% at 3 months with high rate of complications (57%), high rates of rehospitalisation (25%) and functional decline (35%) leading to high increase in nursing home admission. The cost of these indirect impact is high and underestimated.
Because of incidence and comorbidities rates, severity of the actual French older COVID 19-infected older populations and because of the potential indirect and long term impact of COVID19 in these populations, it seems essential to know whether 3 month related death is largely higher as for influenza, to determine risk factors for intra hospital and long term death, measure acute and long term complications, and describe the impact of COVID 19 on specific ageing outcomes such as functional status at Month 3 (M3).
- Keywords
- elderly, COVID 19, mortality, functional status
- Medical subject headings
- COVID-19
What is being measured
The primary outcome is the main question the study is designed to answer.
mortality
3-month survival curve
Measured: 3 months
Risk factors for death
Specific COVID 19 risk factors for death and geriatric risk factors for death
Measured: 3 months
mortality
12 month survival curve
Measured: 12 months
Risk factors for death
Specific COVID 19 risk factors for death and geriatric risk factors for death
Measured: 12 months
Secondary outcomes (8)
Describe clinical symptoms specific to old population
clinical symptoms (respiratory , non respiratory symptoms and Geriatric syndromes)
Measured: before and at admission
describe specific and non-specific treatments used for COVID 19
Prevalence and duration of specific treatments and non-specific treatments
Measured: through study completion, an average of 1 year
describe all acute complications
prevalence of all medical usual complications and geriatric acquired complications, such as delirium, falls, complications, such as delirium, falls, malnutrition, pressure sore)
Measured: through study completion, an average of 1 year
functional decline
rates of Functional decline between basal status (before admission) and admission,and between basal and 3 months, and between Discharge and 3 month.
Measured: 3 months post acute phase
Rehospitalisation
Prevalence of readmission to hospital
Measured: 3 months post acute phase
medical complications
Prevalence of medical complication s ( new infectious disease, c cardiovascular, metabolic diseases and geriatric acquired complications, such as delirium, falls, complications, such as delirium, falls, malnutrition, pressure sore)
Measured: 3 months post acute phase
Admission in nursing home
Prevalence of new nursing home admission
Measured: 3 months post acute phase
risk factors for 3-month functional decline, acute complication and admission to nursing home
Determine risk factors for 3-month functional decline, acute complication and admission to nursing home
Measured: 3 months post acute phase
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 May 2020
- Study start9 Apr 2020
- Primary completion9 Jul 2021 (estimated)
- Study completion9 Oct 2021 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (6)Papers the sponsor has linked to this study.
- Other trials for Risk Factors for COVID-19 Outcomes in Elderly PopulationsStudies of the same condition, open and under way.
- More trials run by University Hospital, GrenobleThe sponsor's other registered studies.
- 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
- 1,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University Hospital, Grenoble
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Gaetan GAVAZZI, Pr, Principal investigator, University Hospital, Grenoble
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04381312
- Sponsor's protocol ID
- 38RC20.118
- Other IDs
- 2020-A00846-33
- Acronym
- COVID-OLD
- Status last verified
- May 2020
- First submitted
- 10 Apr 2020
- Last updated
- 8 May 2020
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, Wang Y, Song B, Gu X, Guan L, Wei Y, Li H, Wu X, Xu J, Tu S, Zhang Y, Chen H, Cao B. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020 Mar 28;395(10229):1054-1062. doi: 10.1016/S0140-6736(20)30566-3. Epub 2020 Mar 11.
PubMed 32171076Gavazzi G, Krause KH. Ageing and infection. Lancet Infect Dis. 2002 Nov;2(11):659-66. doi: 10.1016/s1473-3099(02)00437-1.
PubMed 12409046High KP, Bradley S, Loeb M, Palmer R, Quagliarello V, Yoshikawa T. A new paradigm for clinical investigation of infectious syndromes in older adults: assessment of functional status as a risk factor and outcome measure. Clin Infect Dis. 2005 Jan 1;40(1):114-22. doi: 10.1086/426082. Epub 2004 Dec 6.
PubMed 15614700Seynaeve D, Augusseau-Riviere B, Couturier P, Morel-Baccard C, Landelle C, Bosson JL, Gavazzi G, Mallaret MR. Outbreak of Human Metapneumovirus in a Nursing Home: A Clinical Perspective. J Am Med Dir Assoc. 2020 Jan;21(1):104-109.e1. doi: 10.1016/j.jamda.2019.03.015. Epub 2019 May 14.
PubMed 311015885. Caupenne A, Ingrand P, Ingrand I, Forestier E, Roubaud-Baudron C, Gavazzi G, Paccalin M. Acute Clostridioides difficile Infection in Hospitalized Persons Aged 75 and Older: 30-Day Prognosis and Risk Factors for Mortality J Am Med Dir Assoc. 2019 Sep 16. pii: S1525-8610(19)30525-0. doi: 10.1016/j.jamda.2019.07.002.Tanovic E, Tanovic H, Kadic A, Vrabac D, Selimović S, Kostić D. The effect of the infection Clostridium difficile on the rehabilitation. Journal of Health Sciences 2014; 4(1): 55-8
Gavazzi G, Paccalin M, de Wazieres B, Roubaud-Baudron C, Fraisse T, Bernard L, Legout L, Aquino JP, Guerin O, Forestier E, Burden of influenza in older patients over the 2016-2017 winter season in France. XXIXth ECCMID Amsterdam. (Nethderland) 2019
Study at a glance
From the registry record, last updated by the sponsor on 8 May 2020. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- COVID-19 Chez la Personne âgée de Plus de 70 Ans : Impact Direct et Indirect à 3 Mois.
- ClinicalTrials.gov ID
- NCT04381312
- Acronym / sponsor ID
- COVID-OLD / 38RC20.118
- Keywords
- elderly, COVID 19, mortality, functional status
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 1,000 participants (estimated)
- Lead sponsor
- University Hospital, GrenobleUniversity, hospital or other
- Study start
- 9 Apr 2020 (actual)
- Primary completion
- 9 Jul 2021 (estimated)
- Study completion
- 9 Oct 2021 (estimated)
- First posted
- 8 May 2020 (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.
This study propose to describe risk factors for acute and long term mortality of COVID 19 in patients up to 70 years old.
Detailed description
In December 2019, Wuhan city in China, became the center of an outbreak of pneumonia due to a novel coronavirus SARS-CoV-2, which disease was named coronavirus disease 2019 (COVID19) in February, 2020, by WHO. The COVID19 is much more dangerous for people over 60 with a death rate of 3.6% after 60, 8.0% after 70 and 14.8% after 80 -and according to our Italian colleagues over 20% after 90- against 2.3% in the general population. The elderly patients exhibits more complications (ARDS, delirium, cardiac and renal insufficiency) needing intensive care, and often had multiple comorbidities and in particular: cardiovascular disease (10.5% mortality), diabetes (7.3%), chronic respiratory disease (6.3%) and hypertension (6%).
Very few data are available the specific burden of Infectious diseases (ID) in older populations. The large majority of literature is often related to intrahospital or direct mortality and only recently arise the idea of indirect impact of ID particularly in that populations. In that meaning, ID may be considered as a trigger of other medical events such as myocardial infarction, stroke, or other specific outcomes such as functional decline; For the last 10 years, the Specific interest group " GInGer "( Groupe Infectio-Geriatrique ) a network of infectiologist and geriatrician SPILF/SFGG) carried out several studies on different aspects of ID in theses populations and recently demonstrated the indirect and long term impact of influenza and Clostridioides difficile infections. As an example, In influenza study, death-rate increases from 12,2 % in hospital related death to 25% at 3 months with high rate of complications (57%), high rates of rehospitalisation (25%) and functional decline (35%) leading to high increase in nursing home admission. The cost of these indirect impact is high and underestimated.
Because of incidence and comorbidities rates, severity of the actual French older COVID 19-infected older populations and because of the potential indirect and long term impact of COVID19 in these populations, it seems essential to know whether 3 month related death is largely higher as for influenza, to determine risk factors for intra hospital and long term death, measure acute and long term complications, and describe the impact of COVID 19 on specific ageing outcomes such as functional status at Month 3 (M3).
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 70 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Older adult
- Study population
- Older populations admitted in acute care ward for COVID 19 eor in post acute care.
Key inclusion criteria (1 listed)
- + positive PCR confirmed COVID 19 (confirmed case) or positive Thoracic CT Scan - (probable case)
Key exclusion criteria (1 listed)
- Direct admission in Intensive care.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
mortality
Time frame: 3 months
3-month survival curve
Risk factors for death
Time frame: 3 months
Specific COVID 19 risk factors for death and geriatric risk factors for death
mortality
Time frame: 12 months
12 month survival curve
Risk factors for death
Time frame: 12 months
Specific COVID 19 risk factors for death and geriatric risk factors for death
8 secondary outcomes
Describe clinical symptoms specific to old population
Time frame: before and at admission
describe specific and non-specific treatments used for COVID 19
Time frame: through study completion, an average of 1 year
describe all acute complications
Time frame: through study completion, an average of 1 year
functional decline
Time frame: 3 months post acute phase
Rehospitalisation
Time frame: 3 months post acute phase
medical complications
Time frame: 3 months post acute phase
Admission in nursing home
Time frame: 3 months post acute phase
risk factors for 3-month functional decline, acute complication and admission to nursing home
Time frame: 3 months post acute phase
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 8 May 2020.
- Background: PubMed 32171076Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, Wang Y, Song B, Gu X, Guan L, Wei Y, Li H, Wu X, Xu J, Tu S, Zhang Y, Chen H, Cao B. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020 Mar 28;395(10229):1054-1062. doi: 10.1016/S0140-6736(20)30566-3. Epub 2020 Mar 11.
- Background: PubMed 12409046Gavazzi G, Krause KH. Ageing and infection. Lancet Infect Dis. 2002 Nov;2(11):659-66. doi: 10.1016/s1473-3099(02)00437-1.
- Background: PubMed 15614700High KP, Bradley S, Loeb M, Palmer R, Quagliarello V, Yoshikawa T. A new paradigm for clinical investigation of infectious syndromes in older adults: assessment of functional status as a risk factor and outcome measure. Clin Infect Dis. 2005 Jan 1;40(1):114-22. doi: 10.1086/426082. Epub 2004 Dec 6.
- Background: PubMed 31101588Seynaeve D, Augusseau-Riviere B, Couturier P, Morel-Baccard C, Landelle C, Bosson JL, Gavazzi G, Mallaret MR. Outbreak of Human Metapneumovirus in a Nursing Home: A Clinical Perspective. J Am Med Dir Assoc. 2020 Jan;21(1):104-109.e1. doi: 10.1016/j.jamda.2019.03.015. Epub 2019 May 14.
- Background5. Caupenne A, Ingrand P, Ingrand I, Forestier E, Roubaud-Baudron C, Gavazzi G, Paccalin M. Acute Clostridioides difficile Infection in Hospitalized Persons Aged 75 and Older: 30-Day Prognosis and Risk Factors for Mortality J Am Med Dir Assoc. 2019 Sep 16. pii: S1525-8610(19)30525-0. doi: 10.1016/j.jamda.2019.07.002.Tanovic E, Tanovic H, Kadic A, Vrabac D, Selimović S, Kostić D. The effect of the infection Clostridium difficile on the rehabilitation. Journal of Health Sciences 2014; 4(1): 55-8
- BackgroundGavazzi G, Paccalin M, de Wazieres B, Roubaud-Baudron C, Fraisse T, Bernard L, Legout L, Aquino JP, Guerin O, Forestier E, Burden of influenza in older patients over the 2016-2017 winter season in France. XXIXth ECCMID Amsterdam. (Nethderland) 2019
- Individual participant dataSharing planned: Undecided
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.
Gaetan GAVAZZI, Pr principal investigator
University Hospital, Grenoble
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 Risk Factors for COVID-19 Outcomes in Elderly Populations, run by University Hospital, Grenoble at 1 site in France.
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 1 inclusion and 1 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 8 May 2020. 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 France. 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?
Contact Gaëtan Gavazzi, PhD Professor (04 76 76 5421, ggavazzi@chu-grenoble.fr), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
mortality (time frame: 3 months). The study lists 4 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 NCT04381312, which also lists 6 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 8 May 2020; AzTrials last refreshed its copy on 8 Nov 2026.