Hemodynamic Characteristics of Patients With SARS-CoV-2 (PiCCOVID)
Hemodynamic Characteristics of Patients With SARS-CoV-2: PiCCOVID Study
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Val-de-Marne
-
Paris, Val-de-Marne, France, 94270
- Bicetre Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- ADULT
- OLDER_ADULT
- CHILD
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Confirmed or suspected SARS-Cov2 cases
- Patients admitted to ICU, defined as a unit in which patients can receive vasopressors.
- Monitored by a transpulmonary thermodilution system (PiCCO2 (Pulsion Medical Systems, Feldkirchen, Germany) or EV1000 (Edwards Lifesciences, Irvine, United States of America).
Exclusion Criteria:
- SARS Cov-2 Negative
- Refusal to participate in the study
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Body temperature
Time Frame: Through study completion, an estimation of 6 months
|
Body temperature(°C)
|
Through study completion, an estimation of 6 months
|
|
Blood pressure
Time Frame: Through study completion, an estimation of 6 months
|
Blood pressure in mmHg
|
Through study completion, an estimation of 6 months
|
|
Pulse (heart rate)
Time Frame: Through study completion, an estimation of 6 months
|
Pulse (heart rate) in times/minute
|
Through study completion, an estimation of 6 months
|
|
Respiratory rate
Time Frame: Through study completion, an estimation of 6 months
|
Respiratory rate in times/minute
|
Through study completion, an estimation of 6 months
|
|
Data provided by transpulmonary thermodilution-CI
Time Frame: Through study completion, an estimation of 6 months
|
Cardiac index (L/min/m2)
|
Through study completion, an estimation of 6 months
|
|
Data provided by transpulmonary thermodilution-GEDV
Time Frame: Through study completion, an estimation of 6 months
|
Global end-diastolic volume(mL/m2)
|
Through study completion, an estimation of 6 months
|
|
Data provided by transpulmonary thermodilution-EVLW
Time Frame: Through study completion, an estimation of 6 months
|
Extravascular lung water (mL/kg)
|
Through study completion, an estimation of 6 months
|
|
Data provided by transpulmonary thermodilution-PVPI
Time Frame: Through study completion, an estimation of 6 months
|
Pulmonary vascular permeability index
|
Through study completion, an estimation of 6 months
|
|
Incidence of abnormal laboratory test results
Time Frame: Through study completion, an estimation of 6 months
|
Through study completion, an estimation of 6 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Incidence of new-onset or reversible systolic left ventricular dysfunction
Time Frame: Through study completion, an estimation of 6 months
|
Left ventricle ejection fraction, Segmental left ventricle contractility, Speckle tracking data of the left and right ventricles, Dimensions of right and left cavities and Diastolic function of left ventricle
|
Through study completion, an estimation of 6 months
|
|
Changes of extravascular lung water measured by transpulmonary thermodilution
Time Frame: Change from baseline extravascular lung water at 6 months
|
The worst extravascular lung water
|
Change from baseline extravascular lung water at 6 months
|
|
Changes of pulmonary vascular permeability index measured by transpulmonary thermodilution
Time Frame: Change from baseline extravascular lung water at 6 months
|
The worst pulmonary vascular permeability index
|
Change from baseline extravascular lung water at 6 months
|
|
Correlation between the hemodynamic characteristics and 90-day mortality
Time Frame: Up to 90th day after inclusion
|
Up to 90th day after inclusion
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
General Publications
- Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24. Erratum In: Lancet. 2020 Jan 30;:
- Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, Si HR, Zhu Y, Li B, Huang CL, Chen HD, Chen J, Luo Y, Guo H, Jiang RD, Liu MQ, Chen Y, Shen XR, Wang X, Zheng XS, Zhao K, Chen QJ, Deng F, Liu LL, Yan B, Zhan FX, Wang YY, Xiao GF, Shi ZL. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020 Mar;579(7798):270-273. doi: 10.1038/s41586-020-2012-7. Epub 2020 Feb 3. Erratum In: Nature. 2020 Dec;588(7836):E6.
- Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020 Apr 7;323(13):1239-1242. doi: 10.1001/jama.2020.2648. No abstract available.
- 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. Erratum In: Lancet. 2020 Mar 28;395(10229):1038. Lancet. 2020 Mar 28;395(10229):1038.
- Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, Wang B, Xiang H, Cheng Z, Xiong Y, Zhao Y, Li Y, Wang X, Peng Z. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA. 2020 Mar 17;323(11):1061-1069. doi: 10.1001/jama.2020.1585. Erratum In: JAMA. 2021 Mar 16;325(11):1113.
- Yang X, Yu Y, Xu J, Shu H, Xia J, Liu H, Wu Y, Zhang L, Yu Z, Fang M, Yu T, Wang Y, Pan S, Zou X, Yuan S, Shang Y. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. 2020 May;8(5):475-481. doi: 10.1016/S2213-2600(20)30079-5. Epub 2020 Feb 24. Erratum In: Lancet Respir Med. 2020 Apr;8(4):e26.
- Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, Xia J, Yu T, Zhang X, Zhang L. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7. Epub 2020 Jan 30.
- Monnet X, Teboul JL. Transpulmonary thermodilution: advantages and limits. Crit Care. 2017 Jun 19;21(1):147. doi: 10.1186/s13054-017-1739-5.
- Driggin E, Madhavan MV, Bikdeli B, Chuich T, Laracy J, Biondi-Zoccai G, Brown TS, Der Nigoghossian C, Zidar DA, Haythe J, Brodie D, Beckman JA, Kirtane AJ, Stone GW, Krumholz HM, Parikh SA. Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic. J Am Coll Cardiol. 2020 May 12;75(18):2352-2371. doi: 10.1016/j.jacc.2020.03.031. Epub 2020 Mar 19.
- Ruan Q, Yang K, Wang W, Jiang L, Song J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive Care Med. 2020 May;46(5):846-848. doi: 10.1007/s00134-020-05991-x. Epub 2020 Mar 3. No abstract available. Erratum In: Intensive Care Med. 2020 Apr 6;:
- Schuster DP. The search for "objective" criteria of ARDS. Intensive Care Med. 2007 Mar;33(3):400-2. doi: 10.1007/s00134-006-0499-5. Epub 2007 Jan 13. No abstract available.
- Jozwiak M, Silva S, Persichini R, Anguel N, Osman D, Richard C, Teboul JL, Monnet X. Extravascular lung water is an independent prognostic factor in patients with acute respiratory distress syndrome. Crit Care Med. 2013 Feb;41(2):472-80. doi: 10.1097/CCM.0b013e31826ab377.
- Shi R, Lai C, Teboul JL, Dres M, Moretto F, De Vita N, Pham T, Bonny V, Mayaux J, Vaschetto R, Beurton A, Monnet X. COVID-19 ARDS is characterized by higher extravascular lung water than non-COVID-19 ARDS: the PiCCOVID study. Crit Care. 2021 Jun 1;25(1):186. doi: 10.1186/s13054-021-03594-6.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pathologic Processes
- Heart Diseases
- Cardiovascular Diseases
- Respiratory Tract Diseases
- Respiration Disorders
- Lung Diseases
- Infant, Newborn, Diseases
- Lung Injury
- Infant, Premature, Diseases
- Shock
- Respiratory Distress Syndrome
- Respiratory Distress Syndrome, Newborn
- Acute Lung Injury
- Ventricular Dysfunction
- Ventricular Dysfunction, Left
Other Study ID Numbers
Other Study ID Numbers
- 2020-A00793-36
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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