Performance of serum apolipoprotein-A1 as a sentinel of Covid-19

Thierry Poynard, Olivier Deckmyn, Marika Rudler, Valentina Peta, Yen Ngo, Mathieu Vautier, Sepideh Akhavan, Vincent Calvez, Clemence Franc, Jean Marie Castille, Fabienne Drane, Mehdi Sakka, Dominique Bonnefont-Rousselot, Jean Marc Lacorte, David Saadoun, Yves Allenbach, Olivier Benveniste, Frederique Gandjbakhch, Julien Mayaux, Olivier Lucidarme, Bruno Fautrel, Vlad Ratziu, Chantal Housset, Dominique Thabut, Patrice Cacoub, Thierry Poynard, Olivier Deckmyn, Marika Rudler, Valentina Peta, Yen Ngo, Mathieu Vautier, Sepideh Akhavan, Vincent Calvez, Clemence Franc, Jean Marie Castille, Fabienne Drane, Mehdi Sakka, Dominique Bonnefont-Rousselot, Jean Marc Lacorte, David Saadoun, Yves Allenbach, Olivier Benveniste, Frederique Gandjbakhch, Julien Mayaux, Olivier Lucidarme, Bruno Fautrel, Vlad Ratziu, Chantal Housset, Dominique Thabut, Patrice Cacoub

Abstract

Background: Since 1920, a decrease in serum cholesterol has been identified as a marker of severe pneumonia. We have assessed the performance of serum apolipoprotein-A1, the main transporter of HDL-cholesterol, to identify the early spread of coronavirus disease 2019 (Covid-19) in the general population and its diagnostic performance for the Covid-19.

Methods: We compared the daily mean serum apolipoprotein-A1 during the first 34 weeks of 2020 in a population that is routinely followed for a risk of liver fibrosis risk in the USA (212,297 serum) and in France (20,652 serum) in relation to a local increase in confirmed cases, and in comparison to the same period in 2019 (266,976 and 28,452 serum, respectively). We prospectively assessed the sensitivity of this marker in an observational study of 136 consecutive hospitalized cases and retrospectively evaluated its specificity in 7,481 controls representing the general population.

Results: The mean serum apolipoprotein-A1 levels in the survey populations began decreasing in January 2020, compared to the same period in 2019. This decrease was highly correlated with the daily increase in confirmed Covid-19 cases in the following 34 weeks, both in France and USA, including the June and mid-July recovery periods in France. Apolipoprotein-A1 at the 1.25 g/L cutoff had a sensitivity of 90.6% (95%CI84.2-95.1) and a specificity of 96.1% (95.7-96.6%) for the diagnosis of Covid-19. The area under the characteristics curve was 0.978 (0.957-0.988), and outperformed haptoglobin and liver function tests. The adjusted risk ratio of apolipoprotein-A1 for survival without transfer to intensive care unit was 5.61 (95%CI 1.02-31.0; P = 0.04).

Conclusion: Apolipoprotein-A1 could be a sentinel of the pandemic in existing routine surveillance of the general population. NCT01927133, CER-2020-14.

Conflict of interest statement

TP has several USPTO patents related to the performance of Apoa1 in patients with liver disease, including #10,198,552 Method of diagnosis of fibrotic diseases, #7,860,656 Diagnosis method of hepatic steatosis using biochemical markers, 7,856,319, Diagnosis method of alcoholic steato-hepatitis using biochemical markers, #7,225,080 Diagnosis method of inflammatory, fibrotic or cancerous disease using biochemical markers, and # 6,631,330 Diagnosis method of inflammatory, fibrotic or cancerous disease using biochemical markers, and applications pending: #20200011879 Method of diagnosis of drug induced liver injury, 20190265241 Method of diagnosis of non-alcoholic fatty liver diseases, #3 20140329260 Method of diagnosis of fibrotic diseases, and #20090111132 Diagnosis method of hepatic steatosis using biochemical markers. The data underlying the findings described in the manuscript are fully detailed including the confounding factors, without restriction, in the numerous supplementary files. The commercial affiliation does not alter our adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1. Quantitative decrease of apolipoprotein-A1 by…
Fig 1. Quantitative decrease of apolipoprotein-A1 by cohort.
Apolipoprotein-A1 decreased (P

Fig 2. Proportion of serum with low…

Fig 2. Proportion of serum with low apolipoprotein-A1 by cohorts.

Low apolipoprotein-A1 was defined as…

Fig 2. Proportion of serum with low apolipoprotein-A1 by cohorts.
Low apolipoprotein-A1 was defined as below 1.25 g/L. Details in Table 2.

Fig 3. Decrease of apolipoprotein-A1 by gender…

Fig 3. Decrease of apolipoprotein-A1 by gender and age in US cohort.

The same significant…

Fig 3. Decrease of apolipoprotein-A1 by gender and age in US cohort.
The same significant kinetics were observed, P

Fig 4. Absence of haptoglobin increase in…

Fig 4. Absence of haptoglobin increase in the first 34 weeks of 2020 in the…

Fig 4. Absence of haptoglobin increase in the first 34 weeks of 2020 in the US cohort.
Only the French cohorts at high risk of Covid-19 patients had a significant increase in haptoglobin.

Fig 5. Number of confirmed Covid-19 cases…

Fig 5. Number of confirmed Covid-19 cases per day and proportion of low (

Fig 5. Number of confirmed Covid-19 cases per day and proportion of low (
The red graph is the number of confirmed cases per day in logarithmic scale. The black line is the daily mean proportion of low apolipoprotein-A1 (

Fig 6. Apolipoprotein A1 median with IQR…

Fig 6. Apolipoprotein A1 median with IQR between the 6 populations.

CPAM: general population assessing…

Fig 6. Apolipoprotein A1 median with IQR between the 6 populations.
CPAM: general population assessing specificity of apolipoprotein-A1 in the sentinel context of use. Three populations were used for assessing higher risk of false positive: severe acute alcoholic hepatitis (ASH), drug induced liver disease (DILI), and rheumatologic disease (RHE). The blood donors population (BD) was at lower risk of false positive.

Fig 7. Haptoglobin median with IQR between…

Fig 7. Haptoglobin median with IQR between the 6 populations.

Fig 7. Haptoglobin median with IQR between the 6 populations.

Fig 8. Area under the ROC curves…

Fig 8. Area under the ROC curves (AUROC) of each FibroTest components.

Fig 8. Area under the ROC curves (AUROC) of each FibroTest components.

Fig 9. Survival without transfer to intensive…

Fig 9. Survival without transfer to intensive care unit (ICU).

The 71 patients with apolipoprotein-A1…

Fig 9. Survival without transfer to intensive care unit (ICU).
The 71 patients with apolipoprotein-A1 value > = 0.84 g/L, the median value at inclusion, had a significant higher survival without ICU (93.0%;87.0–98.9) than the 65 patients with lower value (75.8%;65.1–86.5; P = 0.02).

Fig 10. Serum apolipoprotein-A1 prospective 256 repeated…

Fig 10. Serum apolipoprotein-A1 prospective 256 repeated measurements in 104 patients with Covid-19, who survived…

Fig 10. Serum apolipoprotein-A1 prospective 256 repeated measurements in 104 patients with Covid-19, who survived without transfer to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated…

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated measurements in 16 patients with Covid-19, who were…

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated measurements in 16 patients with Covid-19, who were transferred to intensive care unit and survived.
The median interval between the four serum was 11 days (IQR 8–16). Significant differences between ranks P

Fig 12. Serum haptoglobin prospective 256 repeated…

Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived…

Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived without transfer to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant difference between ranks P

Fig 13. Serum haptoglobin 30 repeated measurements…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among those transferred to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P
All figures (13)
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References
Wynants L, Van Calster B, Collins G, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of Covid-19 infection: systematic review and critical appraisal. BMJ. 2020;369:m1328 10.1136/bmj.m1328 - DOI - PMC - PubMed Kipp HA. Variation in the cholesterol content of the serum in pneumonia. J Biol Chem. 1920; 44:215–237. Liu SH, Liang HY, Li HY, Ding XF, Sun TW, Wang J, et al. Effect of low high-density lipoprotein levels on mortality of septic patients: A systematic review and meta-analysis of cohort studies. World J Emerg Med. 2020;11(2):109–116. 10.5847/wjem.j.1920-8642.2020.02.008 - DOI - PMC - PubMed Delanghe JR, Langlois MR, Boelaert JR, Van Acker J, Van Wanzeele F, Van der Groen G, et al. Haptoglobin polymorphism, iron metabolism and mortality in HIV infection. AIDS. 1998; 12(9):1027–32. - PubMed Yang H, Wang H, Wang Y, Addorisio M, Li J, Postiglione MJ, et al. The haptoglobin beta subunit sequesters HMGB1 toxicity in sterile and infectious inflammation. J Intern Med. 2017;282(1):76–93. 10.1111/joim.12619 - DOI - PMC - PubMed
Show all 22 references
Publication types
Research Support, Non-U.S. Gov't
MeSH terms
Apolipoprotein A-I / blood*
Coronavirus Infections / blood*
Coronavirus Infections / epidemiology
Pneumonia, Viral / epidemiology
Associated data
ClinicalTrials.gov/NCT01927133
Related information MedGen
Grant support
EIT Health is funding short-term projects to help combat the COVID-19 pandemic as part of its Rapid Response initiative (https://eithealth.eu/covid-19/covid-19-rapid-response/). The present article is the first step of the PROCOP project, focusing on apolipoprotein-A1 performances, belong to the 15 projects selected cover biotechnology, diagnostics, digital health and med tech, and are run by 41 partners (https://eithealth.eu/project/procop/. The projects work directly with healthcare services as part of the consortia, so that the solutions can be built in line with clinical needs and implemented without delay. The EIT Health Partner of PROCOP is Assistance Publique Hôpitaux de Paris (APHP; (Leader of the project), a French Public Organization. The following authors are full employees of APHP: MR, MV, SA, VC, MS, DBR, JML, DS, YA, OB, FG, JM, OL, BF, VR, DT and PC. The EIT Health Partner is BioPredictive, a spinoff research company of APHP and Sorbonne University, founded by TP (APHP and Sorbonne University). All the patents invented by TP belong to APHP. The following authors are full employees of BioPredictive: OD, VP; and YN. The following authors contributed to Funding acquisition, and Project administration: JMC, FD, CF. The following authors contributed, to Resources, References review & editing (VP), and OD (Conceptualization; Data curation; Methodology; Software).
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Fig 2. Proportion of serum with low…
Fig 2. Proportion of serum with low apolipoprotein-A1 by cohorts.
Low apolipoprotein-A1 was defined as below 1.25 g/L. Details in Table 2.
Fig 3. Decrease of apolipoprotein-A1 by gender…
Fig 3. Decrease of apolipoprotein-A1 by gender and age in US cohort.
The same significant kinetics were observed, P

Fig 4. Absence of haptoglobin increase in…

Fig 4. Absence of haptoglobin increase in the first 34 weeks of 2020 in the…

Fig 4. Absence of haptoglobin increase in the first 34 weeks of 2020 in the US cohort.
Only the French cohorts at high risk of Covid-19 patients had a significant increase in haptoglobin.

Fig 5. Number of confirmed Covid-19 cases…

Fig 5. Number of confirmed Covid-19 cases per day and proportion of low (

Fig 5. Number of confirmed Covid-19 cases per day and proportion of low (
The red graph is the number of confirmed cases per day in logarithmic scale. The black line is the daily mean proportion of low apolipoprotein-A1 (

Fig 6. Apolipoprotein A1 median with IQR…

Fig 6. Apolipoprotein A1 median with IQR between the 6 populations.

CPAM: general population assessing…

Fig 6. Apolipoprotein A1 median with IQR between the 6 populations.
CPAM: general population assessing specificity of apolipoprotein-A1 in the sentinel context of use. Three populations were used for assessing higher risk of false positive: severe acute alcoholic hepatitis (ASH), drug induced liver disease (DILI), and rheumatologic disease (RHE). The blood donors population (BD) was at lower risk of false positive.

Fig 7. Haptoglobin median with IQR between…

Fig 7. Haptoglobin median with IQR between the 6 populations.

Fig 7. Haptoglobin median with IQR between the 6 populations.

Fig 8. Area under the ROC curves…

Fig 8. Area under the ROC curves (AUROC) of each FibroTest components.

Fig 8. Area under the ROC curves (AUROC) of each FibroTest components.

Fig 9. Survival without transfer to intensive…

Fig 9. Survival without transfer to intensive care unit (ICU).

The 71 patients with apolipoprotein-A1…

Fig 9. Survival without transfer to intensive care unit (ICU).
The 71 patients with apolipoprotein-A1 value > = 0.84 g/L, the median value at inclusion, had a significant higher survival without ICU (93.0%;87.0–98.9) than the 65 patients with lower value (75.8%;65.1–86.5; P = 0.02).

Fig 10. Serum apolipoprotein-A1 prospective 256 repeated…

Fig 10. Serum apolipoprotein-A1 prospective 256 repeated measurements in 104 patients with Covid-19, who survived…

Fig 10. Serum apolipoprotein-A1 prospective 256 repeated measurements in 104 patients with Covid-19, who survived without transfer to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated…

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated measurements in 16 patients with Covid-19, who were…

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated measurements in 16 patients with Covid-19, who were transferred to intensive care unit and survived.
The median interval between the four serum was 11 days (IQR 8–16). Significant differences between ranks P

Fig 12. Serum haptoglobin prospective 256 repeated…

Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived…

Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived without transfer to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant difference between ranks P

Fig 13. Serum haptoglobin 30 repeated measurements…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among those transferred to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P
All figures (13)
Similar articles
Lipoprotein concentrations over time in the intensive care unit COVID-19 patients: Results from the ApoCOVID study.
Tanaka S, De Tymowski C, Assadi M, Zappella N, Jean-Baptiste S, Robert T, Peoc'h K, Lortat-Jacob B, Fontaine L, Bouzid D, Tran-Dinh A, Tashk P, Meilhac O, Montravers P. Tanaka S, et al. PLoS One. 2020 Sep 24;15(9):e0239573. doi: 10.1371/journal.pone.0239573. eCollection 2020. PLoS One. 2020. PMID: 32970772 Free PMC article.
SARS-CoV-2 was already spreading in France in late December 2019.
Deslandes A, Berti V, Tandjaoui-Lambotte Y, Alloui C, Carbonnelle E, Zahar JR, Brichler S, Cohen Y. Deslandes A, et al. Int J Antimicrob Agents. 2020 Jun;55(6):106006. doi: 10.1016/j.ijantimicag.2020.106006. Epub 2020 May 3. Int J Antimicrob Agents. 2020. PMID: 32371096 Free PMC article.
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Yang M, Chen X, Xu Y. Yang M, et al. Med Sci Monit. 2020 Sep 11;26:e926393. doi: 10.12659/MSM.926393. Med Sci Monit. 2020. PMID: 32914767 Free PMC article.
C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early.
Tan C, Huang Y, Shi F, Tan K, Ma Q, Chen Y, Jiang X, Li X. Tan C, et al. J Med Virol. 2020 Jul;92(7):856-862. doi: 10.1002/jmv.25871. Epub 2020 Apr 25. J Med Virol. 2020. PMID: 32281668 Free PMC article.
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Cited by
Plasma Apolipoprotein Concentrations Are Highly Altered in Severe Intensive Care Unit COVID-19 Patients: Preliminary Results from the LIPICOR Cohort Study.
Begue F, Chemello K, Veeren B, Lortat-Jacob B, Tran-Dinh A, Zappella N, Snauwaert A, Robert T, Rondeau P, Lagrange-Xelot M, Montravers P, Couret D, Tanaka S, Meilhac O. Begue F, et al. Int J Mol Sci. 2023 Feb 27;24(5):4605. doi: 10.3390/ijms24054605. Int J Mol Sci. 2023. PMID: 36902035 Free PMC article.
Host biomarker-based quantitative rapid tests for detection and treatment monitoring of tuberculosis and COVID-19.
Pierneef L, van Hooij A, de Jong D, Tjon Kon Fat EM, van Meijgaarden KE, Petruccioli E, Vanini V, Roukens AHE, Goletti D, Corstjens PLAM, Joosten SA, Geluk A; BEAT-COVID study group. Pierneef L, et al. iScience. 2023 Jan 20;26(1):105873. doi: 10.1016/j.isci.2022.105873. Epub 2022 Dec 26. iScience. 2023. PMID: 36590898 Free PMC article.
Apolipoprotein-A-I for severe COVID-19-induced hyperinflammatory states: A prospective case study.
Faguer S, Del Bello A, Danet C, Renaudineau Y, Izopet J, Kamar N. Faguer S, et al. Front Pharmacol. 2022 Sep 26;13:936659. doi: 10.3389/fphar.2022.936659. eCollection 2022. Front Pharmacol. 2022. PMID: 36225555 Free PMC article.
Predictors of COVID-19 severity among pregnant patients.
Januszewski M, Ziuzia-Januszewska L, Jakimiuk AA, Oleksik T, Pokulniewicz M, Wierzba W, Kozlowski K, Jakimiuk AJ. Januszewski M, et al. Bosn J Basic Med Sci. 2022 Oct 23;22(6):1005-1015. doi: 10.17305/bjbms.2022.7181. Bosn J Basic Med Sci. 2022. PMID: 35678023 Free PMC article.
Clinical Interest of Serum Alpha-2 Macroglobulin, Apolipoprotein A1, and Haptoglobin in Patients with Non-Alcoholic Fatty Liver Disease, with and without Type 2 Diabetes, before or during COVID-19.
Deckmyn O, Poynard T, Bedossa P, Paradis V, Peta V, Pais R, Ratziu V, Thabut D, Brzustowski A, Gautier JF, Cacoub P, Valla D. Deckmyn O, et al. Biomedicines. 2022 Mar 17;10(3):699. doi: 10.3390/biomedicines10030699. Biomedicines. 2022. PMID: 35327501 Free PMC article.
References
Wynants L, Van Calster B, Collins G, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of Covid-19 infection: systematic review and critical appraisal. BMJ. 2020;369:m1328 10.1136/bmj.m1328 - DOI - PMC - PubMed Kipp HA. Variation in the cholesterol content of the serum in pneumonia. J Biol Chem. 1920; 44:215–237. Liu SH, Liang HY, Li HY, Ding XF, Sun TW, Wang J, et al. Effect of low high-density lipoprotein levels on mortality of septic patients: A systematic review and meta-analysis of cohort studies. World J Emerg Med. 2020;11(2):109–116. 10.5847/wjem.j.1920-8642.2020.02.008 - DOI - PMC - PubMed Delanghe JR, Langlois MR, Boelaert JR, Van Acker J, Van Wanzeele F, Van der Groen G, et al. Haptoglobin polymorphism, iron metabolism and mortality in HIV infection. AIDS. 1998; 12(9):1027–32. - PubMed Yang H, Wang H, Wang Y, Addorisio M, Li J, Postiglione MJ, et al. The haptoglobin beta subunit sequesters HMGB1 toxicity in sterile and infectious inflammation. J Intern Med. 2017;282(1):76–93. 10.1111/joim.12619 - DOI - PMC - PubMed
Show all 22 references
Publication types
Research Support, Non-U.S. Gov't
MeSH terms
Apolipoprotein A-I / blood*
Coronavirus Infections / blood*
Coronavirus Infections / epidemiology
Pneumonia, Viral / epidemiology
Associated data
ClinicalTrials.gov/NCT01927133
Related information MedGen
Grant support
EIT Health is funding short-term projects to help combat the COVID-19 pandemic as part of its Rapid Response initiative (https://eithealth.eu/covid-19/covid-19-rapid-response/). The present article is the first step of the PROCOP project, focusing on apolipoprotein-A1 performances, belong to the 15 projects selected cover biotechnology, diagnostics, digital health and med tech, and are run by 41 partners (https://eithealth.eu/project/procop/. The projects work directly with healthcare services as part of the consortia, so that the solutions can be built in line with clinical needs and implemented without delay. The EIT Health Partner of PROCOP is Assistance Publique Hôpitaux de Paris (APHP; (Leader of the project), a French Public Organization. The following authors are full employees of APHP: MR, MV, SA, VC, MS, DBR, JML, DS, YA, OB, FG, JM, OL, BF, VR, DT and PC. The EIT Health Partner is BioPredictive, a spinoff research company of APHP and Sorbonne University, founded by TP (APHP and Sorbonne University). All the patents invented by TP belong to APHP. The following authors are full employees of BioPredictive: OD, VP; and YN. The following authors contributed to Funding acquisition, and Project administration: JMC, FD, CF. The following authors contributed, to Resources, References review & editing (VP), and OD (Conceptualization; Data curation; Methodology; Software).
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM

NCBI Literature Resources

MeSH PMC Bookshelf Disclaimer

The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.

Follow NCBI
Fig 4. Absence of haptoglobin increase in…
Fig 4. Absence of haptoglobin increase in the first 34 weeks of 2020 in the US cohort.
Only the French cohorts at high risk of Covid-19 patients had a significant increase in haptoglobin.
Fig 5. Number of confirmed Covid-19 cases…
Fig 5. Number of confirmed Covid-19 cases per day and proportion of low (
The red graph is the number of confirmed cases per day in logarithmic scale. The black line is the daily mean proportion of low apolipoprotein-A1 (

Fig 6. Apolipoprotein A1 median with IQR…

Fig 6. Apolipoprotein A1 median with IQR between the 6 populations.

CPAM: general population assessing…

Fig 6. Apolipoprotein A1 median with IQR between the 6 populations.
CPAM: general population assessing specificity of apolipoprotein-A1 in the sentinel context of use. Three populations were used for assessing higher risk of false positive: severe acute alcoholic hepatitis (ASH), drug induced liver disease (DILI), and rheumatologic disease (RHE). The blood donors population (BD) was at lower risk of false positive.

Fig 7. Haptoglobin median with IQR between…

Fig 7. Haptoglobin median with IQR between the 6 populations.

Fig 7. Haptoglobin median with IQR between the 6 populations.

Fig 8. Area under the ROC curves…

Fig 8. Area under the ROC curves (AUROC) of each FibroTest components.

Fig 8. Area under the ROC curves (AUROC) of each FibroTest components.

Fig 9. Survival without transfer to intensive…

Fig 9. Survival without transfer to intensive care unit (ICU).

The 71 patients with apolipoprotein-A1…

Fig 9. Survival without transfer to intensive care unit (ICU).
The 71 patients with apolipoprotein-A1 value > = 0.84 g/L, the median value at inclusion, had a significant higher survival without ICU (93.0%;87.0–98.9) than the 65 patients with lower value (75.8%;65.1–86.5; P = 0.02).

Fig 10. Serum apolipoprotein-A1 prospective 256 repeated…

Fig 10. Serum apolipoprotein-A1 prospective 256 repeated measurements in 104 patients with Covid-19, who survived…

Fig 10. Serum apolipoprotein-A1 prospective 256 repeated measurements in 104 patients with Covid-19, who survived without transfer to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated…

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated measurements in 16 patients with Covid-19, who were…

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated measurements in 16 patients with Covid-19, who were transferred to intensive care unit and survived.
The median interval between the four serum was 11 days (IQR 8–16). Significant differences between ranks P

Fig 12. Serum haptoglobin prospective 256 repeated…

Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived…

Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived without transfer to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant difference between ranks P

Fig 13. Serum haptoglobin 30 repeated measurements…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among those transferred to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P
All figures (13)
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References
Wynants L, Van Calster B, Collins G, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of Covid-19 infection: systematic review and critical appraisal. BMJ. 2020;369:m1328 10.1136/bmj.m1328 - DOI - PMC - PubMed Kipp HA. Variation in the cholesterol content of the serum in pneumonia. J Biol Chem. 1920; 44:215–237. Liu SH, Liang HY, Li HY, Ding XF, Sun TW, Wang J, et al. Effect of low high-density lipoprotein levels on mortality of septic patients: A systematic review and meta-analysis of cohort studies. World J Emerg Med. 2020;11(2):109–116. 10.5847/wjem.j.1920-8642.2020.02.008 - DOI - PMC - PubMed Delanghe JR, Langlois MR, Boelaert JR, Van Acker J, Van Wanzeele F, Van der Groen G, et al. Haptoglobin polymorphism, iron metabolism and mortality in HIV infection. AIDS. 1998; 12(9):1027–32. - PubMed Yang H, Wang H, Wang Y, Addorisio M, Li J, Postiglione MJ, et al. The haptoglobin beta subunit sequesters HMGB1 toxicity in sterile and infectious inflammation. J Intern Med. 2017;282(1):76–93. 10.1111/joim.12619 - DOI - PMC - PubMed
Show all 22 references
Publication types
Research Support, Non-U.S. Gov't
MeSH terms
Apolipoprotein A-I / blood*
Coronavirus Infections / blood*
Coronavirus Infections / epidemiology
Pneumonia, Viral / epidemiology
Associated data
ClinicalTrials.gov/NCT01927133
Related information MedGen
Grant support
EIT Health is funding short-term projects to help combat the COVID-19 pandemic as part of its Rapid Response initiative (https://eithealth.eu/covid-19/covid-19-rapid-response/). The present article is the first step of the PROCOP project, focusing on apolipoprotein-A1 performances, belong to the 15 projects selected cover biotechnology, diagnostics, digital health and med tech, and are run by 41 partners (https://eithealth.eu/project/procop/. The projects work directly with healthcare services as part of the consortia, so that the solutions can be built in line with clinical needs and implemented without delay. The EIT Health Partner of PROCOP is Assistance Publique Hôpitaux de Paris (APHP; (Leader of the project), a French Public Organization. The following authors are full employees of APHP: MR, MV, SA, VC, MS, DBR, JML, DS, YA, OB, FG, JM, OL, BF, VR, DT and PC. The EIT Health Partner is BioPredictive, a spinoff research company of APHP and Sorbonne University, founded by TP (APHP and Sorbonne University). All the patents invented by TP belong to APHP. The following authors are full employees of BioPredictive: OD, VP; and YN. The following authors contributed to Funding acquisition, and Project administration: JMC, FD, CF. The following authors contributed, to Resources, References review & editing (VP), and OD (Conceptualization; Data curation; Methodology; Software).
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Fig 6. Apolipoprotein A1 median with IQR…
Fig 6. Apolipoprotein A1 median with IQR between the 6 populations.
CPAM: general population assessing specificity of apolipoprotein-A1 in the sentinel context of use. Three populations were used for assessing higher risk of false positive: severe acute alcoholic hepatitis (ASH), drug induced liver disease (DILI), and rheumatologic disease (RHE). The blood donors population (BD) was at lower risk of false positive.
Fig 7. Haptoglobin median with IQR between…
Fig 7. Haptoglobin median with IQR between the 6 populations.
Fig 8. Area under the ROC curves…
Fig 8. Area under the ROC curves (AUROC) of each FibroTest components.
Fig 9. Survival without transfer to intensive…
Fig 9. Survival without transfer to intensive care unit (ICU).
The 71 patients with apolipoprotein-A1 value > = 0.84 g/L, the median value at inclusion, had a significant higher survival without ICU (93.0%;87.0–98.9) than the 65 patients with lower value (75.8%;65.1–86.5; P = 0.02).
Fig 10. Serum apolipoprotein-A1 prospective 256 repeated…
Fig 10. Serum apolipoprotein-A1 prospective 256 repeated measurements in 104 patients with Covid-19, who survived without transfer to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated…

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated measurements in 16 patients with Covid-19, who were…

Fig 11. Serum apolipoprotein-A1 prospective 30 repeated measurements in 16 patients with Covid-19, who were transferred to intensive care unit and survived.
The median interval between the four serum was 11 days (IQR 8–16). Significant differences between ranks P

Fig 12. Serum haptoglobin prospective 256 repeated…

Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived…

Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived without transfer to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant difference between ranks P

Fig 13. Serum haptoglobin 30 repeated measurements…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among those transferred to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P
All figures (13)
Similar articles
Cited by
References
    1. Wynants L, Van Calster B, Collins G, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of Covid-19 infection: systematic review and critical appraisal. BMJ. 2020;369:m1328 10.1136/bmj.m1328 - DOI - PMC - PubMed
    1. Kipp HA. Variation in the cholesterol content of the serum in pneumonia. J Biol Chem. 1920; 44:215–237.
    1. Liu SH, Liang HY, Li HY, Ding XF, Sun TW, Wang J, et al. Effect of low high-density lipoprotein levels on mortality of septic patients: A systematic review and meta-analysis of cohort studies. World J Emerg Med. 2020;11(2):109–116. 10.5847/wjem.j.1920-8642.2020.02.008 - DOI - PMC - PubMed
    1. Delanghe JR, Langlois MR, Boelaert JR, Van Acker J, Van Wanzeele F, Van der Groen G, et al. Haptoglobin polymorphism, iron metabolism and mortality in HIV infection. AIDS. 1998; 12(9):1027–32. - PubMed
    1. Yang H, Wang H, Wang Y, Addorisio M, Li J, Postiglione MJ, et al. The haptoglobin beta subunit sequesters HMGB1 toxicity in sterile and infectious inflammation. J Intern Med. 2017;282(1):76–93. 10.1111/joim.12619 - DOI - PMC - PubMed
Show all 22 references
Publication types
MeSH terms
Associated data
Related information
Grant support
EIT Health is funding short-term projects to help combat the COVID-19 pandemic as part of its Rapid Response initiative (https://eithealth.eu/covid-19/covid-19-rapid-response/). The present article is the first step of the PROCOP project, focusing on apolipoprotein-A1 performances, belong to the 15 projects selected cover biotechnology, diagnostics, digital health and med tech, and are run by 41 partners (https://eithealth.eu/project/procop/. The projects work directly with healthcare services as part of the consortia, so that the solutions can be built in line with clinical needs and implemented without delay. The EIT Health Partner of PROCOP is Assistance Publique Hôpitaux de Paris (APHP; (Leader of the project), a French Public Organization. The following authors are full employees of APHP: MR, MV, SA, VC, MS, DBR, JML, DS, YA, OB, FG, JM, OL, BF, VR, DT and PC. The EIT Health Partner is BioPredictive, a spinoff research company of APHP and Sorbonne University, founded by TP (APHP and Sorbonne University). All the patents invented by TP belong to APHP. The following authors are full employees of BioPredictive: OD, VP; and YN. The following authors contributed to Funding acquisition, and Project administration: JMC, FD, CF. The following authors contributed, to Resources, References review & editing (VP), and OD (Conceptualization; Data curation; Methodology; Software).
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The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.

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Fig 11. Serum apolipoprotein-A1 prospective 30 repeated…
Fig 11. Serum apolipoprotein-A1 prospective 30 repeated measurements in 16 patients with Covid-19, who were transferred to intensive care unit and survived.
The median interval between the four serum was 11 days (IQR 8–16). Significant differences between ranks P

Fig 12. Serum haptoglobin prospective 256 repeated…

Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived…

Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived without transfer to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant difference between ranks P

Fig 13. Serum haptoglobin 30 repeated measurements…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among those transferred to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P
All figures (13)
Similar articles
Cited by
References
    1. Wynants L, Van Calster B, Collins G, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of Covid-19 infection: systematic review and critical appraisal. BMJ. 2020;369:m1328 10.1136/bmj.m1328 - DOI - PMC - PubMed
    1. Kipp HA. Variation in the cholesterol content of the serum in pneumonia. J Biol Chem. 1920; 44:215–237.
    1. Liu SH, Liang HY, Li HY, Ding XF, Sun TW, Wang J, et al. Effect of low high-density lipoprotein levels on mortality of septic patients: A systematic review and meta-analysis of cohort studies. World J Emerg Med. 2020;11(2):109–116. 10.5847/wjem.j.1920-8642.2020.02.008 - DOI - PMC - PubMed
    1. Delanghe JR, Langlois MR, Boelaert JR, Van Acker J, Van Wanzeele F, Van der Groen G, et al. Haptoglobin polymorphism, iron metabolism and mortality in HIV infection. AIDS. 1998; 12(9):1027–32. - PubMed
    1. Yang H, Wang H, Wang Y, Addorisio M, Li J, Postiglione MJ, et al. The haptoglobin beta subunit sequesters HMGB1 toxicity in sterile and infectious inflammation. J Intern Med. 2017;282(1):76–93. 10.1111/joim.12619 - DOI - PMC - PubMed
Show all 22 references
Publication types
MeSH terms
Associated data
Related information
Grant support
EIT Health is funding short-term projects to help combat the COVID-19 pandemic as part of its Rapid Response initiative (https://eithealth.eu/covid-19/covid-19-rapid-response/). The present article is the first step of the PROCOP project, focusing on apolipoprotein-A1 performances, belong to the 15 projects selected cover biotechnology, diagnostics, digital health and med tech, and are run by 41 partners (https://eithealth.eu/project/procop/. The projects work directly with healthcare services as part of the consortia, so that the solutions can be built in line with clinical needs and implemented without delay. The EIT Health Partner of PROCOP is Assistance Publique Hôpitaux de Paris (APHP; (Leader of the project), a French Public Organization. The following authors are full employees of APHP: MR, MV, SA, VC, MS, DBR, JML, DS, YA, OB, FG, JM, OL, BF, VR, DT and PC. The EIT Health Partner is BioPredictive, a spinoff research company of APHP and Sorbonne University, founded by TP (APHP and Sorbonne University). All the patents invented by TP belong to APHP. The following authors are full employees of BioPredictive: OD, VP; and YN. The following authors contributed to Funding acquisition, and Project administration: JMC, FD, CF. The following authors contributed, to Resources, References review & editing (VP), and OD (Conceptualization; Data curation; Methodology; Software).
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM

NCBI Literature Resources

MeSH PMC Bookshelf Disclaimer

The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.

Follow NCBI
Fig 12. Serum haptoglobin prospective 256 repeated…
Fig 12. Serum haptoglobin prospective 256 repeated measurements in 104 patients with Covid-19, who survived without transfer to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant difference between ranks P

Fig 13. Serum haptoglobin 30 repeated measurements…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among…

Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among those transferred to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P
All figures (13)
Similar articles
Cited by
References
    1. Wynants L, Van Calster B, Collins G, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of Covid-19 infection: systematic review and critical appraisal. BMJ. 2020;369:m1328 10.1136/bmj.m1328 - DOI - PMC - PubMed
    1. Kipp HA. Variation in the cholesterol content of the serum in pneumonia. J Biol Chem. 1920; 44:215–237.
    1. Liu SH, Liang HY, Li HY, Ding XF, Sun TW, Wang J, et al. Effect of low high-density lipoprotein levels on mortality of septic patients: A systematic review and meta-analysis of cohort studies. World J Emerg Med. 2020;11(2):109–116. 10.5847/wjem.j.1920-8642.2020.02.008 - DOI - PMC - PubMed
    1. Delanghe JR, Langlois MR, Boelaert JR, Van Acker J, Van Wanzeele F, Van der Groen G, et al. Haptoglobin polymorphism, iron metabolism and mortality in HIV infection. AIDS. 1998; 12(9):1027–32. - PubMed
    1. Yang H, Wang H, Wang Y, Addorisio M, Li J, Postiglione MJ, et al. The haptoglobin beta subunit sequesters HMGB1 toxicity in sterile and infectious inflammation. J Intern Med. 2017;282(1):76–93. 10.1111/joim.12619 - DOI - PMC - PubMed
Show all 22 references
Publication types
MeSH terms
Associated data
Related information
Grant support
EIT Health is funding short-term projects to help combat the COVID-19 pandemic as part of its Rapid Response initiative (https://eithealth.eu/covid-19/covid-19-rapid-response/). The present article is the first step of the PROCOP project, focusing on apolipoprotein-A1 performances, belong to the 15 projects selected cover biotechnology, diagnostics, digital health and med tech, and are run by 41 partners (https://eithealth.eu/project/procop/. The projects work directly with healthcare services as part of the consortia, so that the solutions can be built in line with clinical needs and implemented without delay. The EIT Health Partner of PROCOP is Assistance Publique Hôpitaux de Paris (APHP; (Leader of the project), a French Public Organization. The following authors are full employees of APHP: MR, MV, SA, VC, MS, DBR, JML, DS, YA, OB, FG, JM, OL, BF, VR, DT and PC. The EIT Health Partner is BioPredictive, a spinoff research company of APHP and Sorbonne University, founded by TP (APHP and Sorbonne University). All the patents invented by TP belong to APHP. The following authors are full employees of BioPredictive: OD, VP; and YN. The following authors contributed to Funding acquisition, and Project administration: JMC, FD, CF. The following authors contributed, to Resources, References review & editing (VP), and OD (Conceptualization; Data curation; Methodology; Software).
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM
Fig 13. Serum haptoglobin 30 repeated measurements…
Fig 13. Serum haptoglobin 30 repeated measurements in 16 patients with Covid-19, who survived among those transferred to intensive care unit.
The median range interval between the first and the last serum was 11 days (IQR 8–16). Significant differences between ranks P
All figures (13)

References

    1. Wynants L, Van Calster B, Collins G, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of Covid-19 infection: systematic review and critical appraisal. BMJ. 2020;369:m1328 10.1136/bmj.m1328
    1. Kipp HA. Variation in the cholesterol content of the serum in pneumonia. J Biol Chem. 1920; 44:215–237.
    1. Liu SH, Liang HY, Li HY, Ding XF, Sun TW, Wang J, et al. Effect of low high-density lipoprotein levels on mortality of septic patients: A systematic review and meta-analysis of cohort studies. World J Emerg Med. 2020;11(2):109–116. 10.5847/wjem.j.1920-8642.2020.02.008
    1. Delanghe JR, Langlois MR, Boelaert JR, Van Acker J, Van Wanzeele F, Van der Groen G, et al. Haptoglobin polymorphism, iron metabolism and mortality in HIV infection. AIDS. 1998; 12(9):1027–32.
    1. Yang H, Wang H, Wang Y, Addorisio M, Li J, Postiglione MJ, et al. The haptoglobin beta subunit sequesters HMGB1 toxicity in sterile and infectious inflammation. J Intern Med. 2017;282(1):76–93. 10.1111/joim.12619
    1. Wei X, Zeng W, Su J, Wan H, Yu X, Cao X, et al. Hypolipidemia is associated with the severity of COVID-19. J Clin Lipidol. 2020;14(3):297–304. 10.1016/j.jacl.2020.04.008
    1. Cao X, Yin R, Albrecht H, Fan D, Tan W. Cholesterol: A new game player accelerating endothelial injuries caused by SARS-CoV-2? Am J Physiol Endocrinol Metab. 2020;319(1):E197–E202. 10.1152/ajpendo.00255.2020
    1. Lamers MM, Beumer J, van der Vaart J, Knoops K, Puschhof J, Breugem TI, et al. SARS-CoV-2 productively infects human gut enterocytes. Science. 2020;369(6499):50–54. 10.1126/science.abc1669
    1. Ding S, Liang TJ. Is SARS-CoV-2 Also an enteric pathogen with potential fecal-oral Transmission? A COVID-19 virological and clinical review. Gastroenterology. 2020;159(1):53–61. 10.1053/j.gastro.2020.04.052
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