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. 2021 Nov 25;76(3):744–747. doi: 10.1016/j.jhep.2021.11.020

Reply to: “Focus on the decisions to forego life-sustaining therapies during ICU stay of patients with cirrhosis and COVID-19: A case control study from the prospective COVID-ICU database”

François Depret 1,2,3,4, Samir Bouam 5, Michaël Schwarzinger 6,7, Vincent Mallet 1,8,; the Demosthenes research group
PMCID: PMC8612752  PMID: 34838613

To the Editor:

We thank Doctor Giabicani and colleagues for their comments 1 on our article published in the Journal of Hepatology.2 Their investigations from a prospective, multicenter, international, cohort of more than 4,000 intensive care unit (ICU) patients with COVID-19 3 confirm our results at the national level: despite similar COVID-19 severity, including initial non-hepatic organ failure, bacterial infections and thromboembolic complications, a decision to forego life-sustaining therapies was more frequently made for patients admitted to the ICU with cirrhosis. As both studies suggest the presence of selection (prescription of invasive mechanical ventilation or decision to forego life-sustaining therapies), we further investigated the profile of patients who received invasive mechanical ventilation vs. those who died without ventilation from the latest release of the French National Hospital Discharge (PMSI) database.

Between February 1, 2020 and August 31, 2021, 567,491 patients were discharged with a primary or an associate discharge diagnosis code for COVID-19 (ICD-10 codes: U0710, U0711, U0712, U0714, U0715), COVID-19 sequelae (ICD-10 codes: U089, U099), or COVID-19 inflammatory heart diseases (ICD-10 code: U109). Of them, 41,078 patients recorded with COVID-19 sequelae without prior admission for COVID-19 and 11,656 patients younger than 18 years were removed from the analysis. The final sample comprised 514,602 patients who were first admitted at hospital during the first (26.8%), second (45.8%), and third (27.4%) waves of the SARS-CoV-2 pandemic in France (before October 1, 2020, from October 1, 2020 to March 15, 2021, and after May 31, 2021, respectively). Their characteristics are detailed in Table 1 and were similar to those reported previously.2 The median (interquartile range) age at first hospital admission was 69 (54, 83) and 51.8% of the cohort were male. Hypertension was the most prevalent recorded risk factor (51.6%), followed by obesity (26.4%), diabetes mellitus (26.3%), smoking (10.3%), and alcohol use disorders (6.1%). More than half (62.4%) of patients had at least 1 major comorbidity. Similar associations were found, including less invasive mechanical ventilation for patients with cerebrovascular disease, dementia, and connective tissue disorders; and lower 30-day mortality for female patients, aged ≤70 years, with obesity, and with AIDS.2

Table 1.

Characteristics of 2020-2021 French COVID-19 patients by invasive mechanical ventilation and 30-day mortality.

Characteristic Overall, N = 514,6021 Invasive mechanical ventilation
p value2 30-day mortality
p value2
No, n = 475,908 (92%)1 Yes, n = 38,694 (7.5%)1 No, n= 432,259 (84%)1 Yes, n = 82,343 (16%)1
Age 69 (54, 83) 70 (53, 83) 67 (58, 74) <0.001 66 (51, 79) 83 (74, 89) <0.001
Age category <0.001 <0.001
 [18,30) 24,153 (4.7%) 23,703 (5.0%) 450 (1.2%) 24,066 (5.6%) 87 (0.1%)
 [30,40) 33,613 (6.5%) 32,490 (6.8%) 1,123 (2.9%) 33,334 (7.7%) 279 (0.3%)
 [40,50) 45,223 (8.8%) 42,499 (8.9%) 2,724 (7.0%) 44,399 (10.3%) 824 (1.0%)
 [50,60) 69,508 (13.5%) 62,859 (13.2%) 6,649 (17.2%) 66,644 (15.4%) 2,864 (3.5%)
 [60,70) 86,183 (16.7%) 74,263 (15.6%) 11,920 (30.8%) 77,441 (17.9%) 8,742 (10.6%)
 [70,80) 97,244 (18.9%) 84,891 (17.8%) 12,353 (31.9%) 78,995 (18.3%) 18,249 (22.2%)
 [80,Inf) 158,678 (30.8%) 155,203 (32.6%) 3,475 (9%) 107,380 (24.8%) 51,298 (62.3%)
Sex <0.001 <0.001
 Female 247,990 (48.2%) 235,730 (49.5%) 12,260 (31.7%) 212,990 (49.3%) 35,000 (42.5%)
 Male 266,611 (51.8%) 240,178 (50.5%) 26,433 (68.3%) 219,268 (50.7%) 47,343 (57.5%)
Hypertension 265,713 (51.6%) 242,243 (50.9%) 23,470 (60.7%) <0.001 205,731 (47.6%) 59,982 (72.8%) <0.001
Obesity 135,765 (26.4%) 118,934 (25%) 16,831 (43.5%) <0.001 114,209 (26.4%) 21,556 (26.2%) 0.15
Diabetes mellitus 135,551 (26.3%) 121,371 (25.5%) 14,180 (36.6%) <0.001 107,124 (24.8%) 28,427 (34.5%) <0.001
Past or current smoking 53,242 (10.3%) 47,514 (10%) 5,728 (14.8%) <0.001 43,884 (10.2%) 9,358 (11.4%) <0.001
Alcohol use disorders 31,379 (6.1%) 28,342 (6%) 3,037 (7.8%) <0.001 25,001 (5.8%) 6,378 (7.7%) <0.001
Congestive heart failure 98,851 (19.2%) 91,574 (19.2%) 7,277 (18.8%) 0.037 67,979 (15.7%) 30,872 (37.5%) <0.001
Chronic obstructive pulmonary disease 83,608 (16.2%) 75,767 (15.9%) 7,841 (20.3%) <0.001 65,574 (15.2%) 18,034 (21.9%) <0.001
Solid or liquid cancer 83,199 (16.2%) 76,930 (16.2%) 6,269 (16.2%) 0.9 61,347 (14.2%) 21,852 (26.5%) <0.001
Moderate to severe chronic kidney disease 60,861 (11.8%) 55,952 (11.8%) 4,909 (12.7%) <0.001 42,683 (9.9%) 18,178 (22.1%) <0.001
Dementia 59,488 (11.6%) 58,714 (12.3%) 774 (2%) <0.001 41,225 (9.5%) 18,263 (22.2%) <0.001
Peripheral vascular disease 58,498 (11.4%) 53,503 (11.2%) 4,995 (12.9%) <0.001 42,326 (9.8%) 16,172 (19.6%) <0.001
Diabetes mellitus with complications 51,406 (10%) 46,094 (9.7%) 5,312 (13.7%) <0.001 38,556 (8.9%) 12,850 (15.6%) <0.001
Neurovascular disease 40,713 (7.9%) 37,596 (7.9%) 3,117 (8.1%) 0.3 30,138 (7%) 10,575 (12.8%) <0.001
Cirrhosis 34,039 (6.6%) 29,769 (6.3%) 4,270 (11%) <0.001 25,254 (5.8%) 8,785 (10.7%) <0.001
Myocardial infarction 32,039 (6.2%) 29,257 (6.1%) 2,782 (7.2%) <0.001 23,019 (5.3%) 9,020 (11%) <0.001
Peptic ulcer disease 13,403 (2.6%) 12,149 (2.6%) 1,254 (3.2%) <0.001 10,128 (2.3%) 3,275 (4%) <0.001
Connective tissue disorder 12,077 (2.3%) 11,143 (2.3%) 934 (2.4%) 0.4 9,398 (2.2%) 2,679 (3.3%) <0.001
Transplant recipient 6,156 (1.2%) 5,176 (1.1%) 980 (2.5%) <0.001 5,076 (1.2%) 1,080 (1.3%) <0.001
AIDS 2,959 (0.6%) 2,662 (0.6%) 297 (0.8%) <0.001 2,685 (0.6%) 274 (0.3%) <0.001
Acute respiratory distress syndrome 147,293 (28.6%) 112,352 (23.6%) 34,941 (90.3%) <0.001 95,767 (22.2%) 51,526 (62.6%) <0.001
Acute kidney injury 28,585 (5.6%) 17,428 (3.7%) 11,157 (28.8%) <0.001 15,525 (3.6%) 13,060 (15.9%) <0.001
Acute liver failure 2,813 (0.5%) 1,661 (0.3%) 1,152 (3%) <0.001 1,552 (0.4%) 1,261 (1.5%) <0.001
Cholangitis 4,829 (0.9%) 4,107 (0.9%) 722 (1.9%) <0.001 3,809 (0.9%) 1,020 (1.2%) <0.001
Portal vein thrombosis 359 (0.1%) 290 (0.1%) 69 (0.2%) <0.001 226 (0.1%) 133 (0.2%) <0.001
Pulmonary embolism 18,813 (3.7%) 15,412 (3.2%) 3,401 (8.8%) <0.001 15,305 (3.5%) 3,508 (4.3%) <0.001
Pandemic wave <0.001 <0.001
 First 137,961 (26.8%) 126,478 (26.6%) 11,483 (29.7%) 116,501 (27%) 21,460 (26.1%)
 Second 235,585 (45.8%) 219,214 (46.1%) 16,371 (42.3%) 191,955 (44.4%) 43,630 (53%)
 Third 141,056 (27.4%) 130,216 (27.4%) 10,840 (28%) 123,803 (28.6%) 17,253 (21%)

Data are for COVID-19 patients who were discharged between February 1, 2020 and August 31, 2021 in France. The 2011-2020 French National Hospital Discharge (PMSI) database was used to identify underlying conditions before COVID-19. Dates to define first, second, and third pandemic waves were October 1, 2020, March 15, 2021, and May 31, 2021. AIDS, acquired immune deficiency syndrome.

1

Median (IQR); n (%).

2

Wilcoxon rank sum test; Pearson's Chi-squared test.

Table 2 presents the factors associated with invasive mechanical ventilation (7.5%) and with 30-day mortality without invasive mechanical ventilation (16.0%) from a multivariate multinomial regression. Assumingly, prognostic factors positively associated with 30-day mortality without invasive mechanical ventilation indicate higher need for advanced ventilation and should thus be positively associated with invasive mechanical ventilation. For instance, the adjusted odds ratios for 30-day mortality without invasive mechanical ventilation almost doubled by age decade indicating higher need for invasive mechanical ventilation with age. However, age was associated with invasive mechanical ventilation in an inverted U-shape, suggesting that invasive mechanical ventilation resources were preferably allocated to COVID-19 patients younger than 80 years old. Similarly, COVID-19 patients first admitted during the second pandemic wave (vs. third wave), patients with alcohol use disorders or patients with a modified (without age) Charlson comorbidity index ≥3 were at higher need for invasive mechanical ventilation (adjusted odds-ratio of 30-day mortality without invasive mechanical ventilation significantly above 1), although they had less chance of receiving invasive mechanical ventilation (adjusted odds-ratio of 30-day mortality without ventilation significantly below 1), all other things being equal. On the contrary, patients with hypertension, obesity, or diabetes mellitus were at lower risk of dying without invasive mechanical ventilation (adjusted odds-ratio of 30-day mortality without ventilation significantly below 1), but had a higher chance of receiving invasive mechanical ventilation (adjusted odds-ratio of invasive mechanical ventilation significantly above 1), all other things being equal. Our results support the idea that, in France, COVID-19 resources have been preferentially allocated to younger patients with obesity, hypertension, or diabetes mellitus, and not to patients with severe comorbidities and those with alcohol use disorders.

Table 2.

Multivariate risks for invasive mechanical ventilation and 30-day mortality without ventilation.

Characteristics1 Invasive mechanical ventilation p value3 30-day mortality without invasive mechanical ventilation p value3
Age category2
 [30,40) 1.62 (1.45–1.81) <0.001 2.16 (1.54–3.04) <0.001
 [40,50) 2.63 (2.38–2.92) <0.001 4.7 (3.44–6.42) <0.001
 [50,60) 4.06 (3.68–4.48) <0.001 10.91 (8.08–14.73) <0.001
 [60,70) 5.97 (5.42–6.58) <0.001 27.87 (20.70–37.53) <0.001
 [70,80) 5.74 (5.21–6.32) <0.001 65.67 (48.80–88.37) <0.001
 [80,Inf) 1.28 (1.16–1.42) <0.001 183.03 (136.06–246.22) <0.001
 Sex: Male 1.9 (1.86–1.95) <0.001 1.41 (1.38–1.43) <0.001
Hypertension 1.36 (1.32–1.39) <0.001 0.97 (0.95–0.99) 0.004
Obesity 1.86 (1.82–1.91) <0.001 0.97 (0.95–0.99) 0.002
Diabetes mellitus 1.12 (1.09–1.15) <0.001 0.94 (0.92–0.96) <0.001
Smoking 1.03 (1.00–1.07) 0.052 1.1 (1.07–1.13) <0.001
Alcohol use disorders 0.83 (0.80–0.87) <0.001 1.29 (1.24–1.33) <0.001
Charlson comorbidity index ≥3 0.99 (0.97–1.02) 0.644 1.98 (1.94–2.02) <0.001
Pandemic waves4
 First 1.19 (1.16–1.23) <0.001 1.04 (1.02–1.07) 0.001
 Second 0.97 (0.94–0.99) 0.016 1.09 (1.06–1.11) <0.001
1

Data are for patients who were discharged after COVID-19 between February 1, 2020 and August 31, 2021 in France. The 2011-2020 French National Hospital Discharge (PMSI) database was used to identify underlying conditions before COVID-19. Dates to define first, second, and third pandemic waves were October 1, 2020, March 15, 2021, and May 31, 2021.

2

Risks were computed with multinomial logistic regression models.

3

Reference was the [18, 30) age category.

4

Reference was the third pandemic wave (May 31 to August 31, 2021).

Financial support

The study did not receive any external funding.

Authors’ contributions

VM, FD, SB, MS: conception of the study, analysis and interpretation of the data, draft of the manuscript. All other members of the Demosthenes group facilitated the study or took care of the reported patients.

Conflicts of interest

The authors declare no conflicts of interest that pertain to this work.

Please refer to the accompanying ICMJE disclosure forms for further details.

Footnotes

Supplementary data to this article can be found online at https://doi.org/10.1016/j.jhep.2021.11.020.

Contributor Information

the Demosthenes research group:

François Depret, Samir Bouam, Michaël Schwarzinger, Hélène Fontaine, Marion Corouge, Anaïs Vallet Pichard, Clémence Hollande, Philippe Sogni, Stanislas Pol, and Vincent Mallet

Demosthenes research group

François Depret,1 Samir Bouam,2 Michaël Schwarzinger,3 Hélène Fontaine,4 Marion Corouge,4 Anaïs Vallet Pichard,4 Clémence Hollande,4 Philippe Sogni,4 Stanislas Pol,4 Vincent Mallet4

1AP-HP.Nord Université de Paris, Groupe Hospitalier St-Louis-Lariboisière, DMU Parabol, Département d’Anesthésie Réanimation et Centre de Traitement des Brûlés, Paris, France; FHU Promice Paris France; INI-CRCT, Nancy, France ; 2AP-HP.Centre Université de Paris, Groupe Hospitalier Cochin Port Royal, DMU PRIME, Unité d’Information Médicale, Paris, France ; 3Service de soutien méthodologique et d’innovation en prévention (SSMIP), CHU de Bordeaux; 33000 Bordeaux, France; University of Bordeaux, Inserm UMR 1219-Bordeaux Population Health, 33000 Bordeaux, France ; 4AP-HP.Centre Université de Paris, Groupe Hospitalier Cochin Port Royal, DMU Cancérologie et spécialités médico-chirurgicales, Service d’Hépatologie, Paris, France

Supplementary data

The following are the supplementary data to this article:

Multimedia component 1
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References

  • 1.Giabicani M., Le Menestrel A., Roux O., Rautou P.E., Weiss E., COVID-ICU study group Focus on the decisions to forego life-sustaining therapies during ICU stay of patients with cirrhosis and COVID-19: a case control study from the prospective COVID-ICU database. J Hepatol. 2022;76(3):742–744. doi: 10.1016/j.jhep.2021.09.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Associated Data

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Supplementary Materials

Multimedia component 1
mmc1.pdf (220.4KB, pdf)

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