key: cord-0836933-lwfk79ch
authors: Piskač Živković, Nevenka; Lucijanić, Marko; Bušić, Nikolina; Jurin, Ivana; Atić, Armin; Andrilović, Ana; Penović, Toni; Domić, Iva; Gnjidić, Jelena; Demaria, Martina; Papić, Ivan; Tješić-Drinković, Ida; Lukšić, Ivica; Baršić, Bruno
title: The associations of age, sex, and comorbidities with survival of hospitalized patients with coronavirus disease 2019: data from 4014 patients from a tertiary-center registry
date: 2022-02-03
journal: Croat Med J
DOI: 10.3325/cmj.2022.63.36
sha: 615b4d7ca7483a31bc574f063d0ad943d4fc64a5
doc_id: 836933
cord_uid: lwfk79ch

AIM: To investigate how age, sex, and comorbidities affect the survival of hospitalized coronavirus disease 2019 (COVID-19) patients. METHODS: We retrospectively analyzed the records of 4014 consecutive adults hospitalized for COVID-19 in a tertiary-level institution from March 2020 to March 2021. RESULTS: The median age was 74 years. A total of 2256 (56.2%) patients were men. The median Charlson-comorbidity-index (CCI) was 4 points; 3359 (82.7%) patients had severe or critical COVID-19. A significant interaction between age, sex, and survival (P < 0.05) persisted after adjustment for CCI. In patients <57 years, male sex was related to a favorable (odds ration [OR] 0.50, 95% confidence interval [CI] 0.29-0.86), whereas in patients ≥57 years it was related to an unfavorable prognosis (OR 1.19, 95% CI 1.04-1.37). Comorbidities associated with inferior survival independently of age, sex, and severe/critical COVID-19 on admission were chronic heart failure, atrial fibrillation, acute myocardial infarction, acute cerebrovascular insult, history of venous thromboembolism, chronic kidney disease, major bleeding, liver cirrhosis, mental retardation, dementia, active malignant disease, metastatic malignant disease, autoimmune/rheumatic disease, bilateral pneumonia, and other infections on admission. CONCLUSION: Among younger patients, female sex might lead to an adverse prognosis due to undisclosed reasons (differences in fat tissue distribution, hormonal status, and other mechanisms). Patient subgroups with specific comorbidities require additional considerations during hospital stay for COVID-19. Future studies focusing on sex differences and potential interactions are warranted.

is a systemic disease presenting with predominantly respiratory symptoms. Up to 15%-20% of affected individuals develop high inflammatory state and severe intensity of symptoms requiring hospital admission in (1) . Age and comorbidities were among the earliest recognized clinical risk factors for adverse disease course, and have consistently been shown to affect the severity of presentation and survival of COVID-19 patients. Unfavorable disease course has been especially associated with chronic metabolic comorbidities, such as arterial hypertension, diabetes mellitus, hyperlipoproteinemia, and obesity (2) (3) (4) (5) (6) (7) . Charlson comorbidity index (CCI), a summary measure of comorbidities validated as a prognostic tool in a number of chronic and malignant diseases (8, 9) , has also been associated with an adverse COVID-19 clinical course (10) (11) (12) (13) (14) (15) .

Since elderly patients who are more frail and more prone to more severe COVID-19 are also more burdened with comorbidities, in some patients it is almost impossible to distinguish whether clinical deterioration and adverse clinical outcomes are attributable to COVID-19 or to prior comorbidities. Higher inflammatory state associated with COVID-19 might lead to clinical decompensation of chronic comorbidities, and vice versa, prior comorbidities and elevated baseline inflammatory state might predispose to more severe COVID-19. Due to this complex relationship and the need for better understanding how and to what extent particular comorbidities affect the survival of COVID-19 patients, we aimed to investigate the associations of age, sex, and comorbidities with survival in a large cohort of hospitalized COVID-19 patients treated in our institution. We hypothesized that older age, male sex, and higher comorbidity burden were associated with higher death rates.

This retrospective, registry-based study used data from the hospital Registry obtained through the analysis of written and electronic medical records of all COVID-19 patients admitted to University Hospital Dubrava. Our institution was repurposed to become a regional tertiary COVID-19 center. Among 4102 hospital admissions, we retrospectively analyzed the records of 4014 consecutive adults who had an index hospital admission because of COVID-19. Patients were treated from March 2020 to March 2021 and they all completed their index hospital admission. All patients had a positive polymerase chain reaction or antigen COVID-19 test before hospital admission. Patients were treated ac-cording to the contemporary guidelines. The study was approved by the University Hospital Dubrava Review Board (2021/2503-04).

COVID-19 disease severity on admission was graded as mild, moderate, severe, or critical based on the World Health Organization (WHO) and national guidelines (16, 17) . Obesity was defined as body mass index above 30. Comorbidities were assessed as individual entities and summarized by using CCI (18) . In-hospital mortality and survival at 30 days from hospital admission were assessed as clinical outcomes.

The normality of distribution of numerical variables was tested by using the Kolmogorov-Smirnov test. Numerical variables are presented as median and interquartile range (IQR), and categorical variables as frequencies and percentages. Differences in numerical variables between the subgroups were assessed by using the Mann-Whitney U test and Kruskal-Wallis ANOVA test with post-hoc analysis by the Conover test. Trends of increase in age, CCI, and male sex across COVID-19 severity categories were assessed by using the Jonckheere-Terpstra test for trend and Χ 2 test for trend. The associations of investigated parameters with in-hospital survival were assessed by using the logistic regression analysis. For the assessment of independent associations of specific comorbidities with COVID-19 severity and survival, a model was built by using the backward approach with P < 0.05 and P > 0.1 criteria for variable inclusion and removal, respectively. Receiver-operating characteristic curve analysis was used to establish the optimal cut-off level for in-hospital mortality discrimination for age. Thirty-day survival estimates were based on the Kaplan-Meier method and univariate survival analyses, and were performed by using the log-rank test. P values <0.05 were considered statistically significant. All analyses were performed with MedCalc statistical software, version 20.006 (MedCalc Software Ltd, Ostend, Belgium).

We enrolled 4014 patients (2256 or 56.2% men) with the index hospitalization for COVID-19 infection. The median age was 74 years (IQR 64-82). The median disease duration at hospital admission was 5 days (IQR 1-9). COVID-19 severity at hospital admission was mild in 449 (11.2%), moderate in 206 (5.1%), severe 2761 (68.8%), and critical in 598 (14.9%) patients. Severe and critical COVID-19 symptoms were present in 3359 (82.7%) of patients. A total of 3531 (88%) patients had pneumonia and 3265 (81.3%) required oxygen supplementation. The median CCI was 4 points (IQR 3-6). The frequencies of specific comorbidities are presented in Table 1 . Overall, 1428 (35.6%) patients died during the index hospital stay, with a 30-day survival rate of 65.4%.

Patients presenting with more severe COVID-19 on admission were significantly more likely to be of older age Figure 1A . The largest difference in mortality was detected at the age cut-off of >70 years (47.1% vs 19%: OR 3.8, 95% CI 3.28-4.41, P < 0.05).

In the overall sample and unadjusted analyses, sex was not significantly associated with survival (0.499). However, since female patients were significantly older than male (median 78 vs 71 years; P < 0.05), after adjusting for age, male patients had significantly worse survival (OR 1.41, 95% CI 1.23-1.63, P < 0.05) independently of age (OR 1.06, 95% CI 1.06-1.07, P < 0.05), which showed that the association of sex with survival in the overall cohort was masked due to age differences. Moreover, age, sex, and survival significantly interacted (P < 0.05). The effect of sex on survival changes depended on the age of patients. This phenomenon persisted after adjusting for CCI and was present independently of CCI (interaction term age*sex OR 1.0, 95% CI 1.0-1.01, P < 0.05; CCI OR 1.31, 95% CI 1.28-1.35, P < 0.05). In patients younger than 57 years, female sex was associated with worse prognosis (OR for male sex 0.50, 95% CI 0.29-0.86, P < 0.05; Figure 2A ), whereas in patients ≥57 years male sex was associated with worse prognosis (OR 1.19, 95% CI 1.04-1.37, P < 0.05; Figure 2B ) ( Figure 3 ).

CCI was significantly associated with worse survival when used as a continuous variable (OR 1.31, 95% CI 1.28-1.35, P < 0.05), with the risk of death increasing 30% for every additional point, as well as when stratified to quartiles ( Figure  1B ). 

Since specific comorbidities were more prevalent in different age groups and sex groups compared with general cohort, in Table 1 we present crude and age-adjusted and sex-adjusted odds ratios for in-hospital mortality associated with specific comorbidities. All comorbidities with either crude or age-adjusted and sex-adjusted univariately significant associations with survival, together with age, sex, and COVID-19 severity on admission, were included in the logistic regression model building process using the backward approach ( 

Our real-life data from a large tertiary center registry confirmed that age, sex, and comorbidity burden were significantly associated with more severe COVID-19 on admission and worse survival of hospitalized COVID-19 patients independently of one other. The important novel finding was that age and sex might moderate each other's effect on the survival of hospitalized COVID-19 patients. This phenomenon was independent of CCI and thus might not be directly attributable to differences in comorbidity burden. Older age affected the survival of male COVID-19 patients more profoundly, with the difference in survival becoming skewed in favor of women after the fifth decade of life. It is unknown why women in younger age groups have worse prognosis. We speculate the reasons could be different fat tissue body composition, fat tissue distribution, and hormonal differences between sexes, which diminish in older age groups.

Since specific comorbidities are typically present in age and sex subgroups that differ from the overall cohort average, their associations with survival were either masked or more pronounced in unadjusted analyses. Arterial hypertension, which was the most common comorbidity, lost its association with survival after adjustment for age and sex. Patients with arterial hypertension and hyperlipoproteinemia were older than the rest of the cohort and the detrimental association of these conditions with survival was at least in part caused by older age. The opposite was true in patients with obesity, which was recognized as a negative prognostic parameter after age and sex adjustments. Age, sex, and comorbidity burden substantially affected the outcomes of hospitalized COVID-19 patients. Hence, differences in these parameters in different published cohorts make straightforward indirect comparisons difficult.

Our data confirm previously reported negative prognostic value of high comorbidity burden as assessed with CCI in patients with COVID-19 (10) (11) (12) (13) . CCI, a composite measure of comorbidity burden, is as practical tool to assess the contribution of comorbidities to COVID-19 prognosis (19) (20) (21) . It was included in some of the COVID-19 prognostic scores, such as Veterans Health Administration COVID-19 Index for COVID-19 Mortality (22).

It is of particular interest that specific acute and chronic comorbidities contribute to higher in-hospital mortality independently of age, sex, and COVID-19 severity. Severe or critical COVID-19 on admission most strongly affects survival, and bilateral pneumonia independently increases the risk of death for about two times. These are followed by the presence of liver cirrhosis and major bleeding. Survival was also substantially affected by cognitive impairment (due to patients' inability to fully cooperate with medical procedures), acute cardiovascular complications, and chronic cardiovascular diseases. A history of venous thromboembolism, which might imply intrinsic pro-thrombotic condition, was also recognized as an important independent predictor of worse survival. Active and metastatic malignancy, autoimmune/rheumatic disease, and other infections on admission were also significantly independently associated with worse survival.

Limitations of this study are retrospective design and single-center experience. Our results are representative of tertiary-level hospital experience and might not be generalizable to other contexts of medical care for COVID-19 patients. However, this is one of the largest published cohorts of hospitalized COVID-19 patients so far, providing the opportunity to thoroughly investigate associations and relationships of age, sex, comorbidities, and survival. Our study highlights the fact that age and sex differences might mask the relationship of specific parameters with survival, as well as that age and sex might mutually moderate the associations with survival among hospitalized COVID-19 patients. Future studies focusing on sex differences and potential interactions are warranted.

In conclusion, patient subgroups with specific comorbidities require additional considerations during hospital admission for COVID-19. High-risk comorbidities that are independently associated with worse survival should be recognized early and appropriately treated.

Acknowledgments This study is a part of the project "Registar hospitalno liječenih bolesnika u Respiracijskom centru KB Dubrava"/"Registry of hospitalized patients in University hospital Dubrava Respiratory center. "

Funding None.

ethical approval given by the University Hospital Dubrava Review Board (2021/2503-04).

Declaration of authorship ML conceived and designed the study; ML, NB, IJ, AAt, AAn, TP, ID, JG, MD, IP, and ITD acquired the data; all authors analyzed and interpreted the data; NPŽ and ML drafted the manuscript; all authors critically revised the manuscript for important intellectual content; all authors gave approval of the version to be submitted; all authors agree to be accountable for all aspects of the work.

Competing interests ML is a statistical editor in the Croatian Medical Journal. To ensure that any possible conflict of interest relevant to the journal has been addressed, this article was reviewed according to best practice guidelines of international editorial organizations. All authors have completed the Unified Competing Interest form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: no support from any organization for the submitted work; no financial relationships with any organizations that might have an interest in the submitted work in the previous 3 years; no other relationships or activities that could appear to have influenced the submitted work.

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