Risk Factors Associated with Mortality among Patients with COVID-19: Analysis of a Cohort of 1213 Patients in a Tertiary Healthcare Center

Romero‐Gameros, Carlos Alfonso; Vargas‐Ortega, Guadalupe; Macías, Mario Enrique Rendón; Cuevas-García, Carlos; Colin-Martínez, Tania; Sánchez-Hurtado, Luis Alejandro; Balcázar-Hernández, Lourdes; Cruz-Rodríguez, Iván Emilio De la; Pérez-Dionisio, Enid Karina; Retana-Torres, Perla Michelle; García-Montesinos, Elsy Sarahí; López-Moreno, Mayra Alejandra; Intriago-Alor, Marielle; Waizel‐Haiat, Salomón; González-Virla, Baldomero

doi:10.3390/jcm11102780

Cited by 6 publications

(13 citation statements)

References 31 publications

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“…In many investigations; decreased white blood cell, platelet count, and increased d-dimer, AST, urea, creatinine, and LDH were associated with mortality (14)(15)(16)(17). Romero-Gomeros et al (7) reported that high levels of d-dimer, LDH, and CRP levels were related to mortality as in our study in which we observed CRP, d-dimer, LDH, and procalcitonin levels were significantly higher in the mortal group.…”

Section: Resultssupporting

confidence: 71%

“…In the same study, when laboratory values were examined, high blood urea nitrogen (BUN), lactate dehydrogenase (LDH), c-reactive protein (CRP), d-dimer, procalcitonin, neutrophil count, and low albumin and lymphocyte levels were associated with mortality (6). Romero-Gameros et al (7) found a significant relationship between mortality and higher d-dimer, ferritin, LDH, and CRP levels.…”

Section: Introductionmentioning

confidence: 97%

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The mortality predictors in non-vaccinated COVID-19 patients

Güllü

Koca

2022

Journal of Health Sciences and Medicine

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Aim: The novel coronavirus (SARS-CoV-2) causes COVID-19 disease. From December 31, 2019, to the present (July 2022), 545 million new cases have been detected, while the number of deaths due to the disease has reached 6.3 million. This study aims to reveal mortality-related risk factors, including comorbid conditions, clinical course, imaging, and laboratory parameters in COVID-19 patients hospitalized in a tertiary hospital. Material and Method: An observational, retrospective study was conducted among hospitalized COVID-19 patients at the tertiary health center in Turkey between November 2020 and April 2021. A total of 601 patients were treated in this period and vaccinated 85 patients were excluded. The remaining 516 patients’ demographical data, clinical severity, laboratory parameters, thorax computed tomography (CT) involvement, and mortalities were recorded. Results: In evaluating the factors affecting COVID-19 mortality, it was observed that male gender and advanced age were significantly associated with mortality, and the mortality rate was higher in patients with involvement in thorax CT and patients with a clinically severe course. In the evaluation of the patients in terms of comorbidities, DM, HT, and CAD were significantly higher in the patients who died. It was determined that patients who died during hospitalization needed respiratory support at a higher rate. Conclusion: Identifying predicting factors is essential for the early recognition the vulnerable patients for hospitalization decisions and early aggressive treatment. In this study, male gender, advanced age, comorbidities (DM, HT, CAD), pulmonary involvement, and severe clinical presentation were identified as significantly related factors associated with mortality.

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Section: Resultssupporting

confidence: 71%

Section: Introductionmentioning

confidence: 97%

The mortality predictors in non-vaccinated COVID-19 patients

Güllü

Koca

2022

Journal of Health Sciences and Medicine

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“…It is still unclear how COVID-19 manifests its pathological characteristics. A previous study showed that age is an independent predictor of severe/critical cases, suggesting that older people are more likely to suffer from severe or acute illness [22][23][24] . The median age of the severe/critical cases in this study was 77 (68-84) years, which was signi cantly higher than 65 (51-77) years for the ordinary cases.…”

Section: Discussionmentioning

confidence: 99%

The predictive value of serum C-reactive protein levels for disease severity in patients infected with the SARS-CoV-2

Ren,

Qiu,

et al. 2024

Preprint

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In the present study, we explored the predictive value of CRP in patients infected with SARS-CoV-2 omicron variants (omicron patients). 216 omicron patients, comprising 59 ordinary and 157 severe/critical cases, were enrolled in this study. The univariable and multivariate logistical regression revealed that age, neutrophil percentage, lymphocyte percentage, CRP, and complications were independent predictors of disease severity. The area under the ROC curve (AUC) of CRP (0.874) was significantly higher than that of age (0.712), neutrophil percentage (0.729), lymphocyte percentage (0.734), and complications (0.673) in disease severity prediction (all p<0.05). CRP demonstrated a sensitivity of 89.7% and specificity of 78.6% at a cutoff value of 28.17. Thus, CRP could serve as a promising predictor of disease severity in omicron patients.

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“…The study population we included had different severities of illness, and the overall mortality rate was 19%. Many studies have used various biomarkers, such as CRP [ 39 – 44 ], PCT [ 39 , 43 , 45 , 46 ], IL-6 [ 39 , 43 , 46 ], WBC [ 40 , 47 – 49 ], D-dimer [ 42 , 44 , 46 , 50 , 51 ], lactate dehydrogenase (LDH) [ 39 , 42 – 44 , 46 , 47 ], N-terminal pro-B-type natriuretic peptide (NT-proBNP) [ 39 , 52 , 53 ], and Troponin T [ 39 , 54 ], and critical illness scores, such as APACHE II [ 55 – 57 ], SOFA [ 55 , 56 , 58 – 60 ], SAPS [ 61 – 64 ], and CURB65 [ 59 , 61 , 65 ], to evaluate the prognosis of patients with COVID-19. The APACHE II and SOFA scoring systems require the worst values of the clinical and biological parameters to be recorded within 24 h of admission [ 66 ].…”

Section: Discussionmentioning

confidence: 99%

Circulating mid-regional proadrenomedullin is a predictor of mortality in patients with COVID-19: a systematic review and meta-analysis

Wang

Liu

et al. 2023

BMC Infect Dis

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Background Although there is increasing understanding of the changes in the laboratory parameters of Coronavirus disease 2019 (COVID-19), the correlation between circulating Mid-regional Proadrenomedullin (MR-proADM) and mortality of patients with COVID-19 is not fully understood. In this study, we conducted a systematic review and meta-analysis to evaluate the prognostic value of MR-proADM in patients with COVID-19. Methods The PubMed, Embase, Web of Science, Cochrane Library, Wanfang, SinoMed and Chinese National Knowledge Infrastructure (CNKI) databases were searched from 1 January 2020 to 20 March 2022 for relevant literature. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) was used to assess quality bias, STATA was employed to pool the effect size by a random effects model, and potential publication bias and sensitivity analyses were performed. Results 14 studies comprising 1822 patients with COVID-19 met the inclusion criteria, there were 1145 (62.8%) males and 677 (31.2%) females, and the mean age was 63.8 ± 16.1 years. The concentration of MR-proADM was compared between the survivors and non-survivors in 9 studies and the difference was significant (P < 0.01), I2 = 46%. The combined sensitivity was 0.86 [0.73–0.92], and the combined specificity was 0.78 [0.68–0.86]. We drew the summary receiver operating characteristic (SROC) curve and calculated the area under curve (AUC) = 0.90 [0.87–0.92]. An increase of 1 nmol/L of MR-proADM was independently associated with a more than threefold increase in mortality (odds ratio (OR) 3.03, 95% confidence interval (CI) 2.26–4.06, I2 = 0.0%, P = 0.633). The predictive value of MR-proADM for mortality was better than many other biomarkers. Conclusion MR-proADM had a very good predictive value for the poor prognosis of COVID-19 patients. Increased levels of MR-proADM were independently associated with mortality in COVID-19 patients and may allow a better risk stratification.

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Risk Factors Associated with Mortality among Patients with COVID-19: Analysis of a Cohort of 1213 Patients in a Tertiary Healthcare Center

Cited by 6 publications

References 31 publications

The mortality predictors in non-vaccinated COVID-19 patients

The mortality predictors in non-vaccinated COVID-19 patients

The predictive value of serum C-reactive protein levels for disease severity in patients infected with the SARS-CoV-2

Circulating mid-regional proadrenomedullin is a predictor of mortality in patients with COVID-19: a systematic review and meta-analysis

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