Dataset Information

Biomarkers and sepsis severity as predictors of mechanical ventilation and mortality in COVID-19.

ABSTRACT:

Introduction

Patients with septic shock face an elevated risk of mortality compared to those with sepsis. Several biomarkers, including lactate dehydrogenase, albumin, and lactate/albumin (L/A), have been associated with increased mortality in COVID-19 patients. This study aims to assess the relationship between sepsis, septic shock, and mortality, as well as the need for mechanical ventilation in COVID-19 patients. Demographic, sepsis severity factors, and biomarkers are examined.

Methods

A retrospective case series from June 2020 to March 2021 included 490 patients diagnosed with sepsis or septic shock secondary to SARS-CoV-2 pneumonia. Time-to-event analyses were conducted for mechanical ventilation and mortality. Statistical significance was set at p ≤ .0038. Serum lactate, albumin, lactate/albumin ratio, C-reactive protein, platelet levels, and three sepsis severity scales, (CCI, SOFA, APACHE IV) were assessed.

Results

Sepsis was identified in 352 patients (71.8%), while 138 had septic shock. Patients with septic shock were more likely to require invasive ventilator support. Factors associated with a higher risk of intubation included higher APACHE IV scores, elevated serum albumin levels, and increased L/A ratio. L/A ratio and serum lactate levels demonstrated the best diagnostic accuracy for mechanical ventilation (AUC, 0.964 and 0.946, respectively), mortality (AUC, 0.926 and 0.887, respectively).

Discussion

Increased C-reactive protein, combined with increased serum lactate and a high lactate/albumin ratio, may assist clinicians in identifying COVID-19 patients at risk of mechanical ventilation and mortality upon admission. Optimal cut-off values for lactate (1.45-1.65 mmol/L) and L/A ratio (0.413) can aid in prioritizing medical care for at risk COVID-19 patients.

SUBMITTER: Jimenez-Zarazua O

PROVIDER: S-EPMC10990852 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

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Biomarkers and sepsis severity as predictors of mechanical ventilation and mortality in COVID-19.

Jiménez-Zarazúa O O Vélez-Ramírez L N LN Mondragón J D JD

Heliyon 20240325 7

<h4>Introduction</h4>Patients with septic shock face an elevated risk of mortality compared to those with sepsis. Several biomarkers, including lactate dehydrogenase, albumin, and lactate/albumin (L/A), have been associated with increased mortality in COVID-19 patients. This study aims to assess the relationship between sepsis, septic shock, and mortality, as well as the need for mechanical ventilation in COVID-19 patients. Demographic, sepsis severity factors, and biomarkers are examined.<h4>Me ...[more]

PMID: 38576552

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Project description:ObjectiveTo identify potential predictors for invasive and non-invasive mechanical ventilation in coronavirus disease 2019 (COVID-19) patients.MethodsThis study retrospectively analyzes data of 516 patients with confirmed COVID-19, who were categorized into three groups based on which mechanical ventilation method was used during the hospitalization period.ResultsAmong 516 confirmed cases with COVID-19, 446 patients did not receive mechanical ventilation, 38 patients received invasive mechanical ventilation (IMV) and 32 received non-invasive mechanical ventilation (NIMV). The median age of the included patients was 61 years old (interquartile range, 52-69). A total of 432 patients had one or more coexisting illnesses. The main clinical symptoms included fever (79.46%), dry cough (66.47%) and shortness of breath (46.90%). IMV and NIMV patients included more men, more coexisting illnesses and received more medication. Patients in the IMV group and NIMV had higher leukocyte and neutrophil count, lower lymphocyte count, higher aspartate aminotransferase (AST), lactate dehydrogenase (LDH), C-reactive protein (CRP), procalcitonin (PCT) and D-dimer levels and lower albumin (ALB) level. The univariate and multiple logistic regression analysis showed that the use of glucocorticoid, increased neutrophil count and LDH had a predictive role as indicators for IMV, and the use of glucocorticoid, increased neutrophil count and PCT had a predictive role as indicators for NIMV. The area under the curve (AUC) of use of glucocorticoid, increased neutrophil count and LDH was 0.885 (95% confidence interval (CI) 0.838-0.933, p < 0.0001), which provided the specificity and sensitivity 77.7% and 90.9%, respectively. AUC of the use of glucocorticoid, increased neutrophil count and PCT for NIMV was 0.888 (95% CI 0.825-0.952, p < 0.0001), which provided the specificity and sensitivity 70.3% and 96.4%, respectively.ConclusionGlucocorticoid, increased neutrophil and LDH were predictive indicators for IMV, whereas glucocorticoid, increased neutrophil and PCT were predictive indicators for NIMV. In addition, the above-mentioned mediators had the most predictive meaning for mechanical ventilation when combined.The reviews of this paper are available via the supplemental material section.

Project description:BackgroundThere are limited data on risk factors for serious outcomes and death from COVID-19 among patients representative of the U.S.PopulationThe objective of this study was to determine risk factors for critical care, ventilation, and death among hospitalized patients with COVID-19.MethodsThis was a cohort study using data from Optum's longitudinal COVID-19 electronic health record database derived from a network of healthcare provider organizations across the US. The study included patients with confirmed COVID-19 (presence of ICD-10-CM code U07.1 and/or positive SARS-CoV-2 test) between January 2020 and November 2020. Patient characteristics and clinical variables at start of hospitalization were evaluated for their association with subsequent serious outcomes (critical care, mechanical ventilation, and death) using odds ratios (OR) and 95% confidence intervals (CI) from logistic regression, adjusted for demographic variables.ResultsAmong 56,996 hospitalized COVID-19 patients (49.5% male and 72.4% ≥ 50 years), 11,967 received critical care, 9136 received mechanical ventilation, and 8526 died. The median duration of hospitalization was 6 days (IQR: 4, 11), and this was longer among patients that experienced an outcome: 11 days (IQR: 6, 19) for critical care, 15 days (IQR: 8, 24) for mechanical ventilation, and 10 days (IQR: 5, 17) for death. Dyspnea and hypoxemia were the most prevalent symptoms and both were associated with serious outcomes in adjusted models. Additionally, temperature, C-reactive protein, ferritin, lactate dehydrogenase, D-dimer, and oxygen saturation measured during hospitalization were predictors of serious outcomes as were several in-hospital diagnoses. The strongest associations were observed for acute respiratory failure (critical care: OR, 6.30; 95% CI, 5.99-6.63; ventilation: OR, 8.55; 95% CI, 8.02-9.11; death: OR, 3.36; 95% CI, 3.17-3.55) and sepsis (critical care: OR, 4.59; 95% CI, 4.39-4.81; ventilation: OR, 5.26; 95% CI, 5.00-5.53; death: OR, 4.14; 95% CI, 3.92-4.38). Treatment with angiotensin-converting enzyme inhibitors/angiotensin receptor blockers during hospitalization were inversely associated with death (OR, 0.57; 95% CI, 0.54-0.61).ConclusionsWe identified several clinical characteristics associated with receipt of critical care, mechanical ventilation, and death among COVID-19 patients. Future studies into the mechanisms that lead to severe COVID-19 disease are warranted.

Dataset Information

Biomarkers and sepsis severity as predictors of mechanical ventilation and mortality in COVID-19.

Introduction

Methods

Results

Discussion

Publications

Biomarkers and sepsis severity as predictors of mechanical ventilation and mortality in COVID-19.

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