Background And Aims: Predicting severe disease is important in provocative decision-making for the management of patients with the coronavirus disease 2019 (COVID-19); However, there are still some controversies about the COVID-19's severity predicting factors. This study aimed to investigate the relationships between clinical and laboratory findings regarding COVID-19's severity in patients admitted to a tertiary hospital in Mashhad, Iran.
Methods: A cross-sectional study was conducted on patients with documented COVID-19 infection based on the reverse transcription-polymerase chain reaction test. Clinical symptoms, vital signs, and medical history of the patients were recorded from their medical records. Laboratory findings and computed tomography (CT) study findings were documented. Disease severity was defined based on CT scan findings.
Results: A total of 564 patients (58.8 ± 16.8 years old) were evaluated. The frequency of severe disease was 70.4%. There was a significant difference in heart rate ( = 0.0001), fever ( = 0.002), dyspnea ( = 0.0001), chest pain ( = 0.0001), diarrhea ( = 0.021), arthralgia ( = 0.0001), and chills ( = 0.044) as well as lymphopenia ( = 0.014), white blood cell count ( = 0.001), neutrophil count ( < 0.0001), lymphocyte count ( < 0.0001), and prothrombin time ( = 0.001) between disease severity groups. Predictors of severe COVID-19 were pulse rate (crude odds ratio [cOR] = 1.014, 95% confidence interval [CI] for cOR: 1.001, 1.027) and leukopenia (cOR = 3.910, 95% CI for cOR: 1.294, 11.809). Predictors for critical COVID-19 were pulse rate (cOR = 1.075, 95% CI for cOR: 1.046, 1.104), fever (cOR = 2.516, 95%CI for cOR: 1.020, 6.203), dyspnea (cOR = 4.190, 95% CI for cOR: 1.227, 14.306), and leukocytosis (cOR = 3.866, 95% CI for cOR: 1.815, 8.236).
Conclusions: Leukopenia and leukocytosis have the strongest correlation with the COVID-19 severity. These findings could be a valuable guild for clinicians in COVID-19 patient management in the inpatient setting.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533955 | PMC |
| http://dx.doi.org/10.1002/hsr2.1574 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Vaccination against SARS-CoV-2 provides low-level cross-protection against common cold coronaviruses in mouse and non-human primate animal models.
J Virol
January 2025
Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
The common cold coronaviruses are a source of ongoing morbidity and mortality particularly among elderly and immunocompromised individuals. While cross-reactive immune responses against multiple coronaviruses have been described following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and vaccination, it remains unclear if these confer any degree of cross-protection against the common cold coronaviruses. A recombinant fowl adenovirus vaccine expressing the SARS-CoV-2 spike protein (FAdV-9-S19) was generated, and protection from SARS-CoV-2 challenge was shown in K18-hACE2 mice.
View Article and Find Full Text PDFDefining the Critical Requisites for Accurate Simulation of SARS-CoV-2 Viral Dynamics: Patient Characteristics and Data Collection Protocol.
J Med Virol
January 2025
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Mathematical models of viral dynamics are crucial in understanding infection trajectories. However, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load data often includes limited sparse observations with significant heterogeneity. This study aims to: (1) understand the impact of patient characteristics in shaping the temporal viral load trajectory and (2) establish a data collection protocol (DCP) to reliably reconstruct individual viral load trajectories.
View Article and Find Full Text PDFArticles' retraction during the pandemic: COVID-19 is not the pacemaker.
Ann Transl Med
December 2024
Medical Direction, Rovereto Hospital, Provincial Agency for Social and Sanitary Services (APSS), Trento, Italy.
Predictors of Mortality among End-Stage Renal Disease Patients with COVID-19 Admitted in a Philippine Tertiary Government Hospital: A Retrospective Cohort Study.
Acta Med Philipp
December 2024
Naga City, Camarines Sur, Philippines.
Background And Objective: Several studies have examined the predictors of mortality among COVID-19-infected patients; however, to date, few published studies focused on end-stage renal disease patients. The present study, therefore, aims to determine the predictors of in-hospital mortality among end-stage renal disease patients with COVID-19 admitted to a Philippine tertiary hospital.
Methods: The researcher utilized a retrospective cohort design.
Insights from immunomics and metabolomics on the associations between prostatic diseases and coronavirus disease 2019.
Prostate Int
September 2024
Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei 230032, China.
Background: The causal associations and potential mechanisms between prostatic diseases, the predominant male urological disorders, and the course of COVID-19 remain unclear.
Methods: A two-sample Mendelian randomization (MR) analysis was performed to evaluate causal associations between prostate cancer, benign prostatic hyperplasia, and prostatitis and different COVID-19 outcomes (SARS-CoV-2 infection, hospitalized COVID-19, and severe COVID-19). Reverse MR, linkage disequilibrium score regression, and Bayesian colocalization analyses were subsequently performed to strengthen the identified causal relationships.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!