Publikasi Scopus 2024 per tanggal 30 September 2024 (820 artikel)

Ion R.; Kimidi J.S.S.K.; Kalapala C.; FNU O.; Chandrababu V.R.; Desireddygari O.R.; Grigras M.L.; Rosca O.; Bratosin F.; Cioca F.; Timar R.; Negrean R.A.
Ion, Radu (59305542100); Kimidi, Jaya Shankar Sai Kumar (59305382700); Kalapala, Chaitanya (59238851100); FNU, Oktrian (59306173900); Chandrababu, Varshika Ramakrishnan (59305697900); Desireddygari, Omprakash Reddy (59305542200); Grigras, Mirela Loredana (59305542300); Rosca, Ovidiu (36240000200); Bratosin, Felix (57218758032); Cioca, Flavius (12771375500); Timar, Romulus (6504241349); Negrean, Rodica Anamaria (57203360769)
59305542100; 59305382700; 59238851100; 59306173900; 59305697900; 59305542200; 59305542300; 36240000200; 57218758032; 12771375500; 6504241349; 57203360769
Evaluating the Utility of Clinical Scores APACHE, CURB, SOFA, and NEWS2 at Admission and 5-Days after Symptom Onset in Predicting Severe COVID-19 in Patients with Diabetes
2024
Journal of Personalized Medicine
14
8
868
0
Department III Functional Sciences, Division of Public Health and Management, Victor Babes University of Medicine and Pharmacy, Timisoara, 300041, Romania; Katuri Medical College and Hospital, Katuri Health City, 522019, India; Katuri Medical College, Dr YSR University of Health Sciences, Vijayawada, 520008, India; Faculty of Medicine, University of Indonesia, Jakarta, 10430, Indonesia; Faculty of Medicine, Royal Stoke University Hospital, Stoke-on-Trent, ST4 6QG, United Kingdom; Methodological and Infectious Diseases Research Center, Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, Timisoara, 300041, Romania; Doctoral School, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, Timisoara, 300041, Romania; Discipline of Medical Statistics and Bioinformatics, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, Timisoara, 300041, Romania; Department of Internal Medicine II, Division of Diabetes, Nutrition and Metabolic Diseases, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, Timisoara, 300041, Romania; Department of Preclinical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, 410073, Romania
Ion R., Department III Functional Sciences, Division of Public Health and Management, Victor Babes University of Medicine and Pharmacy, Timisoara, 300041, Romania; Kimidi J.S.S.K., Katuri Medical College and Hospital, Katuri Health City, 522019, India; Kalapala C., Katuri Medical College, Dr YSR University of Health Sciences, Vijayawada, 520008, India; FNU O., Faculty of Medicine, University of Indonesia, Jakarta, 10430, Indonesia; Chandrababu V.R., Faculty of Medicine, Royal Stoke University Hospital, Stoke-on-Trent, ST4 6QG, United Kingdom; Desireddygari O.R., Faculty of Medicine, Royal Stoke University Hospital, Stoke-on-Trent, ST4 6QG, United Kingdom; Grigras M.L., Methodological and Infectious Diseases Research Center, Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, Timisoara, 300041, Romania; Rosca O., Methodological and Infectious Diseases Research Center, Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, Timisoara, 300041, Romania; Bratosin F., Methodological and Infectious Diseases Research Center, Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, Timisoara, 300041, Romania; Cioca F., Doctoral School, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, Timisoara, 300041, Romania, Discipline of Medical Statistics and Bioinformatics, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, Timisoara, 300041, Romania; Timar R., Department of Internal Medicine II, Division of Diabetes, Nutrition and Metabolic Diseases, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, Timisoara, 300041, Romania; Negrean R.A., Department of Preclinical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, 410073, Romania
The elevated risk of severe COVID-19 outcomes in patients with diabetes underscores the need for effective predictive tools. This study aimed to assess the predictive accuracy of APACHE II, CURB-65, SOFA, and NEWS2 scores at critical time points in diabetic patients diagnosed with COVID-19, aiming to guide early and potentially life-saving interventions. In a prospective cohort study conducted from January 2021 to December 2023, adult patients with type 1 or type 2 diabetes and confirmed SARS-CoV-2 infection were evaluated. Clinical scores were calculated at admission and five days post-symptom onset, with data analyzed using receiver operating characteristic (ROC) curves and logistic regression to determine areas under the curve (AUC) and hazard ratios (HR) for severe outcomes. Among the 141 diabetic patients studied, ROC analysis revealed high AUC values for SOFA (0.771 at admission, 0.873 at day five) and NEWS2 (0.892 at admission, 0.729 at day five), indicating strong predictive accuracy for these scores. The APACHE II score’s AUC improved from 0.698 at admission to 0.806 on day five, reflecting worsening patient conditions. Regression analysis showed significant HRs associated with exceeding threshold scores: The SOFA score HR at day five was 3.07 (95% CI: 2.29–4.12, p < 0.001), indicating a threefold risk of severe outcomes. Similarly, the APACHE II score showed an HR of 2.96 (95% CI: 2.21–3.96, p < 0.001) at day five, highlighting its utility in predicting severe disease progression. The SOFA and NEWS2 scores demonstrated excellent early predictive accuracy for severe COVID-19 outcomes in diabetic patients, with significant AUC and HR findings. Continuous score monitoring, especially of APACHE II and SOFA, is crucial for managing and potentially mitigating severe complications in this vulnerable population. These tools can effectively assist in the timely escalation of care, thus potentially reducing morbidity and mortality among diabetic patients during the COVID-19 pandemic. © 2024 by the authors.
COVID-19; diabetes mellitus; SARS-CoV-2
accuracy; adult; APACHE; Article; body mass; Charlson Comorbidity Index; clinical outcome; cohort analysis; controlled study; coronavirus disease 2019; CURB-65 score; diabetes mellitus; diabetic patient; diagnostic test accuracy study; disease severity; female; human; major clinical study; male; middle aged; morbidity; mortality; National Early Warning Score 2; non insulin dependent diabetes mellitus; oxygen saturation; prospective study; receiver operating characteristic; respiratory failure; reverse transcription polymerase chain reaction; Sequential Organ Failure Assessment Score; Severe acute respiratory syndrome coronavirus 2
Victor Babes” University of Medicine and Pharmacy Timisoara
The article processing charge was supported by the \u201CVictor Babes\u201D University of Medicine and Pharmacy Timisoara.
Multidisciplinary Digital Publishing Institute (MDPI)
20754426
Article
Q2
736
7018