ABSTRACT
Background: Post-COVID syndromes are the most abundant sequel of coronavirus disease of 2019 (COVID-19) infection, which affects millions of people around the whole world. There is a significant difference observed during the acute phase as well as during the post-COVID period between patients hospitalized with (alpha, delta, or omicron) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant. In the present scenario, when most people are vaccinated, COVID-19 disease is less likely, but the remnants of previous COVID-19 infections are still a vast health burden. Materials and methods: This prospective, observational, comparative, and analytical study included a total of 3,840 COVID-19-infected patients who visited the hospital. We included 1,150 patients of alpha variants, 1,845 patients of delta variants, and 815 patients of omicron variants, from June 2020 to November 2020, March 2021 to July 2021, and January 2022 to May 2022, respectively. All medical data of the study population, including hospital stay and vaccination status, were collected, and all patients were followed up for 6 months of duration. All collected data were compiled and analyzed to compare the post-COVID thrombotic and other events among different variants of COVID-19. Results: Patients infected during the delta variant are the most symptomatic at onset (higher prevalence of fever, dyspnea, cough, myalgia, headache, or gastrointestinal problems) than those infected with the alpha or omicron variant (p < 0.01). A total of 2,830 patients (7.48%) [1,520 (82.38%) of delta variant, 598 (73.37%) of omicron variant, and 712 (60.34%) of omicron variant] developed post-COVID syndrome during their follow-up period out of 3,220 enrolled patients and the difference was statistically significant when compared among variants (p < 0.05). In this study, the highly prevalent post-COVID syndrome was mucormycosis (11.41%), followed by new-onset diabetes (9.89%), pulmonary fibrosis (7.67%), ischemic heart disease (6.46%), brain stroke (3.29%), and other thromboembolic disorders (2.37%). Conclusion: COVID-19-associated onset symptoms during the delta variant were more severe and highly prevalent, while neurological symptoms (aguesia and anosmia) were more common during the alpha variant. Patients infected with the delta variant of COVID-19 are more prone to develop post-COVID-associated complications with minimal risk in the omicron variant and intermediate risk in the alpha variant. Long COVID-19 requires specific attention for management, irrespective of the SARS-CoV-2 variant.
ABSTRACT
Background: Dengue infection is a disease that progresses rapidly to life-threatening conditions. Our goal was to develop a practical scoring system based on clinical profiles and routine tests to predict the severity of infection. Methods: This cross-sectional observational study included 500 patients with dengue infection. Patient demographics, clinical symptoms, regular laboratory tests, and results were collected. Dengue infections are divided into three classes, depending on their severity: dengue fever (DF), dengue hemorrhagic fever (DHF), and dengue shock syndrome (DSS). Based on the total score, patients were divided into three severities. Results: Patients with DSS and DHF scored higher with worsening clinical features and routine laboratory tests compared to DF. Clinical predictors of severity include older age, increased white blood cell (WBC) count, increased hematocrit, increased prothrombin time, decreased platelet count, decreased blood pressure, presence of peri-gallbladder (GB) edema, third space loss, hepatomegaly, and other organ involvement. The severity range is 0–12, and the score is 0–3 for DF, 4–8 for DHF, and 9–12 for DSS. Based on the derived scores, patients were classified according to their original severity in 63% of cases. Conclusion: This dengue infection severity scores correctly classified patients according to their original severity grade of DF, DHF, or DSS. This scoring system helps to quickly assess dengue infections and start treatment according to the correct severity category.