Secondary dengue causes more severe disease than the primary. Early on, it is important to differentiate the two. We tried to find important clinical and laboratory differences between the two for the purpose of early differentiation. One hundred fourteen patients confirmed on reverse transcriptase-polymerase chain reaction (RT PCR) were studied. On day 2 of illness IgM and IgG indices were studied for calculation of IgG/IgM ratio. A one-step immunochromatographic assay was used for classification of patients into primary and secondary dengue. Patient characteristics were also studied. Dengue serotype 1 was the most common found in 60.5% patients. 66.7% (76 patients) had secondary dengue. Secondary dengue cases had a higher mean temperature (101.56 ± 1.55 vs. 100.79 ± 1.25,°F, p 0.015), lower platelet counts (50.51 ± 38.91 vs. 100.45 ± 38.66, x 103/micl, p <0.0001) and a significantly higher percentage of Dengue hemorrhagic fever/Dengue shock syndrome (38.2% vs. 2.6%, p <0.0001). In early phase of dengue NS1 and PCR were found to be better tests for diagnosis and later IgM is better. The IgG/IgM ratio of ≥ 1.10 had a sensitivity of 100%, specificity of 97.4% and accuracy of 67.5% in differentiating secondary from primary dengue. Early on in the clinical course, IgG/ IgM ratio can play an important role to differentiate the two. We found the ratio of ≥ 1.10 to be the best cut off for the same.

Coronavirus Disease 2019 (COVID-19) is a rapidly progressing global pandemic that may present with a variety of cardiac manifestations including, but not limited to, myocardial injury, myocardial infarction, arrhythmias, heart failure, cardiomyopathy, shock, thromboembolism, and cardiac arrest. These cardiovascular effects are worse in patients who have pre-existing cardiac conditions such as coronary artery disease, hypertension, diabetes mellitus, and coagulation abnormalities. Other predisposing risk factors include advanced age, immunocompromised state, and underlying systemic inflammatory conditions. Here we review the cellular pathophysiology, clinical manifestations and treatment modalities of the cardiac manifestations seen in patients with COVID-19.

Introduction Literature regarding outcomes and predictors of complications secondary to infective endocarditis (IE) is limited. We aimed to study the outcomes and predictors of complications of IE. Methods Data from a national emergency department sample, which constitutes 20% sample of hospital-owned emergency departments in the USA, were analyzed for hospital visits for IE. Complications of endocarditis were obtained by using ICD codes. Multivariable generalized linear method was used to evaluate predictors of in-hospital mortality and complications. Results Out of 255,838 adult IE patients (mean age 60.3 ± 20.1 years, 48.5% females), 97,803 (38.2%) patients developed one or more major complications. The major complications were cardiovascular system complications [57,900 (22.6%)], neurologic [42,851 (16.7%)] complications, and renal [16,236 (6.4%)] complications. These included cardiogenic shock [3873 (1.5%)], septic shock [25,798 (10.1%)], acute heart failure [35,602 (14%)], systemic thromboembolism (STE) [21,390 (8.36%)], heart block [11,430 (4.47%)], in-hospital dialysis [2880 (1.1%)], and disseminated intravascular coagulation (DIC) [2704 (1.1%)]. Patients with complicated IE had risk of mortality (adjusted RR 1.12, 95% CI 1.11–1.13, p < 0.001). The complications strongly associated with mortality were septic shock (RR 1.29, 95% CI 1.27–1.30, p < 0.001), cardiogenic shock (RR 1.24, 95% CI 1.20–1.29, p < 0.001), DIC (RR 1.4, 95% CI 1.35–1.46, p < 0.001), and STE (RR 1.07, 95% CI 1.05–1.08, p < 0.001). Staphylococci were the predominant causative organisms (30.8%) among the complicated IE subgroups with higher associated mortality (42.8%). The main predictors of complications from IE were congenital heart disease, history of congestive heart failure, high Elixhauser comorbidity profile, staphylococcal infection, and fungal infections. The prevalence of cardiogenic shock increased over the study years from 1.13 to 1.98% (p-trend 0.04). Conclusion Complicated IE is not uncommon and is associated with significant mortality. Staphylococcal infections were associated with high mortality rates. There has been an increasing trend of cardiogenic shock among IE patients across the US. Further research is needed to improve the outcomes of complicated endocarditis.

The clinical efficacy of remote dielectric sensing (ReDS) monitoring is not well known. Digital databases were searched to identify relevant articles. Pooled unadjusted odds ratio (OR) for dichotomous outcomes were calculated using a random-effects model. Findings were reported as a point estimate with its 95% confidence interval (CI). A total of 985 patients across seven studies were included in the meta-analysis. Patients with heart failure monitored with ReDS had significantly lower odds of hospital readmission compared with non-ReDS patients (OR = 0.40; 95% CI 0.29–0.56; z = 5.43 p = 0.000, I2 = 0%). Subgroup analysis based on the duration of follow-up showed a lower odd of readmission within 30 days (OR = 0.36; 95% CI 0.18–0.71; z = 2.93; p = 0.003; I2 5.7%), as well as between 1 and 3 months (OR = 0.42; 95% CI 0.29–0.61; z = 4.54; p = 0.000; I2 = 0.0%). ReDS effect of lower readmissions of HF was observed irrespective of the duration of follow-up (<1-month vs 1–3 months). ReDS monitoring significantly lowers the odds of HF readmission within 3 months compared to participants not using ReDS.