Background Community-acquired pneumonia (CAP) is the leading cause of death in children globally. Indonesia is ranked 1st in South East Asia with the highest burden of pneumonia. Identification of risk factors is necessary for early intervention and better management. This study intended to describe CAP’s clinical signs and laboratory findings and explore the risk factors of severe CAP among children in Indonesia. Methods This was a retrospective study of childhood hospitalizations in Siloam General Hospitals and Siloam Hospitals Lippo Village from December 2015 to December 2019. Demographic data, clinical signs, and laboratory findings were collected and processed using IBM SPSS 26.0. Results This study included 217 participants with 66 (30.4%) severe pneumonia cases. Multivariate analysis shows that fever that lasts more than 7 days (ORadj = 4.95; 95%CI 1.61–15.21, Padj = 0.005) and increase in respiratory rate (ORadj = 1.05, 95%CI 1.01–1.08, Padj = 0.009) are two predictors of severe pneumonia. Meanwhile, a normal hematocrit level (ORadj = 0.9; 95%CI 0.83–0.98, Padj = 0.011) and children with normal BMI (ORadj = 0.7; 95%CI 0.57–0.84, Padj < 0.001) are significant independent predictors of severe pneumonia. The Hosmer-Lemeshow test shows that this model is a good fit with a P-value of 0.281. The AUC for this model is 0.819 (95%CI = 0.746–0.891, P-value < 0.001) which shows that this model has good discrimination. Conclusion Pediatric CAP hospitalizations with fever lasting > 7 days and tachypnea were at higher risk for progressing to severe pneumonia. A normal hematocrit level and a normal BMI are protective factors for severe pneumonia.

Objective The uncertainty of dengue's progression from infection to its severe form represents a major health care challenge, especially in children. Clinical identification of impending clinical manifestations of severe dengue (SD), along with proper and immediate management, is crucial. Thus, this study assesses the ability of warning signs to predict SD infection in pediatric patients. Methods This cross-sectional study utilized purposive sampling using medical records from January 2015 to December 2020. Children aged 0 to 18 years diagnosed with dengue fever and SD according to the World Health Organization's 2009 criteria were included. Discussion Multivariate analysis revealed that abdominal pain (odds ratio [OR]: 16.34; 95% confidence interval [CI]: 3.78–70.64; p < 0.001), fluid accumulation (OR: 10.51, 95% CI: 1.17–94.3; p = 0.036), mucosal bleeding (OR: 4.77; 95% CI: 1.27–17.91; p = 0.021), lethargy (OR: 94.37; 95% CI: 4.92–180.79; p = 0.003), hepatomegaly (OR: 17.57; 95% CI: 2.14–144.13; p = 0.008), and increased hematocrit concurrent with a rapid decrease in platelets (OR: 6.89; 95% CI: 1.79–26.51, p = 0.005) were associated with SD infection, with a high quality of discrimination (area under the curve [AUC] = 0.96) and a high quality of fit (p = 0.73). Receiver operating characteristic analysis demonstrated that 1.5 warning signs was the optimal cut-off for predicting SD infection, with a sensitivity of 90.9 and a specificity of 89.8%. Conclusion All six warning signs were significantly associated with SD infection. The optimal cut-off for predicting SD was 1.5 warning signs.

Background Dengue infection is one of the most common viral infections globally, with a broad spectrum of clinical manifestations, including hemorrhage and shock. Early diagnostic confirmation of dengue infection is essential, but some areas may not have the appropriate diagnostic tools while its clinical symptoms are similar to other diseases. We aim to determine some significant clinical characteristics and laboratory parameters in differentiating dengue from other causes of febrile. Results This study included 527 dengue patients and 268 control patients. Multivariate analysis showed older age (OR = 12.11; 95% 5.42–26.63, p < 0.001), the absence of diarrhea (OR = 0.12; 95% CI 0.06–0.25, p < 0.001), leukopenia (OR = 13.35; 95% CI 4.99–38.71, p < 0.001), thrombocytopenia (OR = 7.12; 95% CI 2.37–21.38, p < 0.001), and normal ESR (OR = 3.03; 95% CI 1.54–5.96, p = 0.001) are significant parameters in differentiating dengue with excellence (AUC value of 0.96) and good fit of the model (p value = 0.8). The cut-off is two significant variables with a sensitivity of 91.4% and specificity of 87.5%. Conclusions Two or more clinical signs can help clinicians differentiate dengue from other acute febrile illnesses.

BackgroundThe mortality of dengue hemorrhagic fever (DHF) infection in children is still high now. Discriminating dengue fever (DF) and DHF during the early phase is difficult, especially with limited diagnostic tools in peripheral areas. Hence, early identification of significant factors in DHF is important, with rapid disease progression may lead to mortality. This study aims to determine early clinical and laboratory parameters significant in differentiating DF and DHFMethodsThis is a cross-sectional study using secondary data from medical records collected by purposive sampling from January 2015 to December 2020. This study included children aged 0-18 years old diagnosed with DF and DHF based on WHO 2011 criteria. ResultsFrom multivariate analysis of 528 dengue patients, presence of prior dengue infection (OR = 7.1; 95% CI: 2.1-23.7, p=0.001), transfusion administration (OR = 34; 95% CI: 8.7-132, p<0.001), present hepatomegaly (OR = 7.2; 95% CI 1.3-38.2, p=0.02) and other bleeding manifestations (OR = 3.5; 95% CI 1.3-9.3, p=0.012) are significant parameters to differentiate DF and DHF with good quality of discrimination (AUC value = 0.83) and the model is a good fit (Hosmer-Lemeshow value = 0.65). ROC analysis showed two significant variables yielded 55.6% of sensitivity and 86.3% of specificity.ConclusionsTwo or more characteristics of present hepatomegaly, other bleeding manifestations, transfusion receive, and prior dengue infection are specific to dengue infections yet less sensitive to differentiate DF and DHF.

excellent at ruling in DSS when positive but less helpful at ruling it out when negative. The first scoring system was also moderately good at ruling in DHF when positive.