Psychometric properties of kidney disease quality of life-36 (KDQOL-36) in dialysis patients in Indonesia.

OBJECTIVE: The study aimed to evaluate the psychometric properties of KDQOL-36 Bahasa Indonesia in hemodialysis (HD) and continuous ambulatory peritoneal dialysis (CAPD) patients in Indonesia. METHODS: The psychometric analysis was conducted in three hospitals offering both HD and CAPD. The validity was assessed through structural, convergent, and known-group validity, while reliability was evaluated using internal consistency and test-retest reliability. RESULTS: The study involved 370 participants of which 71% received HD treatment. No floor and ceiling effects (< 10%) were identified. Confirmatory factor analysis supported a good model fit for both generic and kidney-specific domains, while exploratory factor analysis revealed three factors for kidney-specific domains and only three items with a loading factor below 0.4. Convergent validity showed positive correlations between kidney-specific domains, generic domains, and EQ-5D. The comparison of quality of life among subgroups based on dialysis type and whether or not patients had diabetes supported the hypotheses of known-group validity. Cronbach's alpha and omega values had demonstrated good internal consistency. Test-retest reliability indicated burden of kidney disease had good reliability, while other domains had moderate reliability. CONCLUSION: The study supports the validity and reliability of both generic and kidney-specific domains of KDQOL-36 Bahasa Indonesia to evaluate quality of life in patients with HD and CAPD in Indonesia. As health-related quality of life is a crucial predictor of patient outcomes, this report contributes new evidence about validity and reliability to recommend the use of KDQOL-36 Bahasa Indonesia in dialysis centers.

A genomic and bioinformatic-based approach to identify genetic variants for liver cancer across multiple continents.

Liver cancer is the fourth leading cause of death worldwide. Well-known risk factors include hepatitis B virus and hepatitis C virus, along with exposure to aflatoxins, excessive alcohol consumption, obesity, and type 2 diabetes. Genomic variants play a crucial role in mediating the associations between these risk factors and liver cancer. However, the specific variants involved in this process remain under-explored. This study utilized a bioinformatics approach to identify genetic variants associated with liver cancer from various continents. Single-nucleotide polymorphisms associated with liver cancer were retrieved from the genome-wide association studies catalog. Prioritization was then performed using functional annotation with HaploReg v4.1 and the Ensembl database. The prevalence and allele frequencies of each variant were evaluated using Pearson correlation coefficients. Two variants, rs2294915 and rs2896019, encoded by the PNPLA3 gene, were found to be highly expressed in the liver tissue, as well as in the skin, cell-cultured fibroblasts, and adipose-subcutaneous tissue, all of which contribute to the risk of liver cancer. We further found that these two SNPs (rs2294915 and rs2896019) were positively correlated with the prevalence rate. Positive associations with the prevalence rate were more frequent in East Asian and African populations. We highlight the utility of this population-specific PNPLA3 genetic variant for genetic association studies and for the early prognosis and treatment of liver cancer. This study highlights the potential of integrating genomic databases with bioinformatic analysis to identify genetic variations involved in the pathogenesis of liver cancer. The genetic variants investigated in this study are likely to predispose to liver cancer and could affect its progression and aggressiveness. We recommend future research prioritizing the validation of these variations in clinical settings.

Investigation of susceptibility genes for chickenpox disease across multiple continents.

Chickenpox (varicella) is caused by infection with the varicella-zoster virus (VZV), a neurotropic alpha herpes virus with a double-stranded DNA genome. Chickenpox can cause life-threatening complications, including subsequent bacterial infections, central nervous system symptoms, and even death without any risk factors. Few studies have been reported to investigate genetic susceptibility implicated in chickenpox. Herein, our study identified global genetic variants that potentially contributed to chickenpox susceptibility by utilizing the established bioinformatic-based approach. We integrated several databases, such as genome-wide association studies (GWAS) catalog, GTEx portal, HaploReg version 4.1, and Ensembl databases analyses to investigate susceptibility genes associated with chickenpox. Notably, increased expression of HLA-S, HCG4P5, and ABHD16A genes underlie enhanced chickenpox susceptibility in the European, American, and African populations. As compared to the Asian population, Europeans, Americans, and Africans have higher allele frequencies of the extant variants rs9266089, rs10947050, and rs79501286 from the susceptibility genes. Our study suggested that these susceptibility genes and associated genetic variants might play a critical role in chickenpox progression based on host genetics with clinical implications.

Dynamic Changes of Platelet and Factors Related Dengue Haemorrhagic Fever: A Retrospective Study in Indonesian.

Dengue is a viral infection caused by the dengue virus (DENV). Dengue infection is a self-limited acute febrile illness caused by four serotypes of DENV (DENV-1~4). Early recognition of high-risk patients would be helpful to reduce mortality rates and prevent severe dengue. Our study aimed to identify factors related to dengue hemorrhagic fever (DHF) based on admission-day data, and further to understand the distribution of biochemical laboratory data in dengue patients. This retrospective study was conducted in hospitals in Yogyakarta city, Indonesia, and involved febrile patients who were admitted to the hospital with a diagnosis of dengue during 2018 and 2020. Logistic regression models were used to identify variables related to DHF. In this study, 1087 patients were included as suspected dengue patients, among them 468 had dengue fever (DF) and 619 had DHF. Over half of the DHF patients were males (55.9%) with an average age of 17.9 years, and with a secondary infection (71.3%). By a multivariate analysis, on-admission laboratory data of thrombocytopenia and hemoglobin showed significant association with DHF. Furthermore, DHF patients had significantly prolonged hospitalizations compared to DF patients. In conclusion, on-admission platelet counts and hemoglobin laboratory data are useful as predictors of DHF especially for suspected dengue patients with the limitations of diagnostic tests.