Visceral leishmaniasis and glomerulonephritis: A case report

Visceral leishmaniasis is an endemic in the southwestern region of Saudi Arabia, with a low incidence rate. Clinical presentations of visceral leishmaniasis include recurrent fever, substantial weight loss, hepatosplenomegaly and anemia. However, the clinical features may not be easily evident owing to the involvement of multiple organs. This, in turn, can cause difficulties in establishing the correct diagnosis, and subsequently, in managing the patient. Here, the authors report a case of a 42-year-old male from Jizan, southwestern Saudi Arabia, who presented with impaired renal function. After kidney biopsy, the patient was diagnosed with glomerulonephritis of unknown etiology and treated with mycophenolate and prednisone. After 3 months, the patient developed high fever with hepatomegaly and pancytopenia. Based on the investigations, a possible diagnosis of visceral leishmaniasis was considered. Accordingly, he was treated with liposomal amphotericin B, following which his condition improved significantly. This case report discusses the relationship between glomerulonephritis and visceral leishmaniasis and focuses on the potential consequences of glomerulonephritis management without investigating the etiology of the underlying diseases, especially in patients from tropical and subtropical areas

A novel candidate hepatitis C virus genotype 4 subtype identified by next generation sequencing full-genome characterization in a patient from Saudi Arabia

Background and aimHepatitis C virus (HCV) infection is a major global public health concern, being a leading cause of chronic liver diseases such as chronic hepatitis, cirrhosis, and hepatocellular carcinoma. The virus is classified into 8 genotypes and 93 subtypes, each displaying distinct geographic distributions. Genotype 4 is the most predominant in the Middle East and Eastern Mediterranean and is associated with high rates of hepatitis C infection worldwide. This study used next-generation sequencing to fully characterize the HCV genome and identify a novel subtype within genotype 4 isolated from a 64-year-old Saudi man diagnosed with hepatitis C.MethodsWe analyzed the complete genome of the 141-HCV isolate using whole-genome sequencing.ResultsOur phylogenetic reconstructions, based on the entire genome of HCV-4 strains, revealed that the 141-HCV isolate formed a distinct group within the genotype 4 classification, providing valuable new insights into the variability of HCV.ConclusionThis discovery of a previously unclassified HCV subtype within genotype 4 sheds light on the ongoing evolution and diversity of the virus. Such knowledge has significant implications for diagnostic and therapeutic approaches, as different subtypes may exhibit varying drug sensitivities and resistance profiles

Microbiological trends and mortality risk factors of central line-associated bloodstream infections in an academic medical center 2015–2020

Abstract Background Despite tremendous efforts to prevent central line-associated bloodstream infections, they still remain life-threatening complications among hospitalized patients with significant morbidity and mortality worldwide. The emerging antibiotic-resistant bacteria and other risk factors, including patient comorbidities, complicate patient management. Methods A single-center retrospective observational study was conducted at King Fahad Hospital of the University, Eastern Province, Saudi Arabia. Hospitalized patients with confirmed central line-associated bloodstream infections between January 2015 and December 2020 were included. The primary objectives were to investigate the trends in antibiotic susceptibility patterns of the causative agents, coexisting comorbid conditions, and other risk factors associated with mortality. Results A total of 214 patients with confirmed central line-associated bloodstream infections were included (CLABSI). The overall 30-day mortality rate was 33.6%. The infection rates per 1000 central line days for medical, surgical, and pediatric intensive care units were 4.97, 2.99, and 4.56 per 1000 CL days, respectively. The overall microbiological trends showed a predominance of Gram-negative agents, a steady increase of fungal CLABSI up to 24.0% in 2020, and a high prevalence of multidrug resistance up to 47% of bacterial CLABSI. In addition, the study indicates a significant negative surviving correlation with diabetes mellitus, cardiovascular disease, lung disease, chronic kidney disease, and the presence of ≥ 3 comorbidities (P < 0.05). Conclusion The microbiological trends of the study population demonstrated a steady increase of CLABSI caused by Candida spp. with a predominance of Gram-negative pathogens. Stratifying the patients according to relevant mortality risk factors, including patient comorbidities, will help reduce CLABSI rates and improve patient outcomes

Performance of CURB-65 and ISARIC 4C mortality scores for hospitalized patients with confirmed COVID-19 infection in Saudi Arabia

Background: The COVID-19 pandemic continues with new waves that could persist with the arrival of new SARS-CoV-2 variants. Therefore, the availability of validated and effective triage tools is the cornerstone for proper clinical management. Thus, this study aimed to assess the validity of the ISARIC-4C score as a triage tool for hospitalized COVID-19 patients in Saudi Arabia and to compare its performance with the CURB-65 score. Material and methods: This retrospective observational cohort study was conducted between March 2020 and May 2021 at KFHU, Saudi Arabia, using 542 confirmed COVID-19 patient data on the variables relevant to the application of the ISARIC-4C mortality score and the CURB-65 score. Chi-square and t-tests were employed to study the significance of the CURB-65 score and the ISARIC-4C score variables considering the ICU requirements and the mortality of COVID-19 hospitalized patients. In addition, logistic regression was used to predict the variables related to COVID-19 mortality. In addition, the diagnostic accuracy of both scores was validated by calculating sensitivities, specificities, positive predictive value, negative predictive value, and Youden's J indices (YJI). Results: ROC analysis showed an AUC value of 0.834 [95% CI; 0.800–0.865]) for the CURB-65 score and 0.809 [95% CI; 0.773–0.841]) for the ISARIC-4C score. The sensitivity for CURB-65 and ISARIC-4C is 75% and 85.71%, respectively, while the specificity was 82.31% and 62.66%, respectively. The difference between AUCs was 0.025 (95% [CI; −0.0203-0.0704], p = 0.2795). Conclusion: Study results support external validation of the ISARIC-4C score in predicting the mortality risk of hospitalized COVID-19 patients in Saudi Arabia. In addition, the CURB-65 and ISARIC-4C scores showed comparable performance with good consistent discrimination and are suitable for clinical utility as triage tools for hospitalized COVID-19 patients

Early determinants of mortality in hospitalized COVID-19 patients in the Eastern Province of Saudi Arabia

Purpose: This study investigated the clinical determinants of mortality in hospitalized patients infected with COVID-19. Patients and Methods: A retrospective multicenter large cohort of COVID-19 patients hospitalized between March 2020 and February 2021. We included patients admitted with a confirmed COVID-19 infection with positive COVID-19 through real-time polymerase chain reaction (RT-PCR). SPSS version 25.0 (Armonk, NY: IBM Corp.) was used to analyze the data. Results: Among the study participants (n = 1444), the mean age of the population was 49.22±17.69 years, of which 63.9% were males (n = 924). Overall, the mean age for non-survivors was 55.65 ±16.41 years and the length of ICU stay was 13.95 ±12.4 years. The most common comorbidity among the study subjects was hypertension (HTN) (32.7%), followed by cardiovascular disease (CVD) (10.7%). Patients who were mechanically ventilated (MV) had higher mortality than those who did not require MV (p < 0.001). Conclusion: Our study concluded that old age, the presence of underlying cardiovascular conditions, an abnormal WBC count (leukopenia or leukocytosis), and abnormal blood urea nitrogen (BUN) levels are among the independent predictors of mortality in the Saudi population. These findings may guide health care providers to manage COVID-19 patients more effectively with better outcomes