Background: Antimicrobial resistance (AMR) is a critical global health threat, with disproportionately high burdens in low‐ and middle‐income countries. In Indonesia, where antimicrobial stewardship initiatives are still developing, local antibiograms are scarce yet crucial to guide evidence‐based empirical therapy. Methods: We conducted a retrospective descriptive study of cumulative antibiogram data from YARSI Hospital, a tertiary care academic hospital in Jakarta, Indonesia, covering January–December 2024. Analysis followed Clinical and Laboratory Standards Institute (CLSI) M39‐A4 guidelines and was restricted to the first clinical isolate per species, patient, and specimen type. Susceptibility data were stratified by Gram classification, specimen source, and care setting, with semester‐wise comparisons (January–June vs. July–December). Results: Among 1782 clinical specimens, Klebsiella pneumoniae predominated among Gram‐negative isolates, exhibiting high multidrug resistance with ≤ 20% susceptibility to third‐generation cephalosporins, particularly in blood and ICU samples. Acinetobacter baumannii , the leading respiratory and ICU isolate, retained susceptibility only to amikacin (15%) and trimethoprim–sulfamethoxazole (25%). Escherichia coli from urine remained susceptible to ceftazidime (78%), cefepime (81%), meropenem (95%), and amikacin (93%). Gram‐positive isolates, including Staphylococcus epidermidis and Enterococcus faecalis , were largely susceptible to vancomycin and linezolid, although frequent coagulase‐negative staphylococcal bacteremia suggested challenges in aseptic technique. Conclusion: The persistence of multidrug‐resistant K. pneumoniae and A. baumannii highlights the urgent need for targeted antimicrobial stewardship in Indonesian tertiary hospitals. Routine, stratified antibiogram reporting is essential to guide empirical therapy, inform policy, and curb the progression of AMR.

(1) Background: This study aims to assess visceral fat values, waist circumference (WC), body mass index (BMI), and body fat percentage for their ability to predict poor outcomes during COVID-19 patients’ hospitalization; (2) Methods: This study was a prospective cohort of mild–moderate COVID-19 patients hospitalized at Dr. Cipto Mangunkusumo National General Hospital from December 2020 to March 2021. This study includes hospitalized patients over 18 diagnosed with COVID-19 using RT-PCR. Patients who do not have chest radiography, waist circumference, a bioimpedance analyzer (BIA) error, or are unable to stand or mobilize during the examination are excluded from this study. Cox regression was used for multivariate analysis; (3) Results: The study included two hundred sixty-one patients. The median visceral fat value was 10 (equivalent to 100 cm²), the WC was 93.4 cm, the BMI was 26.1 kg/m², and the body fat percentage was 31.5%. Based on multivariate Cox regression, WC was statistically significant as an independent factor influencing poor outcomes in COVID-19 patients (RR 1.037 [95% CI 1.011–1.064]) along with COVID-19 degree of severity (RR 3.063 [95% CI 1.537–6.104]) and comorbidities (RR 2.123 [95% CI 1.017–4.435]); (4) Conclusions: Waist circumference can influence poor outcomes in confirmed COVID-19 patients during hospitalization.