Background: Corona Virus Disease (COVID-19) has become a global pandemic and has spread to more than 200 countries including Indonesia. South Kalimantan is one of the provinces in Indonesia that has a high COVID-19 mortality rate (case fatality rate 4.1%). Information about characteristic of mortality patients with SARS-CoV-2 infection in Indonesia was limited. The objective of this study to describe clinical characteristics of COVID-19-confirmed deaths at Ulin Regional Hospital Banjarmasin, as a referral hospital in South KalimantanMethods: Medical records of 108 hospitalized patients dying with COVID-19 between March until August 2020 were collected. The recorded information included gender, age, onset and severity of disease, comorbidities, symptoms, signs, and laboratory findingsResults: The 108 confirmed cases of COVID-19 deaths were mostly male (73.1%) aged <65 years old (85.2%). About 84% of the cases had at least one comorbidity or more, like hypertension (44.4%), obesity (38%), and diabetes mellitus (32.4%). Common early symptoms were fever (91.7%) and shortness of breath (89.8%). Laboratory findings included lympocytopenia and eosinophilopenia (80.6% and 72.2%), increased neutrophil lymphocyte ratio (NLR; 86.1%), decreased absolute lymphocyte count (ALC; 72.2%), and hyponatremia (55.6%). Elevated C-reactive protein (CRP; 92.6%), lactate dehydrogenase (LDH; 91.7%), serum glutamic oxaloacetic transaminases (SGOT; 82.4%), and creatinine levels (57.4%). The majority of non survivors were severe-critical stage with severe acute respiratory distress syndrome (ARDS).Conclusion: In this depictive study, patients with comorbidities and severe-critical stage are at risk of death. Laboratory abnormalities were common in non survivors. Shortness of breath may indicate poor prognosis of COVID-19.

Corona Virus Disease (COVID-19) is becoming a global pandemic. Indonesia, especially South Kalimantan had recorded increasing cases with a high fatality rate of 3.7%. Information about factors related to outcomes based on clinical and laboratory features in Indonesia is still limited. Identification of the risk is crucial to determine optimal management and reducing mortality. This retrospective study enrolled 455 adults COVID-19 patients, and data were extracted from medical records of Ulin General Hospital Banjarmasin. The latter is COVID-19 referral hospital in South Kalimantan between March-November 2020. Demographic data, comorbidities, and laboratory were all collected. Data were compared between survivors and non-survivors. Fisher’s exact test and chi-square were used to compare categorical variables. The Mann_Whitney U test was used to compare continuous variables. Analysis was continued by multivariate logistic regression then receiver operating characteristic (ROC) curve to determine cut-off value. The multivariate analysis showed that number of comorbidities [odds ratio (OR) 1,339 (95% confidence interval (CI): 1,064-1,685, P = 0,013) was a significant risk factor to the outcome. In laboratory, lactate dehydrogenase (LDH) [OR: 1.001, 95% CI: 1,000-1.002, P = 0.001], Ferritin (OR 1.000, CI: 1,000-1.001, P = 0.013), APTT (OR: 1.045, CI: 1.010-1.082, P = 0.012), and D-dimer (OR: 1.188, CI: 1.064 - 1.327, P = 0.002) were significant predictor factors but only LDH, ferritin, and D- dimer were obtained good AUC 0.731, 0.715, and 0.705, respectively. The cut of the value of LDH was 656.5 U/L, ferritin was 672.18 ng/ml, and D-dimer was 2.28 mg/L. Sensitivity and specificity were 66.7% and 68,0% for LDH, 83,2% and 56,3% for ferritin, and 62,8 and 70,8% for D-dimer. From this research, we revealed that the number of comorbidities was a risk factor for death. Elevated LDH, ferritin, and D-dimer could be good predictive factors for poor outcomes, thereby considering the accelerating management of COVID-19 patients

In Indonesia, the burden of tuberculosis (TB) infection is significant, and there is likely a substantial link between TB and malnutrition. Anemia, which is linked to TB patient outcomes and length of hospital stay, is another issue that might aggravate the disease. This study aims to identify how common undernutrition and anemia are among tuberculosis patients at the Ulin Regional Hospital in Banjarmasin. A cross-sectional observational study was conducted using medical record data from 31 hospitalized tuberculosis patients during the period of September to December 2021. Data of weight, height, body mass index (BMI), Hemoglobin (Hb) and blood albumin level at admission were analyzed. The result shows that tuberculosis cases are mostly found in the male (61.3%) with the age of 20-60 years (83.9%). There were 42% patients with undernutrition (BMI 18.5), 93.5% with anemia and 71% had hypoalbuminemia. Rifampicin resistance was found in 38.7% of all patients with 58.3% being malnourished, 100% had anemia, and 50% had hypoalbuminemia. There was a possible link between tuberculosis and under nutrition. Therefore, screening, early diagnosis, and treatment for under nutrition, anemia, and hypoalbuminemia should be encouraged in patients with tuberculosis, whether susceptible or resistant to rifampicin, to lower the burden of the disease.

The incidence of COVID-19 continues to increase, especially in the city of Banjarmasin. The increasing number of cases of COVID-19 is caused by several factors, including sociodemographic risk factors such as level of education and occupation. This study aims to analyze the relationship between education and employment levels with the incidence of COVID-19 at the Pemurus Dalam Health Center in Banjarmasin City. The research method is analytic observational with a case control approach. Sampling using simple random sampling technique with a total sample of 64 patients Pemurus Dalam City Health Center Banjarmasin who have met the inclusion and exclusion criteria, then analyzed using the chi-square test. The results showed that there was a relationship between education level and the incidence of COVID-19 which had a p value of 0.026, and the relationship between work and the incidence of COVID-19 which had a p value of 0.035. The two results show that there is a significant relationship (p value < 0.05) between education and occupation levels with the incidence of COVID-19. Keywords: Incidence, Education, Occupation, COVID-19 Abstrak: Kejadian COVID-19 hingga saat ini terus meningkat terutama di Kota Banjarmasin. Meningkatanya kasus kejadian COVID-19 disebabkan oleh beberapa faktor, antara lain faktor risiko sosiodemografik seperti tingkat pendidikan dan  pekerjaan. Penelitian ini bertujuan untuk menganalisis hubungan tingkat pendidikan dan pekerjaan dengan kejadian COVID-19 di Puskesmas Pemurus Dalam Kota Banjarmasin. Metode penelitian adalah observasional analitik dengan pendekatan case control. Pengambilan sampel menggunakan teknik simple random sampling dengan jumlah sampel sebanyak 64 pasien Puskesmas Pemurus Dalam Kota Banjarmasin yang telah memenuhi kriteria inklusi dan eksklusi, selanjutnya dianalisis menggunakan uji chisquare. Hasil penelitian menunjukan terdapat hubungan antara tingkat pendidikan dengan kejadian COVID-19 yang memiliki p value sebesar 0,026, dan hubungan antara pekerjaan dengan kejadian COVID-19 yang memiliki p value sebesar 0,035. Kedua hasil tersebut menunjukkan bahwa terdapat hubungan yang bermakna (p value < 0,05) antara tingkat pendidikan dan pekerjaan dengan kejadian COVID-19. Kata-kata kunci: kejadian, tingkat pendidikan, pekerjaan, COVID-19

Introduction: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the cause of clinical disease, better known as COVID-19. The most common method to detect COVID-19 is serological testing of IgM and IgG in response to viral infections using rapid diagnostic test (RDT). Several other guidelines consider polymerase chain reaction (PCR) as the gold standard for diagnosis becausePCR has high sensitivity and specificity values in detecting SARS-CoV-2.Methods: This was a descriptive analytical study. The samples were taken from medical records of COVID-19 patients in Ulin General Hospital Banjarmasin from March to October 2020. Statistical Package for the Social Sciences (SPSS) 16.0 software and Chi-Square test were used for data analysis.Results: From 751 COVID-19 patients, 408 patients (54.32%) had rapid antibody with positive PCR, 132 patients (17.57%) had reactive rapid antibody with negative PCR, 152 patients (20.23%) had non-reactive rapid antibody with positive PCR, and 59 patients (7.85%) had non-reactive rapid antibody with negative PCR. The rapid antibody had sensitivity of 72.85% and specificity of 30.89%. From Chi-Square test, reactive rapid antibody was not correlated with PCR positive results; values of p = 0.320, odds ratio (OR) 1.20.Conclusion: The rapid test antibody could not be recommended as a diagnostic tool. In this study, it was also found that there was no relationship between reactive rapid test results and positive SARS-CoV PCR.