Prognostic Scoring System for Mortality of Hospitalized COVID-19 Patients in Resource-Limited Settings: A Multicenter Study from COVID-19 Referral Hospitals.

BACKGROUND: Many studies identified the risk factors and prognostic factors related to in-hospital COVID-19 mortality using sophisticated laboratory tests. Cost and the availability of supporting blood tests may be problematic in resource-limited settings. This multicenter cohort study was conducted to assess the factors associated with mortality of COVID-19 patients aged 18 years and older, based on history taking, physical examination, and simple blood tests to be used in resource-limited settings. METHODS: The study was conducted between July 2020 and January 2021 in five COVID-19 referral hospitals in Indonesia. Among 1048 confirmed cases of COVID-19, 160 (15%) died during hospitalization. RESULTS: Multivariate analysis showed eight predictors of in-hospital mortality, namely increased age, chronic kidney disease, chronic obstructive pulmonary disease, fatigue, dyspnea, altered mental status, neutrophil-lymphocyte ratio (NLR) ≥ 5.8, and severe-critical condition. This scoring system had an Area-under-the-curve (AUC) of 84.7%. With cut-off score of 6, the sensitivity was 76.3% and the specificity was 78.2%. CONCLUSION: The result of this practical prognostic scoring system may be a guide to decision making of physicians and help in the education of family members related to the possible outcome.

Dilemma of Prioritising Health and the Economy During COVID-19 Pandemic in Indonesia.

Since the detection of the first confirmed case of coronavirus disease 2019 (COVID-19) in early March 2020, 248,852 cases have been detected in Indonesia by 21 September 2020. At least 100 doctors have died from COVID-19 nationwide. Full large-scale social restriction was a temporary measure, followed by an early transition to the new normal era during the never-ending first wave in the country. Workers in industrial, retail, transport, and tourism fields suffered a significant decrease in work. Many countries are, however, in dilemma of protecting the health of the citizens and prioritising economy. Health should be prioritised because it is an important aspect of our lives for our economy. Poor health is estimated to reduce global gross domestic product (GDP) by 15% annually through premature deaths and potential loss of productivity of the working-age citizens. Pandemics also depress economy through decrease in both supply and demand. Data from flu pandemic a century ago suggested the importance of aggressiveness and speed of intervention. Taiwan's early action led to beneficial effects on SARS-CoV-2 infection rate and economy recovery. The target of enhancement of containment measures, provision of personal protective equipments, and testing and isolation facilities should be achieved earlier and be more than the projected demand.

Risk factors and laboratory test results associated with severe illness and mortality in COVID-19 patients: A systematic review.

BackgroundWe aimed to systematically review all relevant studies related to the risk factors and laboratory test results associated with severe illness and mortality in COVID-19 patients.MethodsWe utilised PubMed, Scopus, ProQuest, Wiley Online Library, ScienceDirect and MedRxiv to search for studies, with additional hand-searched journals. We included systematic reviews/meta-analyses, cohort and case control studies of suspected and/or confirmed COVID-19 cases with severe illness and/or mortality as outcomes. We included laboratory test results and risk factors. We assessed risk of bias using ROBIS-I and Newcastle-Ottawa Scale assessment tool. Type of study, risk of bias, and precision of results determined evidence sufficiency.ResultsOf 26 records included, sufficient evidence suggested the association between age >60 years, hypertension, coronary heart disease, DM, serum LDH 250-500 U/L, LDH >500 U/L, and lymphopenia (lymphocyte count ≤1.0 x 109 /L) and severe illness of COVID-19. CD3+CD8+ cell count ≤ 75 cell/µl, D-dimer > 1 mg/L, AKI stage 2 and 3, proteinuria ≥1+, hematuria ≥1+, and peak serum creatinine > 13.26 µmol/L are associated with mortality.ConclusionAge >60 years, hypertension, DM, and coronary heart disease are the risk factors for severe illness of COVID-19. Laboratory test results associated with severe illness are serum LDH 250-500 U/L, LDH >500 U/L, and lymphopenia, whereas test results associated with mortality are CD3+CD8+ cell count ≤ 75 cell/µl, AKI stage 2 and 3, proteinuria ≥1+, hematuria ≥1+, D-dimer > 1 mg/L, peak serum creatinine > 13.26 µmol/L.

Optimal Amikacin Levels for Patients with Sepsis in Intensive Care Unit of Cipto Mangunkusumo Hospital, Jakarta, Indonesia.

BACKGROUND: Amikacin is one of the antibiotics of choice for sepsis and septic shock. Pharmacokinetic of amikacin can be influenced by septic condition with subsequent effect on its pharmacodynamic. At Cipto Mangunkusumo Hospital (RSCM), Jakarta, adult patients in the ICU were given standard amikacin dose of 1 g/day, however the achievement of optimal plasma level had never been evaluated. This study aimed to evaluate whether the optimal plasma level of amikacin was achieved with the use of standard dose in septic conditions. METHODS: all septic patients admitted to the intensive care unit of a national tertiary hospital receiving standard dose of 1g/day IV amikacin during May-September 2015 were included in this study. Information of minimum inhibitory concentration MIC was obtained from microbial culture. Cmax of amikacin was measured 30 minutes after administration and optimal level was calculated. Optimal amikacin level was considered achieved when Cmax/MIC ratio >8. RESULTS: average Cmax achieved for all patients was 86.4 (43.5-238) µg/mL with 87% patients had Cmax of >64 µg/mL.MIC data were available for 7 of 23 patients. MICs for identified pathogens were 0.75 - >256 µg/mL (K. pneumonia), 0.75 - >256 µg/mL(A. baumanii), 1.5 - >256 µg/mL (P. aeruginosa)and 0.75 - 16 µg/mL(E. coli). Four out of seven patients achieved optimal amikacin level. CONCLUSION: despite high Cmax, only half of the patients achieved optimal amikacin level with highly variable Cmax. This study suggests that measurement of Cmax and MIC are important to optimize septic patients management.