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Gastrointestinal bleeding (GIB) is a COVID-19 complication with high mortality rate whose magnitude and impact have not been reported in Indonesia. Moreover, the resutls of previous studies on factors influencing GIB in COVID-19 still varied widely. This study aimed to measure the proportion of GIB cases in COVID-19 and investigate the factors influencing GIB in COVID-19. This was a cross sectional study on adults with moderate to critical COVID-19 in Pertamina Jaya Referral Hospital and Wisma Haji Pondok Gede Field Hospital, Jakarta from June to September 2021. We found that out of 414 subjects that met the inclusion and exclusion criteria, 17.63% had cases of GIB. Most subjects had comorbidities, including hypertension (51%), type 2 diabetes mellitus [T2DM] (43.2%), cerebrocardiovascular disease [CCVD] (31.4%), and history of peptic ulcer and previous GIB (23.9%). Median[min-max] number of absolute neutrohil was 4,842.5 [1,116-70,000], CRP levels was 65.5 [9-275] mg/dL, and D-dimer levels was 890 [200-5,010] ug/L. Bivariate analysis showed that there were seven variables that were statistically significant. However, according to generalized linear model analysis with Poisson regression family and log link function with robust error variance, there were four final variables that were statistically significant. There variabels as follow hypertension (aRR 2.67; 95%CI 1.52-4.41; p<0.001), CCVD (aRR 1.90; 95%CI 1.27-2.84; p=0.002), high dose corticosteroid therapy (aRR 1.82; 95%CI 1.22-2.73; p=0.004), and high dose proton pump inhibitor [PPI] therapy (aRR 0.41; 95%CI 0.27-0.60; p<0.001). Pearson goodness-of-fit test showed p=0.999 and AUC value of 0.755 (95%CI 0.694-0.815; p<0.001). In conclusion, the proportion of GIB incidence in moderate-critical COVID-19 was 17.63% (95%CI 14.1-21.6%). Factors that influence GIB were hypertension, CCVD, the use of corticosteroid, and PPI.
Kata kunci: COVID-19, kecemasan, Depok
The Pandemic of Coronavirus Disease 2019 (COVID-19) has affected various aspects of life, especially in Depok, where the first case was reported in Indonesia. The increasing cases and existence of public health policies to limit various social activities over the past four months potentially cause anxiety for the community. This study aims to determine the description and factors associated with anxiety during COVID-19 pandemic in Depok. The study design was cross sectional. The data used are primary data obtained by distributing online questionnaires to various social media randomly. The anxiety was measured with Generalized Anxiety disorder-7 (GAD-7) questionnaires. The results showed the proportion of anxiety in Depok was 36.6% and the factor associated with COVID-19 pandemic was level of education (p-value = 0.004, OR 2.305 95% CI 1,295-4,105). Based on the results, it is recommended for the government to conduct an anxiety assessment in the general public and continue to provide education about COVID-19 to the public both through social media and other media.
Key words: COVID-19, anxiety, Depok
Hospital admissions and mortality due to pneumonia increased during the COVID-19 pandemic, both due to COVID-19 and other pathogens, Thus, risk factors need to be identified. The research was conducted to simultaneously analyze the relationship between various biological, lifestyle, environmental and health service determinants on the survival rate of pneumonia patients during the COVID-19 pandemic. This research uses mixed methods design. First, a quantitative retrospective cohort study was performed using cox regression analysis, interaction analysis was carried out using stratification and multiplication methods. Simple random sampling was done from medical records list of pneumonia patients who were treated during the COVID-19 pandemic in May 2020December 2021 at Dr. Cipto Mangunkusumo Hospital, Jakarta. Second, a sequential explanatory qualitative study was performed with a case study design. Information was collected through in-depth interviews of six informants to explain the dynamics of health determinants and inpatient survival from a hospital resilience perspective. There were 1945 subjects, the incidence of mortality during hospitalization was 34.1%. Biological determinants associated with an increased risk of mortality were initial conditions of severe pneumonia (HR 1,8; CI95% 1,38-2,43), CCI score ≥2 (HR 1,5; CI95% 1,16-2,08), complications ≥2 (HR 5,9; 95%CI 2,9-11,9), the trend of inpatient mortality increases with increasing age. The risk of death was lower in subjects with primary infection of organs other than the lungs (HR 0,4; 95% CI 0,35-0,51). Determinants of health care that are associated with an increased risk of death are intubation (HR 1,6; 95% CI 1,27-2,05) and waiting time in the ER ≥8 hours (HR 1,4; 95% CI 1,12-1,63), mortality risk was lower in subjects who received intensive care (HR 0,3;95%CI 0,25-0,41), anticoagulant therapy (HR 0,3;95%CI 0,27-0,44) and steroid therapy in severe non-COVID-19 pneumonia (0,7; 95%CI 0,5-0,9). In COVID-19 pneumonia subjects, the risk of death during hospitalization was lower if they received empiric antibiotics (HR 0,4; 95%CI 0,26-0,58), anticoagulant therapy (HR 0,3; 95%CI 0,23-0,4), and antiviral therapy (HR 0,4;95% CI 0,3-0,5). Steroids (HR 0,4; CI95% 0,3-0,6), convalescent plasma therapy (HR 0,2; CI95% 0,08-0,57), and anti-interleukin-6 therapy (HR 0,7; IK95% 0,46-1,03) reduces the risk of inpatient death in severe COVID-19 pneumonia. Hospital resilience is maintained by having zoning policies, implementing risk mitigation principles, and modulating services according to the principle of proportionality. Hospital networks help reduce financial burdens through providing donations or grants. Hospital vulnerabilities include the fragility of infrastructure, slower process of return to regular services, fearness among health workers and pre-hospital triage not adequately performed. There was no interaction between the pneumonia etiology variable and the surge phase of cases, and there was no interaction between the pneumonia etiology variable and the length of stay in the ER. Biological, environmental and health service determinants are associated to the inpatient survival rate of pneumonia during the COVID-19 pandemic. Hospital resilience needs to be assessed by looking at the impact of the pandemic on mortality from COVID-19 pneumonia and non-COVID-19 pneumonia. Management of the surge capacity due to the COVID-19 pandemic needs to consider zoning principles, proportional service modulation, psychological readiness of health workers, financial condition of hospitals, and infrastructure readiness. Prehospital triage is an external factor that helps improve hospital resilience. Keywords : Pneumonia; COVID-19; Pandemic; survival; hospital resilience
Introduction: Comorbid Diabetes Mellitus (DM) is one of the risk factors for Coronavirus Diseases (COVID-19) mortality. Aim of this study is to determine the association of comorbid diabetes mellitus and COVID-19 mortality among COVID-19 confirmed cases in DKI Jakarta for period March-August 2020, after being controlled with confounding variables. Methode: The study design is a retrospective cohort. The inclusion criteria are confirmed cases of COVID-19 with Polymerase Chain Reaction (PCR) reported to the DKI Jakarta provincial health office, with complete variables. Exclusion criteria is pregnant women. Of the total 41,008 cases in the Jakarta provincial health office's COVID-19 report, there are 30,641 cases that met the inclusion and exclusion criteria. 1,480 samples in this study are taken from all (740) COVID-19 cases with comorbid DM and 740 COVID-19 cases without comorbid DM which are taken through simple random sampling of 29,901 COVID-19 cases without comorbid DM. The data were analyzed using cox proportional hazard regression. The study result indicates that the crude association between DM and mortality among COVID-19 confirmed cases is Crude Hazard Ratio (CHR) 7,4 (95% CI 4,5-12,3, pValue < 0,001). While association between DM and mortality among COVID-19 confirmed cases after being controlled by covariates (hypertensive comorbidities and age groups (> 50 years and < 50 years) is 3.9 (95% CI 2.2- 6.8, p Value <0.001), which means that COVID-19 cases with comorbid DM have a 3.9 times risk of death. Discussion: The results of this study are in line with other studies that indicate DM co- morbidities increase the risk of death from COVID-19. To reduce the incidence of death in COVID-19 cases with comorbid DM, a strategy for preventing and treating COVID- 19 with triage and special attention is needed for rapid and prompt management and monitoring for COVID-19 cases with comorbid DM.
Hasil analisis multivariat dengan modifikasi cox regression menunjukkan bahwa risiko wanita obesitas untuk menderita hipertensi derajat 1 sebesar 1,80 kali (95% CI 1,57-2,06) dibandingkan wanita yang tidak obesitas. Pada wanita premenopause, obesitas dapat meningkatkan risiko terjadinya hipertensi derajat 1 sebesar 1,67 kali (95% CI 1,43-1,94). Risiko yang lebih besar tampak pada kelompok wanita postmenopause dengan besar risiko obesitas terhadap kejadian hipertensi derajat 1 sebesar 2,32 kali (95% CI 1,69-3,19). Perlu dilakukan pencegahan dan pengendalian hipertensi melalui program GERMAS dan pemaksimalan peran posbindu PTM. Masyarakat khususnya wanita perlu menerapkan pola hidup sehat dengan perilaku CERDIK sejak usia dini.
LATAR BELAKANG: Banyak faktor mempengaruhi prognosis luka bakar, data di Indonesia belum ada yang rinci. Dengan mengetahui faktor prognostik terpenting, akan dimungkinkan menetapkan penatalaksanaan yang tepat_ Perbaikan standar penatalaksana an membawa perbaikan nyata untuk menekan mortalitas.METODE: Penelitian kohort historikal menggunakan subyek penderita luka bakar rawat inap di RSCM Januari I998-Mei 2001. Semua yang memenuhi kriteria inklusi diambil. Analisis data dengan survival analysis menggunakan Cox proportional hazard untuk mencari perhitungan ketahanan hidup.HASIL: Dari 156 penderita didapat angka mortalitas 27,6%. Penderita terbanyak berusia 19 tahun, laki-laki lebih banyak 1,6 x dari perempuan. Penyebab tersering api (55,1%) dan terjadi dirurnah (72,4%). Ditemukan luka bakar terbanyak derajat 2° (76,9%) dengan Iuas terbanyak 27%, interquartile range 19-43%. Faktor prognostik terpenting dengan nilai hazard ratio (HR) dan 95% confidence interval (CI) masing-masing adalah syok-SIRS 12,05 (2,36;60,95), trombositopeni 10,78 (2,23;52,05), trauma inhalasi 5,20 (2,77;9,77), syok 4,87 (1,25;18,98) dan luas>50% 4,35 (1,22;15,59)KESIMPULAN: Penatalaksanaan resusitasi cairan yang tepat dan resusitasi jalan napas dapat menekan angka mortalitas penderita luka bakar. Trombositopeni merupakan salah satu petanda awal kemungkinan sepsis/SIRS.Prognostic factors in moderate and severe burn patients at Dr. Cipto Mangunkusumo National General Hospital Jakarta 1998-May 2001.
BACKGROUND: Several factors influence the outcome of burn injuries. Knowing the most important factors influencing the outcome of burn might be helpfull in developing new strategies for patient care. Improvement of burn patients management can reduce mortality rate.METHODS: Data from historical cohort were analyzed using Cox proportional hazard. One hundred fifty six burn patients hospitalized at Dr. Cipto Mangunkusumo National General Hospital from January 1998-May 2001 were selected consecutively according to inclusion criteria.RESULTS: From the 156 patients studied, mortality rate was 27,6%. Median patient age was 19 years , male : female ratio 1,6:1. The most common cause of thermal injury was flame (55,1%) and the majority occured at home (72,4%). Second degree burns were dominant (76,9%) with median burn size 27% Total Body Surface Area ( interquartile 19-43). The most important prognostic factors, hazard ratios and 95% confidence interval were shock with SIRS 12,05 (2,36;60,95), thrombocytopenia 10,78 (2,23;52,05), inhalation injury 5,20 (2,77;9,77), shock 4,87 (1,25;18,98) and burn size >50% 4,35 (1,22;15,59).CONCLUSIONS: Adequate fluid rescusitation and respiratory rescusitation can overcome important factors influencing burn patients outcome in order to reduce mortality rate. Thrombocytopenia can be use as an early sign of impending sepsis/SIRS.
