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Background: Coronavirus disease (COVID-19) caused by SARS-CoV 2 (Severe Acute Respiratory Syndrome) has spread worldwide and infected more than 180 million confirmed cases and 3,9 million deaths. The clinical manifestations of COVID-19 range from asymptomatic or mild infection to severe. Previous reports identified that obesity is associated with the condition of a person infected with COVID-19 develop into severe. This study aims at examining the risk of severity COVID-19 associated with obesity Methods: A cross sectional study was conducted among COVID-19 patients admitted at the University of Indonesia Hospital in 2020. Patients whose aged 18 or below or pregnant were excluded. Data were obtained from medical records. Cases were selected for the analysis only if the information was completed. There were 725 COVID-19 included for the analysis. We used adjusted PRs (and 95% CI) to estimate the risk of severity of COVID-19 associated with obesity. Results: Of 725 COVID-19 patients, 178 had severe symptoms. Patients with hypertension, diabetes, heart disease and Chronic Kidney Disease were more likely to suffer severe COVID-19 symptoms. After age, gender, diabetes and heart disease were taken into account, obesity was associated with severity of COVID-19 (PR 1.68 and 95% CI: 1,24-2.26). The severity risks COVID-19 associated with obesity were different based on gender (PRs were 1.64, 95% CI: 1,14-2,34 in men and 1.69, 95% CI: 0.99-2.88 in women) and age (PRs were 1.77, 95% CI: 1.07-2.29 among younger age and 1.48, 95% CI: 1.07-2.29 in older age group). Conclusion : Obesity increase the risk for severity of COVID-19. Maintain healthy life style, including routine exercise, choice of healthy food and routine medical checkup may reduce the risk of severity of COVID-19
Metode: Studi ini menggunakan desain kasus kontrol dengan jumlah kasus 56 pasien dan kontrol 168 pasien. Kriteria inklusi kasus adalah pasien COVID-19 berusia >18 tahun dengan gejala sedang-berat, kriteria inklusi untuk kontrol adalah pasien COVID-19 berusia >18 tahun tanpa gejala-gejala ringan. Kedua kelompok menjalani skrining/rawatan di RSUD KKM. Data ibu hamil dan data tidak lengkap tidak digunakan. Analisis data secara univariat, bivariat dengan chi square, dan multivariat dengan regresi logistik.
Hasil: Nilai RNL pasien COVID-19 dalam studi ini 0,38-7,08, dengan rata-rata RNL pada kasus 2,73 dan kontrol 1,95. Nilai cut-off RNL adalah 1,89 berdasarkan analisis ROC curve. Analisis bivariat menunjukkan RNL, usia, hipertensi, dan penyakit kardiovaskuler berhubungan signifikan dengan tingkat keparahan masing-masing dengan OR 3,29 (95% CI 1,65-6,71); 2,78 (95% CI 1,17-6,45); 3,41 (95% CI 1,56-7,35); dan 3,29 (95% CI 0,93-11,50). Analisis multivariat menunjukkan hubungan RNL dengan tingkat keparahan gejala pasien COVID-19 di RSUD KKM dengan OR 3,99 (95% CI 2,01-7,92) setelah dikontrol oleh variabel status vaksinasi dan penyakit kardiovaskuler.
Kesimpulan:Ada hubungan yang kuat antara RNL dengan tingkat keparahan gejala pasien COVID-19 di RSUD KKM. Semakin tinggi nilai RNL mengindikasikan semakin parah gejala pasien COVID-19
Background: Neutrophil-lymphocyte ratio (NLR) is a simple, inexpensive, easy laboratory examination, and is used as an indicator of the presence of systemic inflammatory responses and determinants of prognosis of patients with infections, including viruses. Increased NLR is known to be associated with the severity of a disease and can be considered an independent biomarker to indicate a poor prognosis. This study wants to prove the relationship of NLR with the severity of symptoms of COVID-19 patients in Mentawai Islands District Hospital (RSUD KKM).
Method: This study used control case design with the number of cases of 56 patients and control of 168 patients. Case inclusion criteria are COVID-19 patients aged >18 years with moderate-severe symptoms, inclusion criteria for control are COVID-19 patients aged >18 years old with no and mild symptoms. Both groups underwent screening/treatment at RSUD KKM. Pregnant women's data and incomplete data are not used. Data analysis with univariate,, bivariate with chi square, and multivariate with logistic regression.
Results: NLR value of COVID-19 patients in this study were 0.38-7.08, with an average NLR in 2.73 cases and 1.95 controls. The NLR cut-off value is 1.89 based on ROC curve analysis. Bivariate analysis showed NLR, age, hypertension, and cardiovascular disease were significantly associated with severity each with OR 3.29 (95% CI 1.65-6.71); 2.78 (95% CI 1.17-6.45); 3.41 (95% CI 1.56-7.35); and 3.29 (95% CI 0.93-11.50). Multivariate analysis showed a relationship between NLR and the severity of symptoms of COVID-19 patients in RSUD KKM with OR 3.99 (95% CI 2.01-7.92) after being controlled by variable vaccination status and cardiovascular disease.
Conclusion: There is a strong relationship between NLR and the severity of symptoms of COVID-19 patients in RSUD KKM. The higher the NLR value indicates the worse the symptoms of COVID-19 patients
Metode. Penelitian ini menggunakan desain kohort retrospektif. Populasi dalam penelitian ini yaitu pasien COVID-19 yang dirawat di RSUD Al Ihsan pada periode Maret 2020 sampai dengan 31 Desember 2021 dengan kriteria inklusi merupakan pasien konfirmasi COVID-19 melalui pemeriksaan Polymerase Chain Reaction (PCR) berusia lebih dari sama dengan 18 tahun. Perbedaan probabilitas kesintasan didapatkan dari analisis kesintasan dengan kaplan meier. Analisis Cox Proporsional Hazard digunakan untuk mengetahui hubungan diabetes melitus tipe 2 dengan kematian COVID-19.
Hasil. Sebanyak 308 pasien konfirmasi COVID-19 terlibat dalam penelitian ini. Selama 21 hari pengamatan, probabilitas kesintasan pasien COVID-19 dengan diabetes melitus tipe 2 lebih rendah dibandingkan dengan tanpa diabetes melitus tipe 2 (71,24% vs 84,13%). Sampai akhir pengamatan selama 49 hari, probabilitas kesintasan pasien COVID-19 dengan diabetes melitus tipe 2 menurun dan berbeda dengan pasien COVID-19 tanpa diabetes melitus tipe 2 yang mana probabilitas kesintasannya 48,98% vs 84,13% dengan nilai p 0,0056. Terdapat hubungan yang signifikan secara statistik antara diabetes melitus tipe 2 dengan kematian COVID-19 setelah dikontrol dengan variabel confounder yaitu umur, gejala batuk, ARDS, vaksinasi, gagal ginjal kronis, penggunaan ventilator, terapi antivirus dan persentase BOR Isolasi COVID-19 saat admisi. Hazard ratio adjusted hubungan diabetes melitus tipe 2 dengan kematian COVID-19 pada model akhir analisis multivariat sebesar 2,676 (95% IK 1,24-5,73).
Kesimpulan. Probabilitas kesintasan pasien COVID-19 dengan diabetes melitus tipe 2 lebih rendah dibandingkan dengan pasien COVID-19 tanpa diabetes melitus tipe 2.
Diabetes melitus tipe 2 meningkatkan resiko kematian pada pasien COVID-19.
Introduction. The high prevalence of diabetes in the population causes diabetes to become one of the comorbidities that many COVID-19 patients suffer from. Patients with diabetes have a higher risk of experiencing serious complications from COVID-19 and even death. This study aims to determine the difference in survival probability of COVID-19 patients with type 2 diabetes mellitus and to determine the relationship between type 2 diabetes mellitus and COVID-19 mortality at Al Ihsan Hospital, West Java Province.
Methods. This study used a retrospective cohort study design. The population of study were COVID-19 patients who were treated at Al Ihsan Hospital in the period March 2020 to December 31, 2021 with inclusion criteria being confirmed as COVID-19 patients through Polymerase Chain Reaction (PCR) examination and aged ≥ 18 years. Differences in survival probability were obtained from survival analysis with Kaplan-Meier. Cox Proportional Hazard analysis was used to determine the relationship between type 2 diabetes mellitus and COVID-19 mortality.
Results. Results indicated that a total of 308 confirmed positive COVID-19 patients were involved in this study. During the 21 days of observation, survival probability of COVID-19 patients with type 2 diabetes mellitus was lower than those without type 2 diabetes mellitus (71.24% vs. 84.13%). Until the end of the 49-day observation, survival probability of COVID-19 patients with type 2 diabetes mellitus decreased and differed from that of COVID-19 patients without type 2 diabetes mellitus which the survival probability was 48.98% vs. 84.13% (p = 0.0056). There was a statistically significant relationship between type 2 diabetes mellitus and COVID-19 mortality after controlling for confounder variables, age, cough symptoms, ARDS, vaccination, chronic kidney disease, ventilator use, antiviral therapy and the percentage of Bed Occupation Rate COVID-19 isolation at admission. The hazard ratio adjusted relationship between type 2 diabetes mellitus and COVID-19 mortality in the final model of multivariate analysis was 2,676 (95% CI 1,24-5,73).
Conclusion. It appears that survival probability of COVID-19 patients with type 2 diabetes mellitus is lower than those without type 2 diabetes mellitus. Type 2 diabetes mellitus increases the risk of death in COVID-19 patients.
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
HIV/AIDS impact to increased susceptibility to other diseases infections whichlead to death. The death of AIDS is also a problem, especially in Indonesia.According to UNAIDS, Indonesia is included in the list of countries where deathsfrom AIDS do not decline or rate of less than 25% of his descent. This research isobservational research, design with cross sectional. This research aims to know thedescription and the main factors which related to mortality of AIDS HIV/AIDS ininpatient unit RSUPN Dr Cipto Mangunkusumo in 2008-2012. The sample of thisresearch are 207 patients. Data collected by utilizing the patient's medical record datato see the independent variables consisted of gender, age, job, CD4 levels, risk factorsof transmission, the amount of illness suffered, nutritional status, history of centralnervous disorders, drug consumption history ARV consumption, and psychologicalconditions to be linked with the status of a patient's death related with HIV/AIDS.The data analysis done to multivariate analysis with prediction model. The resultsshowed that the AIDS death prevalence reach up to 28.5%. The results ofMultivariate analysis obtained 4 variables related to the death of AIDS, poornutritional status (OR=4,75) with 95% CI (2,278-9,917), central nervous disorderhistory (OR=1,82) with 95% CI (1,025-3,251), the number of illnesses suffered morethan 5 disease (OR=4,09) with 95% CI (1,854-9,043), and CD4 levels. CD4 levelsbecame the most influential factors towards AIDS deaths with a value of 5, 9 OR and95% CI (2,096-17,106). From the results can be recommended the efforts toincreased awareness toward control CD4 blood levels for HIV/AIDS patients andother supporting efforts to prevent deaths of AIDS such as improved quality ofnutrition AIDS patients, screening and early detection of central nervous disorders,and prevention of complications of the disease.Keywords: HIV/AIDS, Death, CD4 level, main determinant
