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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
Ischemic stroke ranks first on the list of 10 most diseases at the National Brain Center Hospital (RSPON) in 2016-2017. This study aims to determine the probability of one-year survival of ischemic stroke patients admitted to RSPON in 2016-2017 based on the initial treatment phase and the severity of the disease. The design of this study was a retrospective cohort. The population of this study was ischemic stroke patients admitted to RSPON for the period of January 1, 2016, until December 31, 2017. A total of 232 patients were selected by observing the inclusion and exclusion criteria. The results showed that the probability of one-year survival of ischemic stroke patients at RSPON was 58.2%. Multiple cox regression showed that after being controlled by heart disease status, patients with life-threatening disease severity had a risk of experiencing 4,484 deaths compared to patients with no symptoms of stroke
ABSTRAK Nama : Ikke Yuniherlina NPM : 1506704434 Program Studi : Epidemiologi Komunitas Judul : Faktor-faktor yang berhubungan dengan keparahan DBD pada pasien studi demam akut di delapan rumah sakit di Indonesia Manifestasi klinis demam berdarah dengue (DBD) masih menjadi permasalahan dalam kesehatan masyarakat di Indonesia. Berdasarkan derajat keparahan DBD menurut kritera WHO 2011 terbagi atas DBD derajat I, DBD derajat II, DBD derajat III, dan DBD derajat IV. Di Indonesia insiden DBD meningkat walaupun angka kematiannya menurun, untuk itu penelitian ini bertujuan meneliti faktor-faktor yang berhubungan dengan keparahan DBD, dimana DBD derajat II, III, dan IV dikategorikan sebagai DBD parah. Penelitian cross-sectional yang menggunakan data sekunder dari studi etiologi demam akut dari delapan rumah sakit di Indonesia, didapatkan proporsi keparahan DBD sebesar 43,3%. Faktor-faktor yang berhubungan dengan keparahan DBD didapatkan faktor jenis serotipe virus DENV-2 (OR = 3,06 95%CI 1,43 – 6,55), DENV-3 (OR = 2,62 95% CI 1,33 – 5,15), faktor lama demam (OR = 1,91 95%CI 1,09 – 3,35), dan faktor jumlah leukosit (OR = 1,79 95%CI 1,02 – 3,16). Skoring didapatkan sebesar 67% kemampuan untuk memprediksi keparahan. Kata kunci: keparahan, demam berdarah dengue, faktor-faktor
ABSTRACT Name : Ikke Yuniherlina NPM : 1506704434 Study Program : Epidemiology Title : Prognostic factors associated with dengue hemorrhagic fever severity of the acute fibril illness study patients in eight hospitals in Indonesia Dengue hemorrhagic fever (DHF) as a clinical manifestasion of dengue infection remains a public health problem in Indonesia. According to WHO, DHF severity grade was divided into DHF I, DHF II, DHF III and DHF IV. In Indonesia, the incidence of DHF increased eventhough the mortality rate decreased. Therefore, the study aims to examine prognostic factors related to the severity of DHF, with the category of severe DHF is including DHF II, DHF III and DHF IV. This cross-sectional study using secondary data from the Acute Febrile Illness Etiology Study of eight Hospitals in Indonesia. The result as follow, the proportion of severe DHF category is 43.3%, the prognostic factors associated with DHF severity are DENV serotype (DENV-2, OR = 3.06 95% CI 1.43 - 6.55; DENV-3, OR = 2.62 95% CI 1.33 - 5.15), day of illness (OR = 1.91 95% CI 1.09 - 3.35), and leucocyte count (OR = 1.79 95% CI 1.02 - 3.16). The scoring with contributing of DENV serotype, day of illness, and leucocyte count as prognostic factors, has only 67% ability to predict DHF severity. Keywords: severity, dengue hemorrhagic fever, prognostic factors
Penelitian deskriptif kuantitatif dengan disain Cross Sectional Survey mengenai Studi Persepsi tentang Penyakit Kardiovaskular dan Upaya Pencegahannya pada karyawan XY, menggunakan konsep Health Belief Model, meneliti persepsi kerentanan (perceived susceptibility), persepsi keparahan (perceived severity), persepsi manfaat (perceived benefit), persepsi hambatan (perceived barrier) dan pengetahuan sebagai salah satu modifying factor. Rendahnya persepsi kerentanan karyawan dapat menjadi alasan ketidak aktifannya dalam berolahraga. Dari perhitungan statistik dengan korelasi spearman,terdapat korelasi yang bermakna antara persepsi hambatan dengan perilaku karyawan untuk berolahraga dengan p = 0.002 dan r = -0.297.
Quantitative descriptive study with cross-sectional survey design of the study and the Perception of the Cardiovascular Disease Prevention Efforts in XY employees, using the concept of Health belief model, examines perceived susceptibilit), perceived severity , perceived benefits ,perceived barriers and knowledge as a modifying factor. The low perception of susceptibility of employees can be a reason for the lack of exercise ( Physical Inactive ). Of statistical calculations with Spearman correlation, there is a significant correlation between perceived barrier to exercise behavior of employees with p = 0.002 and r = -0297.
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
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
Background: There have been four times of Influenza pandemic with high transmission, high morbidity and mortality in history. Up to the end of 2016 there were 11% of Influenza positive cases in Indonesia. Influenza severity in Severe Acute Respiratory Infections (SARI) is unknown. Objectives: This study aims to determine the severity of Influenza based on secondary data of Influenza surveillance at Sentinel Hospital in East Jakarta 2011-2014 Ministry of Health RI. Method: This study used cross sectional study design using secondary data of Influenza surveillance at 6 (six) Sentinel hospitals in East Jakarta from September 2011 to August 2014. Respondents coming from inpatients with positive Influenza by RT-PCR in sentinel hospital. Severity assessed by length of stay (>4 days), admission to HCU/ICU chambers and use of mechanical ventilators. Independent variables in this research were age, sex, occupation, respiratory disease, chronic disease, contact household with fever and cough/sore throat, time to seek treatment, cigarette status, season and type of Influenza. The analysis used Cox Regression to estimates Prevalence Ratio (PR). Results: There were 571 cases of positive Influenza with 259 Severe Influenza and 312 Moderate Influenza. The results of a multivariate analysis using Cox Regression analysis revealed that risk factors associated with severe influenza ≥65 years had Prevalence Ratio of 1,63 times (p value = 0,025, 95% CI = 1,065-2,506) had Severe Influenza than in 5-64 years. In addition, other risk factors were affected by Influenza during the rainy season (PR = 1.59, 95% CI = 1,061-2,398) and treatment time ≤3 days (PR = 1,43; 95% CI = 1,121-1,841). Conclusion: This study concluded that factors associated with Influenza severity in SARI patients at Sentinel hospital in East Jakarta were age, season and time to seek treatment. Keywords: Influenza severity, risk factor, SARI, sentinel hospital.
