Artaria Tjempakasari, Artaria
Tropical and Infectious Disease Division - Department of Internal Medicine, Dr. Soetomo General Hospital - Faculty of Medicine Universitas Ailangga, Surabaya, Indonesia

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BACTERIA CAUSED SEPSIS BIOMARKERS

Indonesian Journal of Tropical and Infectious Disease Vol 5, No 3 (2014)
Publisher : Institute of Topical Disease

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Abstract

Sepsis is a clinical condition of patients with serious infections that show a systemic inflammatory response, with or without a positive blood culture. sepsis is one of the most frequent causes of death in patients in intensive care units. We are at urgent need for biomarkers and reliable measurements that can be applied to risk stratification of septic patients and that would easily identify those patients at the highest risk of a poor outcome. Such markers would be of fundamental importance to decision making for early intervention therapy. Pro-inflammatory cytokines such as tumor necrosis factor- (TNF- ), interleukins-1,-6,-8 (IL-1, IL-6, IL-8) are postulated to play a major role in the pathogenesis of the syndrome. C-reactive protein (CRP) and procalcitonin (PCT) are among a few biomarkers thatincorporated into clinical practice although their precise role in the pathopysiology of sepsis and organ dysfunction still unclear.

BACTERIA CAUSED SEPSIS BIOMARKERS

Indonesian Journal of Tropical and Infectious Disease Vol 5, No 3 (2014)
Publisher : Institute of Topical Disease

Show Abstract | Original Source | Check in Google Scholar

Abstract

Sepsis is a clinical condition of patients with serious infections that show a systemic inflammatory response, with or without a positive blood culture. sepsis is one of the most frequent causes of death in patients in intensive care units. We are at urgent need for biomarkers and reliable measurements that can be applied to risk stratification of septic patients and that would easily identify those patients at the highest risk of a poor outcome. Such markers would be of fundamental importance to decision making for early intervention therapy. Pro-inflammatory cytokines such as tumor necrosis factor- (TNF- ), interleukins-1,-6,-8 (IL-1, IL-6, IL-8) are postulated to play a major role in the pathogenesis of the syndrome. C-reactive protein (CRP) and procalcitonin (PCT) are among a few biomarkers thatincorporated into clinical practice although their precise role in the pathopysiology of sepsis and organ dysfunction still unclear.

Risk Factors for New-Onset Diabetes After Transpant in Kidney Transplant Recipients

Indonesian Journal of Kidney and Hypertension Vol 2 No 1 (2019): January - April 2019
Publisher : PERNEFRI (PERHIMPUNAN NEFROLOGI INDONESIA)

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Abstract

Background New-onset diabetes after transplant (NODAT) is one of the metabolic complications of kidney transplant surgery. The incident of NODAT varies highly, from 5% up to 53%. Some factors increase the risk for NODAT, such as age, gender, immunosuppressant drugs, among others. The progressivity of NODAT leads to increased cardiovascular risks, making the identification of risk factors crucial. Method Medical records of 56 patients who have undergone kidney transplant throughout 1998 - 2015 were evaluated. Data obtained from the records include age, gender, history of hypertension, dyslipidemia, the use of calcineurin inhibitors (CNI), and familial history of diabetes. Bivariate analysis with crosstabs (for nominal data) was used to analyze the data, with a threshold of p < 0.25 and followed up with multivariate analysis using logistic regression. Result The mean age of subjects was 53.85±12.92 years, with 80.4% of the subjects were male. Pre-transplant hypertension was 46.4%. The CNI used were tacrolimus in 46.4% and cyclosporine in 53.6% of patients. Around 25% of patients have a familial history of diabetes and the mean triglyceride level was 165.83±77.5 mg/dl. NODAT occurred in 18 patients and the majority of occurrence happened in the first year post-transplant. Bivariate analysis shows no significant risk factors, however clinically significant risk factors were gender (male), the CNI drug used (tacrolimus), and familial history of diabetes. Further multivariate analysis showed OR for gender (male) with OR 6.532 (0.735- 58.051), age with OR 5.249 (0.658-41.853)}, and the use of tacrolimus with OR 3.217 (0.895-11.571). Conclusion In this study, the clinically significant risk factors for NODAT were male gender, age, and the use of tacrolimus. However, these risk factors did not show statistical significance. Further study with bigger sample size is needed.