Periprosthetic joint infection (PJI) represents a significant obstacle within the realm of orthopedic procedures. Certain medical conditions, such as benign prostatic hyperplasia (BPH) which causes blockages in the lower urinary system, have been suggested as potential PJI contributing factors. Nevertheless, the available evidence remains inconclusive regarding these associations. For enhancing treatment strategies and ultimately improving results achieved by individuals receiving care, gaining a better understanding of these relationships is imperative. All in accordance with the PRISMA 2020 guidelines, an indepth analysis was conducted utilizing structured and methodical review techniques, involving manual searches as well as databases like PubMed, EBSCO, and ProQuest. This review specifically included studies that provided information on both BPH and PJI. Through a meta-analytical approach, the data evaluation was conducted employing a random-effects framework. This process was facilitated by the use of Comprehensive Meta-Analysis software, version 3. Five research articles were analyzed, collectively revealing no meaningful correlation between BPH and an elevated likelihood of PJI, as indicated by the odds ratio (OR 1.228, 95% confidence interval [CI] 0.914-1.649, P=0.172). Moreover, no significant associations were yielded through further analyses for BPH studies for either total hip arthroplasty (OR 1.138, 95% CI 0.793-1.635, P=0.483) or total knee arthroplasty (OR 2.429, 95% CI 0.240-24.584, P=0.452) surgery. No association was substantiated between BPH and the incidence of PJI. It is possible that other factors, such as infections which are more likely to occur in individuals with BPH, could influence PJI rates.

Introduction: This study aimed to evaluate the prevalence of frailty and its determinants, especially in relation to chronic disease and lifestyle among elderly individuals. Methods: A cross-sectional study was conducted among 278 individuals aged 60 years and over living in Jakarta. All participants underwent assessment, including medical history-taking, physical examination and blood tests for the sugar level and lipid profile. Frailty was assessed using the Frailty Instrument for Primary Care of the Survey of Health, Ageing and Retirement in Europe. All data were analysed using the chi-square test and multinomial logistic regression analysis. Results: The prevalence of pre-frailty and frailty among the older adults was 40.6% and 28.8%, respectively. Female sex, lack of exercise, presence of cardiovascular diseases and high low-density lipoprotein cholesterol (LDL-C) level were associated with pre-frailty and frailty. Education for <9 years was associated only with frailty. After adjustments for all covariates, female sex (adjusted odds ratio [AOR]=1.96, 95% confidence interval [CI]=1.07–3.60; AOR=3.93, 95% CI=1.87–8.24), lack of exercise (AOR=14.81, 95% CI=5.07–43.26; AOR=49.48, 95% CI=16.20–151.09) and presence of cardiovascular diseases (AOR=5.32, 95% CI=1.40–19.20; AOR=6.06, 95% CI=1.63–22.56) were associated with pre-frailty and frailty. Meanwhile, education for <9 years (AOR=1.97, 95% CI=1.05–3.69) and high LDL-C level (AOR=3.52, 95% CI=1.14–10.88) were associated with frailty. Conclusion Exercise, early screening and intervention for cardiovascular diseases and maintenance of lower LDL-C levels may prevent and slow the progression of frailty.
Frailty ; Aged ; Aging ; Cardiovascular Diseases ; Exercise ; Indonesia