Prevalence and predictive factors of urinary tract infection among patients with stroke: A meta-analysis.

BACKGROUND: Urinary tract infection (UTI) is thought to be a common complication of stroke and is regarded as a potential risk factor for poor stroke outcomes. However, there is a controversy among predictive factors of stroke-associated UTIs. We aim to estimate the prevalence and predisposing factors of UTIs among patients with stroke. METHODS: PubMed, EMBASE, and Elsevier Science Direct were searched by 2 independent researchers. Sixteen studies with a total of 13,513 patients were included to evaluate the prevalence and predictive factors of stroke-associated UTIs published from the earliest records to March 10, 2017. Pooled effect sizes were calculated using the fixed effect model or random effect model according to I2 and P values. RESULTS: The pooled prevalence of UTI was 19.0% (95% confidence interval [CI], 15%-22%; P <.01). The predisposing factors for UTIs include female sex (odds ratio [OR], 1.93; 95% CI, 1.55-2.41), older age (OR, 1.28; 95% CI, 1.09-1.50), higher modified Rankin Scale score (OR, 1.90; 95% CI, 1.43-2.53), and postvoid residual volume >100 mL (OR, 3.69; 95% CI, 2.09-6.52). CONCLUSIONS: Approximately one-fifth of patients with stroke contracted at least 1 UTI after cerebral apoplexy. Female sex, older age, higher modified Rankin Scale score, and postvoid residual volume >100 mL were associated with higher risk of UTI.

Hospital-acquired lower respiratory tract infections among high risk hospitalized patients in a tertiary care teaching hospital in China: An economic burden analysis.

BACKGROUND: Data on the economic burden of hospital-acquired lower respiratory tract infection (LRTI) among high risk hospitalized patients are lacking in China. This study aims to fill this knowledge gap. METHODS: We used a prospective matched cohort design, comparing patients with LRTIs and 1:1 matched patients without LRTIs. Study period was from January 2013 to December 2015 analyzing inpatients from high risk wards - intensive care unit (ICU), dialysis, hematology, etc. - in a tertiary hospital. Hospital information system and hospital infection surveillance system were applied to extract necessary information. The primary outcome was incidence of hospital-acquired LRTIs, and the secondary was economic burden outcomes, including incremental medical costs and prolonged length of stay (LOS). Wilcoxon's signed rank test was used to explore the differences in the economic burden. RESULTS: Among 5990 hospital visitors over the period of time, 895 (14.94%) had hospital-acquired LRTIs. We analyzed 340 patients with LRTIs and 340 respective controls without infections. The median hospital costs for patients with ICU-acquired LRTIs were significantly higher than those without LRTIs in other wards ($12,301.17 vs. $4674.64, P<0.01). The average attributable cost per patient was $2853.93 ($6916.48 vs. $4062.55, P<0.01). Patients from hematology department had the longest LOS, at 15days (25days vs. 10 days, P<0.01). An LRTI led to an attributable increase in LOS by 8days on average (P<0.01). Western medicine, treatment and laboratory test were the dominant contributors to the growth in overall medical costs in hospital-acquired LRTIs. CONCLUSIONS: Hospital-acquired LRTI imposed considerable economic burden on patients hospitalized in high risk wards in China. This study provides the first data for economic evaluation of LRTI, highlighting the urgent need to establish targeted preventive strategies to minimize the occurrence of this complication to reduce economic burden.

Nosocomial infections among acute leukemia patients in China: An economic burden analysis.

BACKGROUND: The economic burden associated nosocomial infections (NIs) in patients with acute leukemia (AL) in China was unclear. A prospective study was conducted to quantify the medical cost burden of NIs among AL patients. METHODS: Nine hundred ninety-four patients diagnosed with AL between January 2011 and December 2013 were included. Relevant necessary information was extracted from the hospital information system and hospital infection surveillance system. The primary outcome was incidence of NIs and the secondary was economic burden results, including extra medical costs and prolonged length of stay (LOS). We estimated the total incremental cost of NIs by comparing all-cause health care costs in patients with versus without infections. Prolonged duration of stay was compared in patients with different infections. RESULTS: Of 994 patients with AL, 277 (27.9%) experienced NIs. NI was associated with a total incremental cost of $3,092 per patient ($5,227 vs $2,135; P < .01) and infected patients experienced a longer LOS (21 vs 10 days; P < .01). Patients with multisite infection had the highest total medical cost ($8,474.90 vs $2,209.90; P < .01) and the longest LOS (25 vs 15 days; P < .01). Western medicine was the main contributor to the rise of total cost in all kinds of infections. CONCLUSIONS: NI was associated with higher medical costs, which imposed an economic burden on patients with AL. The study highlights the influence of NIs on LOS and health care costs and appeal to the establishment of prophylactic measures for NIs to reduce the unnecessary waste of medical resources in the long run.