Purpose. The purpose of study was to evaluate the association between prognostic nutritional index (PNI) and all-cause mortality of critically ill patients with stroke. Methods. Clinical data derived from Multiparameter Intelligent Monitoring in Intensive Care were analyzed. The primary endpoint was 30-day all-cause mortality; secondary endpoints were 90-day mortality and one-year cause mortality. The potential prognostic roles of PNI were analyzed by Cox proportional hazard models. The independent prognostic roles of PNI in the cases were analyzed by smooth curve fitting. Results. Concerning 30-day mortality, the HR (95% CI) for a high PNI (≥39.7) was 0.700 (0.544, 0.900; P = 0.00539 ), compared to a low PNI (<39.7). After adjusting for multiple confounders, the HR (95% CI) for a high PNI (≥39.7) was 0.732 (0.547, 0.978; P = 0.03514 ), compared to a low PNI (<39.7). Regarding 90-day and one-year mortality, a similar trend was observed. In addition, a nonlinear association between PNI and 30-day mortality was found. Using recursive algorithm and two-piecewise linear regression model, inflection point (IP) was calculated, which was 49.4. On the right side of the IP, there was a positive relationship between PNI and 30-day mortality, and the effect size, 95% CI, and P value were 1.04 (1.01, 1.07), P = 0.0429 , respectively. On the left of the IP, the effect size, 95% CI, and P value were 0.97 (0.96, 0.99) and 0.0011, respectively. Conclusions. The PNI was an independent predicting factor of 30-day, 90-day, and 1-year mortality of the critically ill patients with stroke. In addition, there was a U-shaped relationship between PNI and all-cause mortality of stroke patients. PNI was a risk factor for the outcome of stroke when PNI was >49.4, while PNI was a protective factor for outcome of stroke when PNI was <49.4.
Background Inflammatory bowel disease (IBD) and its main subtypes, including Crohn's disease (CD) and ulcerative colitis (UC), have been suggested to be linked with chronic obstructive pulmonary disease (COPD) progression, but the potential bidirectional causal association between them remains unclear. Methods We drew on summary statistics from the large-scale genome-wide association studies and adopted the inverse variance weighting (IVW)method as the main mendelian randomization analysis method to estimate the causal effect. Results There was no evidence support that COPD was associated with increased risk of IBD and two main subtypes (UC and CD) (IBD: odds ratio (OR) [95% confidence interval (CI)] = 0.99[0.90–1.09], P = 8.63×10− 1; UC: OR [95% CI] = 0.96[0.86–1.07], P = 4.70×10− 1; CD: OR [95% CI] = 1.10[0.89–1.35], P = 3.81×10− 1;). The IVW method provided evidence for a negative causal effect of IBD and two main subtypes (UC and CD) on COPD (IBD: OR [95% CI] = 0.93[0.89–0.97], P = 4.86×10− 4; UC: OR [95% CI] = 0.94[0.90–0.98], P = 6.57×10− 3; CD: OR [95% CI] = 0.96[0.94–0.99], P = 4.92×10− 3). The results of the sensitivity analyses were robust and no evidence of heterogeneity and horizontal pleiotropy was observed. Conclusions The present study showed that COPD does not affect IBD, but IBD and its main subtypes (UC and CD) have a negative causal effect on COPD. And understanding the confounding factors that affect clinical research will help the clinical treatment and management of the two diseases.
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