Association between prognostic nutritional index and stroke: A nationally representative cross-sectional study from NHANES

Background: The correlation between the prognostic nutritional index (PNI) and the risk of stroke has become a hot spot within the medical research community. The available evidence from a large sample regarding the correlation between PNI and stroke is inadequate. There is also a need for more research analysis from national surveys. Objective: The principal goal of this research is to improve our understanding of the relationship between PNI and the risk of stroke. This study also intends to investigate the potential synergistic influence of PNI on stroke in combination with other interacting variables. Methods: A cross-sectional study was conducted with 35,549 participants selected from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 cycle. Information was gathered from all participants regarding the following: lymphocyte count, albumin levels, stroke occurrence, age, sex, race/ethnicity, education level, poverty income ratio (PIR), marital status, body mass index (BMI), smoking habits, drinking status, physical activity measured in total metabolic equivalents (PA_total_MET), diabetes status, glycohemoglobin levels, total cholesterol, direct high-density lipoprotein cholesterol(direct HDL-cholesterol), hypertension, and coronary heart disease. Curve fitting, subgroup analysis, and multifactor weighted logistic regression analysis were used to examine the relationship between PNI and stroke. Results: The overall prevalence of stroke was found to be 3.9%, PNI quartile 4(Q4) had an increased prevalence of stroke than quartile 1, 2, and 3(Q1,2,3). Our research suggested a negative association between PNI and the risk of stroke, as indicated by the odds ratio (OR=0.98) with a 95% confidence interval (CI=0.97 similar to 0.99) and a p-value <0.05 (P=0.005), even after adjusting for all confounders. Subsequent subgroup analysis indicated a significant difference in the impact of PNI on stroke between individuals with different body mass index(BMI) levels (p for interaction = 0.02). Conclusion: Our findings underscore that lower PNI in US adults is associated with an increased stroke risk, shedding light on a potential interrelationship between nutrition, inflammatory parameters, and stroke.