Objective:To explore the predictive ability of systemic immune-inflammation index（SII）and prognostic nutrition index（PNI）for early-onset sepsis in preterm infants.Methods:Seventy preterm infants of 28 to 32 weeks，who were born in the Affiliated Hospital of Xuzhou Medical University from January 2019 to December 2022, and transferred to neonatal intensive care unit within 1 h conforming to EOS diagnostic criteria were selected as the EOS group，and 1∶1 matched non-infected preterm infants hospitalized during the same period were selected as control group.Relevant data were collected to compare the differences regarding clinical data，blood routine indicators，C-reactive protein（CRP），serum albumin levels（ALB），SII and PNI between two groups.The ability of SII and PNI to predict EOS was evaluated by Logistic regression analysis and receiver operating characteristic（ROC）curve.Results:Compared with control group,the EOS group had lower 1-minute and 5-minute Apgar scores,higher rates of cesarean section delivery and tracheal intubation,as well as higher rates of suppurative meningitis,bronchopulmonary dysplasia,retinopathy of prematurity and intracranial hemorrhage.The levels of blood routine parameters,ALB,SII and PNI in the EOS group were lower than those in control group,while CRP was increased.The differences were all statistically significant（ P<0.05）.Multivariate Logistic regression analysis showed that tracheal intubation，CRP，SII and PNI were independently influential factors of EOS（ P<0.05）.ROC curve analysis showed that the areas under curve of SII，PNI，CRP and SII combined with PNI were 0.808（95% CI 0.730-0.886），0.792（95% CI 0.718-0.865），0.633（95% CI 0.541-0.725）and 0.866（95% CI 0.803-0.929），the sensitivity were 74.3%，64.3%，42.9%，78.6%，and the specificity were 88.6%，82.9%，81.4%，90.0%,respectively.The cut-off values of SII，PNI and CRP were 221.36，38.65 and 0.80 mg/L,respectively. Conclusion:SII and PNI have a certain predictive value for EOS in preterm infants，and their combined diagnosis efficiency is more stronger.

Objective: Sex differences have been observed in many aspects of schizophrenia, including cognitive deficits. Despite extensive research into the relationship between metabolic factors and cognitive deficits in schizophrenia, few studies have explored the potential sex difference in their association. Methods: We recruited 358 schizophrenia patients and 231 healthy controls. The participants underwent measurements of body mass index (BMI), waist circumference, blood pressure, triglycerides, high-density lipoprotein cholesterol, and fasting blood glucose. Metabolic risk factors included abdominal obesity, hypertension, hyperglycemia, and dyslipidemia. A collection of these metabolic risk factors has been defined as metabolic syndrome. These diagnoses were based on the criteria of the National Cholesterol Education Program’s Adult Treatment Panel III. Cognitive performance was measured using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). A descriptive analysis, difference analysis, and linear regression model were used to identify the metabolic risk factors for cognitive function in schizophrenia. Results: Our findings revealed sex differences in the rate of abdominal obesity and hypertension in schizophrenic patients. Additionally, we observed sex differences in the association between metabolic risk factors and cognitive impairment in schizophrenia. Specifically, hyperglycemia was associated with the immediate memory index score of RBANS in male patients, while dyslipidemia was associated with language, attention, delayed memory index scores, and RBANS total score in female patients. Conclusion Our results suggest that sex should be considered when evaluating the impact of metabolic disorders on the cognitive function of schizophrenic patients. Moreover, our study identifies hyperglycemia and dyslipidemia as potential targets for precise treatment by sex stratification, which could benefit the improvement of cognitive impairment in schizophrenic patients.