ABSTRACT
Purpose: To explore the correlation between hemoglobin, albumin, lymphocyte count, platelet count (HALP) score and type 2 diabetic retinopathy (DR). Methods: The study was conducted on 674 patients with type 2 diabetes (T2DM). According to the results of the fundus examination, they were divided into non-diabetic retinopathy group (NDR, n=388) and diabetic retinopathy group (DR, n=286). Collected patients baseline data, calculated HALP score, analyzed the correlation between HALP score and DR. Results: In all patients, male patients and female patients, the HALP score of the DR group was lower than that of the NDR group (P<0.001), and the HALP score was negatively correlated with the incidence of DR (P<0.05). HALP score was independent risk factors for DR, regardless of gender. In male patients, HALP score and DR had a linear relationship, but in female patients, HALP score and DR showed a nonlinear relationship, and HALP score was more sensitive to the onset of DR in male patients. The combined diagnostic model of HALP score, course of disease, SBP and BUN was used to diagnose DR, and it was found that the diagnostic value was the highest among male patients, with AUC of 0.761, sensitivity of 58.3% and specificity of 80.3%. Conclusion: HALP score was an independent risk factor for DR, attention should be paid to monitoring HALP score, especially in male T2DM patients. The accuracy of HALP score, disease course, SBP and BUN combined model diagnosis of DR was high, which can become a biological indicator for early screening of DR.
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Background: The objective of this investigation was to explore the health status and epidemiological features of civil servants working in Hebei Province, China. Methods: Data was collected through a cross-sectional survey that involved 50,039 adult civil servants in Hebei Province. The research was conducted at the Hebei Provincial Medical Examination Centre and included inquiries about demographics, health behaviours, chronic illnesses, and abnormal check-up indicators. Statistical data were used to determine the prevalence of chronic diseases and abnormal health examination indicators. Subgroup analyses by sex were then conducted to calculate the similarities and differences in health status between men and women. Results: The findings of the survey indicate that 14.2% of individuals who work in civil service suffer from obesity. Additionally, a considerable proportion of this group display poor health behaviours, including smoking and alcohol consumption. Hypertension (21.03%), dyslipidaemia (10.88%), and diabetes mellitus (8.56%) were identified as the top three chronic diseases, while cardiovascular diseases were prevalent at 6.27% among civil servants. Ultrasound showed a high prevalence of fatty liver, non-smooth gallbladder and liver cysts (44.61%, 33.24% and 23.26% respectively). The occurrence of pulmonary nodules was alarmingly high at 88.48%, while thyroid nodules were found in as much as 62.65% of patients. Abnormal E/A values≤1, prostate hyperplasia, breast nodules, and carotid plaques were also prevalent, with percentages ranging from 46.76% to 63.04%. In subgroup analyses by gender, the prevalence of chronic diseases and abnormal screening indicators was consistently higher in men than in women, with the exception of thyroid nodules and thyroid surgery. Conclusion: The survey revealed a large proportion of civil servants in Hebei Province, China, suffering from chronic diseases, underscoring the necessity for enhanced attention to chronic disease prevention and management in this group and emphasising the requirement for focused interventions aimed at improving health outcomes.
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BACKGROUND: Drug-induced delirium is known risk factors associated with increased morbidity and mortality in older patients. The objective was to evaluate the risk of drug-related delirium in older patients based on the FDA Adverse Event Reporting System (FAERS). RESEARCH DESIGN AND METHODS: Delirium reports in older patients (age ≥65) extracted from the FAERS database using Open Vigil 2.1. The reported odds ratio and the proportional reported ratio were calculated to detect the adverse reaction signal of delirium. Combined with published evidence, suspected drugs were categorized as known, possible, or new potential delirium-risk-increasing drugs. RESULTS: Of the 130,885 reports (including 28,850 delirium events and 1,857 drugs) analyzed for this study, 314 positive signal drugs were detected. Positive signal drugs are mainly concentrated on the drug of nervous system, cardiovascular system , alimentary tract and metabolism and anti-infectives for systemic use. Of the positive signal drugs, 26.11% (82/314) were known delirium-risk increasing drugs, 44.90% (141/314) were possible and 28.98% (91/314) were new potential. CONCLUSION: Drug-induced delirium risk is prevalent in older patients, according to the FAERS. The risk level of drug-induced delirium should be taken into account to optimize drug therapy in clinical practice.
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Purpose: Systemic immune inflammation index (SII), systemic inflammatory response index (SIRI) are new inflammation indicators calculated after integrating multiple indicators in blood routine. This study aims to investigate the correlation between the SII, SIRI and type 2 diabetic retinopathy (T2DR) and the diagnostic significance of these indices in T2DR. Patients and Methods: A retrospective analysis involved 500 patients diagnosed with type 2 diabetes (T2DM), categorized into two groups based on fundus examination results: the non-diabetic retinopathy group (NDR, n=256) and the diabetic retinopathy group (DR, n=244). We calculated SII and SIRI, and analyzed their associations with T2DR. Results: The DR group exhibited significantly higher SII and SIRI values compared to the NDR group (P<0.001). Mantel-Haenszel's chi-square trend analysis revealed a notable linear trend (P<0.001) between SII, SIRI, and DR. SII and SIRI exhibited moderate positive correlations with DR, (r=0.354, P<0.001; r=0.469, P<0.001), respectively. Binary logistic regression analysis identified SII and SIRI as independent risk factors for DR. Restrictive cubic spline analysis demonstrated a significant linear relationship between SII and DR (P total trend <0.001, P nonlinear = 0.0657). Stratification by gender indicated that SII is more sensitive to the onset of DR in men. A significant nonlinear relationship was observed between SIRI and DR (P total trend <0.001, P nonlinear = 0.0025), with no gender-related differences in SIRI's association with DR. ROC curve analysis demonstrated that the combined use of SII and SIRI achieved the highest diagnostic accuracy for DR, with an AUC of 0.782, 74.6% sensitivity, and 69.9% specificity. Conclusion: Our findings suggested that SII and SIRI as independent risk factors for DR. The high accuracy of SII combined with SIRI in diagnosing DR underscores their potential as early biological indicators for DR diagnosis.
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Objectives: As fall events and injuries have become a growing public health problem in older patients and the causes of falls are complex, there is an emerging need to identify the risk of drug-induced falls. Methods: To mine and analyze the risk signals of drug-induced falls in older patients to provide evidence for drug safety. The FDA Adverse Event Reporting System was used to collect drug-induced fall events among older patients. Disproportionality analyses of odds ratio (ROR) and proportional reported ratio were performed to detect the adverse effects signal. Results: A total of 208,849 reports (34,840 fall events and 1,898 drugs) were considered. The average age of the included patients was 76.95 ± 7.60 years, and there were more females (64.47%) than males. A total of 258 drugs with positive signals were detected to be associated with drug-induced fall incidence in older patients. The neurological drugs (104, 44.1%) with the largest number of positive detected signals mainly included antipsychotics, antidepressants, antiparkinsonian drugs, central nervous system drugs, anticonvulsants and hypnotic sedatives. Other systems mainly included the circulatory system (25, 10.6%), digestive system (15, 6.4%), and motor system (12, 5.1%). Conclusion: Many drugs were associated with a high risk of falls in older patients. The drug is one of the critical and preventable factors for fall control, and the risk level of drug-induced falls should be considered to optimize drug therapy in clinical practice.
