International Journal of General Medicine最新文献

Objective: The study aimed to explore the clinical diagnostic significance of lipoprotein(a) [Lp(a)] and neck circumference (NC) in patients with coronary heart disease (CHD).

Methods: This cross-sectional study was conducted at Chengde Central Hospital from September 2021 to June 2023, enrolling 791 patients with suspected CHD who underwent selective coronary angiography (CAG). Patients were categorized into CHD and non-CHD groups based on the severity of arterial narrowing. Subsequently, the diagnostic value of Lp(a) combined with NC in patients with CHD was assessed using receiver operating characteristic (ROC) curves. Based on the results of multivariate logistic regression, a nomogram was constructed, and its clinical applicability was validated using decision curve analysis (DCA) and clinical impact curve (CIC).

Results: Multivariate logistic regression proved that high Lp(a) and high NC are risk factors for CHD, with OR of 1.836 (95% CI: 1.282-2.630) and 1.383 (1.0.978-1.955), respectively. Patients in the high NC or Lp(a) group exhibited a higher prevalence of multi-vessel disease. The area under the ROC curve (AUC) of the predictive model combining high Lp(a) and high NC was 0.710 (95% CI: 0.670-0.751) and also demonstrated good calibration (Hosmer-Lemeshow goodness-of-fit test P value=0.494). The DCA and CIC confirmed the clinical utility of the nomogram developed to predict CHD based on the combination of high Lp(a) and high NC.

Conclusion: The levels of Lp(a) and NC exhibit a significant correlation with the presence of CHD, and their combined assessment holds specific clinical value in the diagnosis of CHD.

Purpose: Acute stroke significantly increases the risk of long-term care facility (LTCF) admission, due to sudden functional impairments. This study aims to identify risk factors associated with LTCF admission among stroke patients, specifically targeting those who transitioned from independence to disability after stroke.

Patients and methods: We retrospectively enrolled 2027 stroke patients admitted between 2017 and 2022 from the Chi Mei Medical Center's stroke registry in Southern Taiwan, focusing on those with pre-stroke modified Rankin Scale (mRS) scores ≤ 2 and post-stroke mRS scores ≥ 3. Patients were categorized into LTCF and non-LTCF groups. Stroke severity, comorbidities, and discharge outcomes were evaluated, using logistic regression analyses to identify LTCF admission risk factors.

Results: Of the 2027 patients, 343 (16.9%) were admitted to LTCFs post-discharge. The LTCF group exhibited higher discharge mRS and National Institute of Health Stroke Scale scores, and lower Barthel Index scores. Factors linked to LTCF admission included higher discharge mRS scores, lower Barthel Index scores, nasogastric tube placement at discharge, and longer hospital stays. Barthel Index scores showed no significant change from admission to discharge in the LTCF group.

Conclusion: Stroke severity, post-stroke functional status and nasogastric tube placement are significant predictors of LTCF admission in stroke patients. Early recognition of these factors is crucial for effective discharge planning and reducing the need for institutionalization. The study emphasizes the need for personalized interventions targeting these risk factors to improve patient outcomes and optimize medical resource utilization.

Purpose: To explore the relationship between hyperlipidemia and full-frequency idiopathic sudden sensorineural hearing loss (FFHL).

Patients and methods: A total of 145 FFHL patients admitted from September 2021 to May 2024 were analyzed. Eighty-five patients with hyperlipidemia and 60 patients with normal serum lipids statistically analyze the patient's gender, age, onset time, accompanying symptoms, and serum lipids. Measure the pure tone hearing threshold before and after treatment, and calculate the average increase in hearing threshold. Compare the correlation between various factors and prognosis.

Results: The hyperlipidemia group had a higher proportion of males (P=0.043) and vertigo (P=0.044) compared to the control group, while other information between the two groups lacked statistical significance. Effective patients (n=44) in the hyperlipidemia group showed significant differences in vertigo (P=0.020), age (P=0.032), and onset (P=0.030) compared to ineffective patients (n=41). Analysis showed that these were independent correlated factors affecting prognosis. Other indicators, including serum lipids, have no significance in predicting the prognosis of patients with hyperlipidemia and complete frequency decline in hearing loss.

Conclusion: Patients with hyperlipidemia have higher rates of males and vertigo. The age, onset, and vertigo of patients with hyperlipidemia are related to prognosis, while various lipid indicators are not related to the prognosis of sudden hearing loss.

Purpose: The reappearance of gastric cancer, a frequent postoperative complication following radical gastric cancer surgery, substantially impacts the near-term and far-reaching medical outlook of patients. The objective of this research was to create a machine learning algorithm that could recognize high-risk factors for gastric cancer recurrence and anticipate the correlation between gastric cancer recurrence and Helicobacter pylori (H. pylori) infection.

Patients and methods: This investigation comprised 1234 patients diagnosed with gastric cancer, and 37 characteristic variables were obtained. Four machine learning algorithms, namely, extreme gradient boosting (XGBoost), random forest (RF), k-nearest neighbor algorithm (KNN), and multilayer perceptron (MLP), were implemented to develop the models. The k-fold cross-validation technique was utilized to perform internal validation of the four models, while independent datasets were employed for external validation of the models.

Results: In contrast to the other machine learning models, the XGBoost algorithm demonstrated superior predictive ability regarding high-risk factors for gastric cancer recurrence. The outcomes of Shapley additive explanation (SHAP) analysis revealed that tumor invasion depth, tumor lymph node metastasis, H. pylori infection, postoperative carcinoembryonic antigen (CEA), tumor size, and tumor number were risk elements for gastric cancer recurrence in patients, with H. pylori infection being the primary high-risk factor.

Conclusion: Out of the four machine learning models, the XGBoost algorithm exhibited superior performance in predicting the recurrence of gastric cancer. In addition, machine learning models can help clinicians identify key prognostic factors that are clinically meaningful for the application of personalized patient monitoring and immunotherapy.

Background: Nitric oxide (NO) is a bioactive signaling molecule that mediates various physiological and biological processes. Type 2 diabetes mellitus (T2DM) can be categorized into several subgroups according to fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) levels. Few studies have closely examined the effect of NO and lipocalin-2 on albuminuria and insulin resistance in T2DM subgroups. This study investigated the role of NO, lipocalin-2, and proinflammatory cytokines on the development of proteinuria and insulin resistance in patients with T2DM subgroups.

Methods: A total of 256 subjects, including 191 patients with T2DM and 65 non-diabetic healthy individuals, were evaluated. NO metabolites (NOx), lipocalin-2, tumor necrosis factor-α (TNF-α), and interleukin-6 (IL-6) levels were measured. Patients with T2DM were classified into three subgroups: patients with FPG-defined diabetes (PG-DM), those with HbA1c-defined diabetes (HA-DM), and those who met the criteria for both FPG and HbA1c (PG/HA-DM). The albumin-to-creatinine ratio (ACR) and the homeostasis model assessment of β-cell function (HOMA-B) and insulin resistance (HOMA-IR) were calculated.

Results: NOx, lipocalin-2, and TNF-α levels were significantly higher in patients with T2DM than in healthy individuals. Patients with PG/HA-DM had significantly higher NOx levels than those with PG-DM or HA-DM. Of the patients with high NOx levels, patients with lipocalin-2 elevation exhibited higher ACR and HOMA-IR than those without lipocalin-2 elevation. NOx was positively correlated with lipocalin-2, ACR, HOMA-IR, and TNF-α but not with HOMA-B and IL-6. The upper quartile of NOx levels led to a 1.2-fold increase in the risk of albuminuria (odds ratio: 1.215; 95% CI: 1.012-2.418; p < 0.001).

Conclusion: NO plays a crucial role in proteinuria and insulin resistance by collaborating with lipocalin-2 and TNF-α, showing significantly higher levels in patients with PG/HA-DM than in those with PG-DM or HA-DM.

Objective: Atherosclerosis (AS) is a sustained chronic vascular inflammatory response caused by lipid metabolism disorders and immune response disorders and is the main cause of premature (men ≤ 55 years old, women ≤ 65 years old) myocardial infarction (PMI). Cytochrome P450 2C19 (CYP2C19) (related to vascular function and lipid metabolism) and peripheral immune cell levels and plays an important role in the course of AS. The association CYP2C19 polymorphisms, comprehensive immunoinflammatory indices with PMI susceptibility is unclear.

Methods: This study included 485 PMI patients, and 639 age-matched non-PMI individuals as controls, from January 2019 to March 2024. The relationship between CYP2C19 polymorphisms, peripheral immunoinflammatory indices (pan-immune inflammation value (PIV), systemic immune inflammation index (SII), and system inflammation response index (SIRI)) and PMI risk were analyzed.

Results: The inflammatory indices levels in PMI patients were higher than those in controls (all p<0.05). The frequencies of the CYP2C19 *1/*2 and *2/*2 genotypes were higher, while the frequency of the *1/*1 genotype was lower in the PMI patients than those in controls. The cut-off values of TC, TG, LDL-C, PIV, SII, and SIRI were 5.065, 1.305, 2.805, 410.485, 869.645, and 1.495 for distinguishing PMI, respectively. Logistic regression analysis showed that male (odds ratio (OR): 1.607, 95% confidence interval (CI): 1.134-2.277, p=0.008), history of smoking (OR: 7.108, 95% CI: 4.351-11.614, p<0.001), diabetes mellitus (OR: 4.906, 95% CI: 3.333-7.223, p<0.001), CYP2C19 poor metabolizer (PM) (*2/*2, *2/*3, and *3/*3) (OR: 2.147, 95% CI: 1.279-3.603, p=0.004), and high TG (≥1.305 vs <1.305, OR: 2.598, 95% CI: 1.864-3.623, p<0.001) and SIRI level (≥1.495 vs <1.495, OR: 2.495, 95% CI: 1.432-4.349, p=0.001) were independent risk factors for PMI.

Conclusion: CYP2C19 PM phenotype, high SIRI level (≥1.495) and TG level (≥1.305), male, history of smoking, and diabetes mellitus were independently associated with PMI susceptibility.

Objective: This study aims to evaluate the relationship between the pericoronary fat attenuation index (FAI), derived from coronary artery computed tomography angiography, and post-lipid management levels of low-density lipoprotein cholesterol in patients with coronary artery disease (CAD). Additionally, the study investigates coronary inflammation across different lipid management strategies.

Methods: We selected a cohort comprising 521 CAD patients who met the inclusion criteria. Patients were categorized into well-managed (LDL-C<2.6 mmol/L) and poorly managed (LDL-C≥2.6 mmol/L) groups based on lipid management efficacy. We collected anthropometric measures (height, weight, body mass index, and body surface area) and clinical indicators, including Gensini score, and FAI-related parameters for coronary atherosclerotic lesions. We analyzed the interrelations along these parameters and lipid management using statistical methods and assessed diagnostic value via receiver operating characteristic (ROC) curve analysis of these parameters was assessed through.

Results: The poorly managed group exhibited significantly higher levels of total cholesterol, triglycerides, and lower levels of high-density lipoprotein compared to the well-managed group (P < 0.05). Significant differences were observed between the groups in terms of lesion length in the proximal segment of the left anterior descending artery, FAI value in the proximal segment of lesions in the right coronary artery (RCA), volume thickness in the middle segment of RCA lesions, and lesion length in the distal segment of RCA (P < 0.05). ROC curve analysis revealed areas under the curve ranging from 0.484 to 0.660 for the parameters, indicating limited diagnostic efficacy.

Conclusion: The FAI in the RCA varies with lipid management strategies, suggesting it as a valuable metric for monitoring both perivascular inflammation and lipid status in CAD patients. However, its current diagnostic efficacy is limited, indicating the need for further research to improve its clinical utility.

Purpose: Anti-hyperlipidemic drug treatments are effective in reducing the risk of cardiovascular disease. In a long-term retrospective inception cohort study, we aimed to assess the real-world comparative effectiveness of anti-hyperlipidemic monotherapies for primary prevention of cardiovascular events.

Patients and methods: Patients aged 18 years and older, who initiated primary prevention with anti-hyperlipidemic monotherapy, were selected from the University of Groningen IADB.nl dispensing database. In intention-to-treat (ITT) analysis we included all patients, whereas in per-protocol (PP) analysis we included both all patients independent of adherence (PPIA) and adherent patients (PPA). Study outcome was the time to first prescription of acute cardiac drug therapy measured by valid drug proxies to identify a first major cardiovascular event. We applied inverse probability of treatment-weighted (IPTW) analysis using Cox regression and time-varying Cox regression with simvastatin as the reference category to estimate the average treatment effect hazard ratios (HR) and their corresponding 95% confidence intervals (CI).

Results: Atorvastatin users had significantly higher hazards compared to simvastatin users (HR range: 1.27 to 1.47, 95% CI: 1.15 to 1.69). Similarly, Pravastatin users also exhibited increased hazards compared to simvastatin users (HR range: 1.41 to 1.56, 95% CI: 1.14 to 2.04). Similar patterns were observed in patients with diabetes, rheumatoid arthritis, and asthma/COPD. No differences were found in the hazards of rosuvastatin, fluvastatin, fibrates, and simvastatin.

Conclusion: Atorvastatin and pravastatin users had higher long-term rates of cardiovascular events compared to simvastatin monotherapy in primary prevention, the difference may be attributed to the confounding by severity, but also possibly due to differences in drug mechanisms or patient response. These findings could influence current guideline recommendations, suggesting a potential preference for simvastatin in primary prevention, underscoring the need for further research to explore long-term impacts and underlying mechanisms, especially in diverse populations.

Purpose: Post-traumatic stress disorder (PTSD) is a major psychiatric health issue among intensive care unit (ICU) survivors with post-intensive care syndrome (PICS). Although early PTSD intervention has been demonstrated to decrease the risk of progression from acute to chronic PTSD, information on the progression trajectory of short-term PTSD symptoms and modifiable risk factors in PICS patients is limited. This study aimed to explore the clinical progression trajectories of short-term PTSD symptoms and the associated factors in PICS patients by conducting a prospective longitudinal observational study.

Patients and methods: This study was conducted at a tertiary hospital in China. The impact of event scale-revised was used to collect data on the PTSD symptoms of patients at 1, 2, 3, and 4 months post-discharge from the ICU. The latent growth mixture model was used to construct trajectory models for PTSD symptoms and multivariate logistic regression was used to determine the factors associated with the trajectories.

Results: A total of 130 ICU survivors with PICS completed the 4-month short-term follow-up. Our results showed that PTSD symptoms in PICS patients manifested as three trajectories, namely, moderate chronic (n = 17, 13.1%), recovery (n = 25, 19.2%), and resilience (n = 88, 67.7%). Compared with the resilience trajectory, age and female were identified as risk factors for the moderate chronic trajectory, while prolonged ICU stay was a risk factor for the recovery trajectory.

Conclusion: Our study showed that short-term PTSD symptoms in PICS patients manifested as moderate chronic, recovery, and resilience trajectories. Additionally, our results showed that PTSD screening should be conducted for critically ill patients, especially younger, female, or long-term ICU patients, immediately after their discharge from the ICU.

Objective: To explore the relevant factors affecting the prognosis of subarachnoid hemorrhage.

Methods: 284 patients with subarachnoid hemorrhage who were hospitalized in our hospital from January 1, 2022 to June 30, 2024 were selected and divided into a good prognosis group and a poor prognosis group according to the modified Rankin Scale (mRS) score. The general clinical data of the patients were also collected, and the independent risk factors affecting the poor prognosis of the patients were screened by univariate logistic regression analysis.

Results: Patients with a favorable prognosis had a lower incidence rate of rebleeding (4.72% vs 17.65%; P =0.001), electrolyte disturbances (21.46% vs 41.18%; P <0.001), lower respiratory tract infection (5.58% vs 35.29%; P <0.001), urinary tract infection (1.72% vs 15.69%; P <0.001) and gastrointestinal infection (2.15% vs 11.76%; P <0.001) than patients with an unfavorable prognosis. Therefore, coinfection is an independent risk factor for prognosis. After adjusting for covariates, logistic regression analysis identified the prognosis of subarachnoid hemorrhage was related to coinfections (adjusted odds ratio =2.057; 95% CI: 1.516~2.791; P<0.001).

Conclusion: Coinfection is a very important independent risk factor affecting prognosis, and clinical care should focus on how to reduce coinfection during hospitalization in patients with subarachnoid hemorrhage and treat it aggressively to reduce mortality and disability and improve patient prognosis.