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Background: Acute pancreatitis, among the most prevalent gastrointestinal disorders, exhibits a continual rise in its incidence recent years. This study endeavor to explore the correlation between smoking exposure and the severity of acute pancreatitis (AP). Methods: Five hundred and eight patients diagnosed as acute pancreatitis (AP) were included in our data analysis. Patients were categorized based on their smoking pack-years into four groups: light, moderate, heavy, and non-smokers. Outcomes were classified as two: "mild acute pancreatitis (MAP)" and "moderately severe acute pancreatitis (MSAP) or severe acute pancreatitis (SAP)". We conducted propensity score matching (PSM) to adjust confounding factors and multivariable logistic regression analysis to determine adjusted odds ratios and 95% confidence intervals. Additionally, a dose-dependent association analysis between smoking exposure and the incidence rate of "MSAP or SAP" was performed. Results: Smokers exhibited a higher risk of "MSAP or SAP" compared to non-smokers, both before (17.1 vs. 54.9%, p < 0.001) and after (9.4 vs. 24.7%, p < 0.001) PSM. With an area under the ROC curve of 0.708, smoking showed a moderate level of predictive ability. Furthermore, propensity score matching analysis showed that patients who smoked compared to non-smokers had significantly higher risks of "MSAP or SAP" for light smoking (OR 3.76, 95% CI 1.40-10.07, p = 0.008), moderate smoking (OR 4.94, 95% CI 2.23-10.92, p < 0.001), and heavy smoking (OR 8.08, 95% CI 3.39-19.25, p < 0.001). Conclusion: Smoking is an independent risk factor that can raise the severity of pancreatitis. Moreover, the severity of acute pancreatitis escalates in tandem with the accumulation of pack-years of smoking.
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BACKGROUND: The management of preoperative blood glucose levels in reducing the incidence of postoperative delirium (POD) remains controversial. This study aims to investigate the impact of preoperative persistent hyperglycemia on POD in geriatric patients with hip fractures. METHODS: This retrospective cohort study analyzed medical records of patients who underwent hip fracture surgery at a tertiary medical institution between January 2013 and November 2023. Patients were categorized based on preoperative hyperglycemia (hyperglycemia defined as ≥ 6.1mmol/L), clinical classification of hyperglycemia, and percentile thresholds. Multivariate logistic regression and propensity score matching analysis (PSM) were employed to assess the association between different levels of preoperative glucose and POD. Subgroup analysis was conducted to explore potential interactions. RESULTS: A total of 1440 patients were included in this study, with an incidence rate of POD at 19.1% (275/1440). Utilizing multiple logistic analysis, we found that patients with hyperglycemia had a 1.65-fold increased risk of experiencing POD compared to those with normal preoperative glucose levels (95% CI: 1.17-2.32). Moreover, a significant upward trend was discerned in both the strength of association and the predicted probability of POD with higher preoperative glucose levels. PSM did not alter this trend, even after meticulous adjustments for potential confounding factors. Additionally, when treating preoperative glucose levels as a continuous variable, we observed a 6% increase in the risk of POD (95% CI: 1-12%) with each 1mmol/L elevation in preoperative glucose levels. CONCLUSIONS: There exists a clear linear dose-response relationship between preoperative blood glucose levels and the risk of POD. Higher preoperative hyperglycemia was associated with a greater risk of POD. CLINICAL TRIAL NUMBER: NCT06473324.
Subject(s)
Delirium , Hip Fractures , Hyperglycemia , Postoperative Complications , Humans , Hip Fractures/surgery , Hip Fractures/blood , Hyperglycemia/epidemiology , Hyperglycemia/blood , Female , Male , Retrospective Studies , Aged , Aged, 80 and over , Postoperative Complications/diagnosis , Postoperative Complications/epidemiology , Postoperative Complications/blood , Delirium/blood , Delirium/epidemiology , Delirium/diagnosis , Delirium/etiology , Blood Glucose/metabolism , Blood Glucose/analysis , Preoperative Period , Incidence , Risk Factors , Propensity ScoreABSTRACT
Purpose: Postoperative urinary tract infections (UTIs) worsen the prognosis of elderly patients with hip fractures. This study aimed to assess the predictive ability of blood-based biomarkers, specifically the glucose-albumin ratio (GAR), in predicting postoperative UTIs. Methods: A retrospective observational study of 1,231 patients from a Level I trauma center was conducted. We evaluated the prognostic and predictive value of 15 biomarkers, including the glucose-albumin ratio, in elderly patients with hip fractures. The primary outcome measure was the incidence of postoperative UTIs. Results: The glucose to albumin ratio transformed into GAR was superior to any other biomarker in predicting postoperative UTIs in elderly hip fracture patients (AUC = 0.756, p < 0.001). Elevated GAR (using the best cut-off value of 0.18) was independently associated with postoperative UTIs (OR 3.20, 95% CI 2.23-4.58). Further analysis dividing GAR levels into four groups according to quartiles showed that compared to patients with GAR levels of Q1 (< 0.14), GAR levels of Q2 (0.14-0.17; OR 2.11, 95% CI 1.07-4.15), Q3 (0.17-0.21; OR 3.36, 95% CI 1.74-6.52) and Q4 (> 0.21; OR 7.55, 95% CI 3.84-14.83) patients had significantly higher odds of UTIs. Conclusion: GAR holds potential as a novel biomarker for predicting postoperative UTIs in elderly patients with hip fractures.
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Rheumatoid arthritis (RA) is a chronic systemic inflammatory autoimmune disease. However, the relationship between the systemic immune-inflammation index (SII) and the prognosis of RA patients remains unclear. This study aimed to investigate the association between inflammatory biomarker SII and all-cause and cardiovascular mortality in RA patients. A retrospective analysis was conducted using data from the National Health and Nutrition Examination Survey database spanning from 1999 to March 2020. We assessed the association between the SII and all-cause as well as cardiovascular mortality in RA patients employing multivariable Cox proportional hazards regression analysis and restricted cubic spline plots. Receiver operating characteristic curves were employed to evaluate the prognostic capacity of SII in predicting outcomes in both the RA patients and the general population, alongside its predictive performance compared to other markers. This study comprised 2247 RA patients and a control cohort of 29,177 individuals from the general population. Over a 20-year follow-up period, 738 all-cause deaths and 215 deaths attributable to cardiovascular disease were documented in RA patients. We observed a nonlinear positive correlation between the SII and both all-cause and cardiovascular mortality in RA patients. Of significance, at an SII level of 529.7, the hazard ratio reached 1, signifying a transition from low to high mortality risk. Moreover, subgroup analysis did not reveal any potential interactions. Our study findings indicate a nonlinear positive correlation between the inflammatory biomarker SII and both all-cause and cardiovascular mortality in patients with RA.
Subject(s)
Arthritis, Rheumatoid , Cardiovascular Diseases , Inflammation , Humans , Arthritis, Rheumatoid/mortality , Arthritis, Rheumatoid/immunology , Male , Female , Cardiovascular Diseases/mortality , Cardiovascular Diseases/immunology , Middle Aged , Inflammation/immunology , Retrospective Studies , United States/epidemiology , Adult , Biomarkers , Aged , Prognosis , Proportional Hazards Models , Cause of Death , Nutrition Surveys , ROC Curve , Risk FactorsABSTRACT
Background: This study aims to discern the significance of common hematological and biochemical parameters for predicting urinary tract infections in geriatric patients with hip fractures. Methods: Multivariable logistic regression and propensity score-matched analyses were conducted to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for UTIs. The abilities of these parameters to predict UTIs were evaluated by receiver operating characteristic (ROC) curves. Dose-response relationships were assessed by categorizing hematological and biochemical parameters into quartiles. Subgroup analyses were further explored to investigate the relationship between these parameters and urinary tract infections. Results: Out of the 1,231 participants, 23.2% were diagnosed with UTIs. Hyperglycemia, hypoproteinemia and hyperglobulinemia were risk factors for UTIs in multivariate analysis. After propensity score matching, hyperglycemia (OR 2.14, 95% CI 1.50-3.05, p < 0.001), hypoproteinemia (OR 1.75, 95% CI 1.18-2.63, p = 0.006), and hyperglobulinemia (OR 1.38, 95% CI 0.97-1.97, p = 0.074) remained significantly associated with increased odds of urinary tract infections. ROC curve analyses showed moderate predictive accuracy of blood glucose, albumin and globulin for UTIs, with areas under the curves of 0.714, 0.633, and 0.596, respectively. Significant dose-response relationships were observed between these parameters and UTIs. The associations were consistent in subgroup analyses. Conclusion: Blood glucose, albumin and globulin levels can facilitate early identification of geriatric hip fracture patients at high risk of UTIs. These easily obtainable hematological and biochemical parameters provide a practical clinical prediction tool for individualized UTI prevention in this population.
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BACKGROUND: Rheumatoid arthritis (RA) stands as a persistent systemic inflammatory autoimmune condition. Despite this understanding, the precise impact of the systemic inflammation response index (SIRI) on the prognosis of RA patients remains elusive. This study aims to elucidate the correlation between the inflammatory biomarker SIRI and both all-cause mortality and cardiovascular mortality among RA patients. METHODS: Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2020, a retrospective analysis was conducted. Survival data were depicted through Kaplan-Meier survival curves, while the relationship between SIRI and all-cause or cardiovascular mortality in RA patients was scrutinized via multivariable Cox proportional hazards regression analysis and restricted cubic spline plots. Furthermore, subgroup analysis and mediation analysis were also performed. RESULTS: This study encompassed 2656 RA patients with a comprehensive 20-year follow-up, during which 935 all-cause deaths and 273 deaths attributed to cardiovascular disease were recorded. We observed a nonlinear positive correlation between SIRI with both all-cause and cardiovascular mortality in RA patients. Notably, at a SIRI level of 1.12, the hazard ratio reached 1, indicating a shift from low to high mortality risk. Furthermore, mediation analysis revealed that 12.6% of the association between RA and mortality risk was mediated through SIRI. Subgroup analysis indicated a more pronounced association between SIRI and mortality in female patients or those with a high BMI. CONCLUSION: This study underscores a non-linear positive correlation between the biomarker SIRI and both all-cause mortality and cardiovascular mortality in RA patients.
Subject(s)
Arthritis, Rheumatoid , Cardiovascular Diseases , Inflammation , Nutrition Surveys , Humans , Arthritis, Rheumatoid/mortality , Female , Male , Cardiovascular Diseases/mortality , Middle Aged , Retrospective Studies , United States/epidemiology , Cause of Death , Biomarkers/blood , Adult , Proportional Hazards Models , Aged , Risk FactorsABSTRACT
Purpose: This study aimed to investigate the association between admission hyperglycemia and 30-day readmission after hip fracture surgery in geriatric patients. Methods: This retrospective study included 1253 geriatric hip fracture patients. Patients were categorized into normoglycemia(<6.10 mmol/L) and hyperglycemia groups(≥6.10 mmol/L) based on admission blood glucose. We performed multivariable logistic regression analyses and propensity score matching (PSM) to estimate adjusted odds ratios and 95% confidence intervals for 30-day readmission, controlling for potential confounding factors. An analysis of the dose-dependent association between admission blood glucose and the probability of 30-day readmission was performed. Additional subgroup analysis was conducted to examine the impact of other factors on the relationship between admission blood glucose and 30-day readmission. Results: Patients with hyperglycemia had higher 30-day readmission rates than normoglycemic patients before (19.1% vs 9.7%, p<0.001) and after PSM (18.1% vs 12.3%, p=0.035). Admission hyperglycemia was an independent predictor of increased 30-day readmission risk, with an adjusted odds ratio of 1.57 (95% CI 1.08-2.29, p=0.019) after multivariable regression and 1.57 (95% CI 1.03-2.39, p=0.036) after PSM. A dose-response relationship was observed between higher glucose levels and increased readmission risk. Conclusion: Admission hyperglycemia is an independent risk factor for 30-day readmission after hip fracture surgery in the elderly. Routine glucose testing upon admission and perioperative glycemic control may help reduce short-term readmissions in this vulnerable population.
Subject(s)
Hip Fractures , Hyperglycemia , Aged , Humans , Patient Readmission , Propensity Score , Blood Glucose , Retrospective Studies , Hip Fractures/surgery , Hyperglycemia/epidemiologyABSTRACT
PURPOSE: This study aimed to evaluate the correlation admission albumin levels and 30-day readmission after hip fracture surgery in geriatric patients. METHODS: In this retrospective cohort study, 1270 geriatric patients admitted for hip fractures to a level I trauma center were included. Patients were stratified by clinical thresholds and albumin level quartiles. The association between admission albumin levels and 30-day readmission risk was assessed using multivariate logistic regression and propensity score-matched analyses. The predictive accuracy of albumin levels for readmission was evaluated by ROC curves. The dose-response relationship between albumin levels and readmission risk was examined. RESULTS: The incidence of 30-day readmission was significantly higher among hypoalbuminemia patients than those with normal albumin levels (OR = 2.090, 95%CI:1.296-3.370, p = 0.003). Furthermore, propensity score-matched analyses demonstrated that patients in the Q2(35.0-37.9 g/L) (OR 0.621, 95%CI 0.370-1.041, p = 0.070), Q3(38.0-40.9 g/L) (OR 0.378, 95%CI 0.199-0.717, p < 0.001) and Q4 (≥ 41 g/L) (OR 0.465, 95%CI 0.211-0.859, p = 0.047) quartiles had a significantly lower risk of 30-day readmission compared to those in the Q1(< 35 g/L) quartile. These associations remained significant after propensity score matching (PSM) and subgroup analyses. Dose-response relationships between albumin levels and 30-day readmission were observed. CONCLUSIONS: Lower admission albumin levels were independently associated with higher 30-day readmission rates in elderly hip fracture patients. Our findings indicate that serum albumin may assist perioperative risk assessment, and prompt correction of hypoalbuminemia and malnutrition could reduce short-term readmissions after hip fracture surgery in this high-risk population.
Subject(s)
Hip Fractures , Hypoalbuminemia , Serum Albumin, Human , Aged , Humans , Hip Fractures/surgery , Hip Fractures/complications , Hypoalbuminemia/epidemiology , Hypoalbuminemia/complications , Patient Readmission , Postoperative Complications/diagnosis , Postoperative Complications/epidemiology , Propensity Score , Retrospective Studies , Risk Factors , Serum Albumin, Human/analysis , Serum Albumin, Human/chemistryABSTRACT
Gastric cancer (GC) is one of the most common malignant tumors worldwide and the fourth leading cause of cancer-related deaths, with a relatively high incidence among the elderly population. Surgical resection is the mainstay treatment for GC and is currently the only cure. However, the incidence of postoperative intraabdominal infections remains high and seriously affects the prognosis. This study aimed to explore the risk factors for intraabdominal infections after radical gastrectomy in elderly patients and to establish and validate a risk prediction model. We collected the clinical data of 322 GC patients, who underwent radical gastrectomy at the General Surgery Department of China Medical University Dandong Central Hospital from January 2016 to January 2023. The patients were divided into an infected group (nâ =â 27) and a noninfected group (nâ =â 295) according to whether intraabdominal infections occurred postoperatively. A nomogram risk prediction model for the occurrence of postoperative intraabdominal infections was developed. All patients were randomized into a training set (nâ =â 225) and a validation set (nâ =â 97) in a 7:3 ratio, and the model was internally validated. Of the 322 patients, 27 (8.3%) experienced postoperative intraabdominal infections. Single-factor analysis revealed associations of intraabdominal infection with body mass index, glucose, hemoglobin, albumin, and other factors. The multifactorial analysis confirmed that body mass index, glucose, hemoglobin, albumin, surgical duration, and bleeding volume were independent risk factors for intraabdominal infections. The nomogram constructed based on these factors demonstrated excellent performance in both the training and validation sets. A nomogram model was developed and validated to predict the risk of intraabdominal infection after radical gastrectomy. The model has a good predictive performance, which could help clinicians prevent the occurrence of intraabdominal infections after radical gastrectomy in elderly patients.
Subject(s)
Intraabdominal Infections , Stomach Neoplasms , Aged , Humans , Albumins , Gastrectomy/adverse effects , Glucose , Hemoglobins , Intraabdominal Infections/etiology , Intraabdominal Infections/complications , Nomograms , Retrospective Studies , Stomach Neoplasms/pathologyABSTRACT
BACKGROUND: This study aimed to comprehensively assess the prevalence and risk factors for Hospital-acquired pneumonia (HAP) in hip fracture patients by meta-analysis. METHODS: Systematically searched 4 English databases and 4 Chinese databases from inception until October 20, 2022. All studies involving risk factors of HAP in patients with hip fractures will be considered. Newcastle-Ottawa Scale was used to evaluate the quality of the included studies. The results were presented through Review Manager 5.4 with the pooled odds ratio (OR) and 95% confidence interval. RESULTS: Of 35 articles included in this study, the incidence of HAP was 8.9%. 43 risk factors for HAP were initially included, 23 were eventually involved in the meta-analysis, and 21 risk factors were significant. Among them, the 4 most frequently mentioned risk factors were as follows: Advanced age (OR 1.07, 95% CI 1.05-1.10), chronic obstructive pulmonary disease (COPD) (OR 3.44, 95% CI 2.83-4.19), time from injury to operation (OR 1.09, 95% CI 1.07-1.12), time from injury to operationâ ≥â 48 hours (OR 3.59, 95% CI 2.88-4.48), and hypoalbuminemiaâ <â 3.5g/dL (OR 2.68, 95% CI 2.15-3.36). DISCUSSION: Hip fracture patients diagnosed with COPD have a 3.44 times higher risk of HAP compared to the general hip fracture patients. The risk of HAP also increases with age, with patients over 70 having a 2.34-fold higher risk and those over 80 having a 2.98-fold higher risk. These findings highlight the need for tailored preventive measures and timely interventions in vulnerable patient populations. Additionally, hip fracture patients who wait more than 48 hours for surgery have a 3.59-fold higher incidence of HAP. This emphasizes the importance of swift surgical intervention to minimize HAP risk. However, there are limitations to consider in this study, such as heterogeneity in selected studies, inclusion of only factors identified through multivariate logistic regression, and the focus on non-randomized controlled trial studies.
Subject(s)
Healthcare-Associated Pneumonia , Hip Fractures , Pulmonary Disease, Chronic Obstructive , Humans , Hip Fractures/epidemiology , Hip Fractures/surgery , Risk Factors , Healthcare-Associated Pneumonia/epidemiology , HospitalsABSTRACT
Background: Urinary tract infection (UTI) is a prevalent and consequential complication in hip fracture patients, leading to significant disability and heightened healthcare expenditures. Consequently, there is a critical need for a comprehensive systematic review to identify risk factors and establish early and effective preventive measures. Methods: A comprehensive search was performed across the PubMed, Cochrane, Embase, Web of Science, and Scopus databases (up to August 31, 2023). Article screening, data extraction, and quality assessment were independently completed by two reviewers. Results: Forty-four studies were eligible for inclusion, yielding an overall incidence rate of 11% (95% CI: 8%-14%). Our pooled analysis revealed 18 significant risk factors, including being female (OR = 2.23, 95% CI: 1.89-2.63), advanced age (MD = 1.35, 95% CI: 0.04-2.66), obesity (OR = 1.21, 95% CI: 1.11-1.31), catheterization (OR = 3.8, 95% CI: 2.29-6.32), blood transfusion (OR = 1.39, 95% CI: 1.21-1.58), American Society of Anesthesiologists ≥III (OR = 1.28, 95% CI: 1.18-1.40), general anesthesia (OR = 1.26, 95% CI: 1.11-1.43), intertrochanteric fracture (OR = 1.25, 95% CI: 1.01-1.54), hemiarthroplasty (OR = 1.43, 95% CI: 1.19-1.69), prolonged length of hospital stay (MD = 1.44, 95% CI: 0.66-2.23), delirium (OR = 2.66, 95% CI: 2.05-3.47), dementia (OR = 1.82, 95% CI: 1.62-2.06), Parkinson's disease (OR = 1.53, 95% CI: 1.46-1.61), diabetes (OR = 1.27, 95% CI: 1.13-1.43), hypertension (OR = 1.14, 95% CI: 1.03-1.26), congestive heart failure (OR = 1.35, 95% CI: 1.10-1.66), history of sepsis (OR = 7.13, 95% CI: 5.51-9.22), and chronic steroid use (OR = 1.29, 95% CI: 1.06-1.57). Conclusion: Our study identifies numerous risk factors strongly associated with UTI, offering compelling evidence and actionable strategies for improving clinical prediction, enabling early intervention, and facilitating targeted UTI management. Systematic review registration: identifier [CRD42023459600], https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=459600.
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Objective: This study aims to examine the association between preoperative serum albumin levels and postoperative delirium (POD) in geriatric patients who have undergone hip fracture surgery, with the goal of offering novel insights for clinical interventions targeting POD. Methods: A retrospective analysis was conducted on the medical records of patients who underwent hip fracture surgery in a tertiary medical institution from January 2013 to November 2023. The patients were classified based on hypoalbuminemia (defined as a serum albumin level < 35 g/L) and clinical threshold. Multivariable logistic regression and propensity score matching analysis (PSM) were employed to calculate the adjusted odds ratios (OR) and 95% confidence intervals (95% CI) for POD to eliminate potential confounding factors. Additionally, subgroup analysis was performed to explore the interaction effect. Results: The retrospective cohort study included 1,440 patients, with an incidence of POD found to be 19.1%. In a multivariable logistic regression analysis, patients with hypoalbuminemia had an adjusted OR of 2.99 (95%CI: 2.14-4.18) compared to those with normal albumin levels (≥ 35 g/L). Furthermore, a significant trend was observed across different severity categories, including mild hypoalbuminemia (34.9-30.0 g/L; adjusted OR = 2.71, 95%CI: 1.84-3.99), moderate hypoalbuminemia (29.9-25.0 g/L, adjusted OR = 3.44, 95%CI: 1.88-6.28), and severe hypoalbuminemia (<25.0 g/L; adjusted OR = 3.97, 95%CI: 1.78-8.86), with a trend value of p <0.001. Similar results were observed in the PSM analysis. Additionally, treating preoperative serum albumin level as a continuous variable, the risk of POD increased by 11% (95% CI, 1.08-1.15) with each 1 g/L decrease in preoperative serum albumin level. Conclusion: Low preoperative levels of albumin are strongly associated with POD in geriatric patients with hip fractures, and a significant dose-response relationship exists between them.
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OBJECTIVE: This study aimed to systematically assess the incidence and risk factors for hospital-acquired pneumonia (HAP) in hip fracture patients by meta-analysis. METHODS: Systematically searched four English databases (PubMed, EMBASE, The Cochrane Library, and Web Of Science) and four Chinese databases (CNKI, CQVIP, Sinomed, and WAN FANG) from inception until 20 November 2023. All studies involving risk factors of HAP in patients with hip fractures were considered. Newcastle-Ottawa Scale was used to evaluate the quality of the included studies. The results were presented with the pooled odds ratio (OR) and 95% confidence interval (95% CI). RESULTS: Of 35 articles (337,818 patients) included in this study, the incidence of HAP was 89 per 1000 cases. Twenty-three risk factors were eventually involved in the meta-analysis, and 21 risk factors were significant. Our study has identified four significant risk factors (advanced age, preoperative time, COPD, and hypoalbuminemia) associated with HAP, as follows: Advanced age as a continuous variable (OR 1.07, 95% CI 1.05-1.10), Advanced age > 70 years (OR 2.34, 95% CI 1.77-3.09), Advanced age > 80 years (OR 2.98, 95% CI 2.06-4.31), Chronic obstructive pulmonary disease (COPD) (OR 3.44, 95% CI 2.83-4.19), Time from injury to operation as a continuous variable (OR 1.09, 95% CI 1.07-1.12), Time from injury to operation ≥48 h (OR 3.59, 95% CI 2.88-4.48), Hypoalbuminemia < 3.0 g/dL (OR 3.03, 95% CI 1.93-4.73), and Hypoalbuminemia < 3.5 g/dL (OR 2.68, 95% CI 2.15-3.36). However, it is important to note that all the studies included in our research were retrospective in nature, which introduces certain limitations to the level of evidence and the ability to establish causal inferences. DISCUSSION: Patients who have suffered hip fractures are at an increased risk of developing postoperative hospital-acquired pneumonia, which can lead to prolonged hospital stays and adverse clinical outcomes. Consequently, the identification of these risk factors offers novel insights and methodologies for healthcare professionals in terms of both prevention and treatment. TRIAL REGISTRATION: Registration number: INPLASY2022100091.