Association of the controlling nutritional status score with all-cause mortality and cancer mortality risk in patients with type 2 diabetes: NHANES 1999-2018

Association of secondhand smoke exposure with all-cause mortality and cardiovascular death in patients with hypertension: Insights from NHANES

BACKGROUND AND AIM

The impact of environmental chemical exposure on blood pressure (BP) is well-established. However, the relationship between secondhand smoke exposure (SHSE) and mortality in hypertensive patients in the general population remains unclear.

METHODS AND RESULTS

This cohort study included US adults in the National Health and Nutrition Examination Survey from 2007 to 2018. All-cause mortality and cause-specific mortality outcomes were determined by associating them with the National Death Index records. Cox proportional risk models were used to estimate hazard ratios (HRs) for all-cause mortality and cardiovascular disease (CVD) mortality, and 95% confidence intervals (CIs) for SHSE. The cohort included 10,760 adult participants. The mean serum cotinine level was 0.024 ng/mL. During a mean follow-up period of 76.9 months, there were 1729 deaths, including 469 cardiovascular disease deaths recorded. After adjusting for lifestyle factors, BMI, hypertension duration, medication use, and chronic disease presence, the highest SHSE was significantly associated with higher all-cause and CVD mortality.

CONCLUSIONS

This study demonstrates that higher SHSE is significantly associated with higher all-cause mortality and CVD mortality. Further research is necessary to elucidate the underlying mechanisms.

Association between hyperuricemia and diabetic nephropathy: insights from the national health and nutrition examination survey 2007-2016 and mendelian randomization analysis

BACKGROUND

This study aimed to investigate the role of uric acid (UA) in diabetic nephropathy (DN) from epidemiological and genetic perspectives.

METHODS

We used data from the 2007-2016 National Health and Nutrition Examination Survey to evaluate the relationship between UA and DN risk using weighted multivariate-adjusted logistic regression. Subsequently, a two-sample Mendelian randomization study was conducted using genome-wide association study summary statistics. The main inverse variance weighting (IVW) method and supplementary MR method were used to verify the causal relationship between UA and DN, and sensitivity analysis was conducted to confirm the credibility of the results.

RESULTS

Our observational study enrolled 4363 participants with diabetes mellitus from NHANES, among them, 2682 (61.4%) participants were identified as DN. The multivariate logistic regression model showed that compared with those without hyperuricemia, the DN risk of the hyperuricemia population was significantly increased (P < 0.05). The MR results suggest a direct causal effect of hyperuricemia on DN (IVW odds ratio (OR): 1.37 (95% confidence interval 1.07-1.76); P = 0.01), which is consistent with findings from other MR methods.

CONCLUSION

The evidence from observational studies indicates a positive correlation between HUA and the onset of DN. And the causal effects of HUA on DN were supported by the MR analysis.

Controlling the nutritional status score: a new tool for predicting postoperative mortality in patients with infrarenal abdominal aortic aneurysm treated with endovascular aneurysm repair

Background

AAA is a fatal condition that commonly occurs during vascular surgery. Nutritional status exerts a significant influence on the prognosis of various pathological conditions Scores from the CONUT screening tool have been shown to predict outcomes of certain malignancies and chronic diseases. However, the ramifications of nutritional status on AAA patients undergoing EVAR have not been elucidated in prior studies. In this study, we aimed to elucidate the correlation between CONUT scores and postoperative prognostic outcomes in patients with AAA undergoing EVAR.

Methods

This was a retrospective review of 177 AAA patients treated with EVAR from June 2018 to November 2019 in a single center. Patient characteristics, CONUT scores, and postoperative status were collected. These patients were stratified into groups A and B according to CONUT scores. Subsequently, a comparative analysis of the baseline characteristics between the two cohorts was conducted. Cox proportional hazards and logistic regression analyses were employed to identify the autonomous predictors of mid-term mortality and complications, respectively.

Results

Compared with group A, patients in group B had higher midterm mortality (p < 0.001). Univariate analysis showed that CONUT scores; respiratory diseases; stent types; preoperative Hb, CRP, PT, and Fb levels were risk factors for death. Multivariate analysis confirmed that CONUT score [HR, 1.276; 95% CI, 1.029-1.584; p = 0.027] was an independent risk factor for mortality. Logistic regression analysis showed that prior arterial disease, smoking, and D-dimer levels were risk factors, although multivariate analysis showed smoking (OR, 3.492; 95% CI, 1.426-8.553; p = 0.006) was an independent risk factor. Kaplan-Meier curves showed that patients in group B had shorter mid-term survival than those in group A (log-rank p < 0.001).

Conclusion

Malnutrition was strongly associated with mid-term mortality in patients with infrarenal AAA treated with EVAR.

Association of serum 25-hydroxyvitamin D concentration with all-cause and cause-specific mortality in hypertensive patients

BACKGROUND AND AIMS

To examine the association of serum 25-hydroxyvitamin D [25(OH)D] with all-cause mortality and disease-specific mortality in patients with hypertension.

METHODS AND RESULTS

This cohort study included US adults in the National Health and Nutrition Examination Survey from 2007 to 2018. All-cause mortality and cause-specific mortality outcomes were determined by association with National Death Index records. Cox proportional risk models were used to estimate hazard ratios (HRs) for all-cause mortality and cause-specific mortality and 95% confidence intervals (CIs) for serum 25(OH)D concentrations. The cohort included 10,325 adult participants. The mean serum 25(OH)D level was 65.87 nmol/L, and 32.2% of patients were vitamin D deficient (<50 nmol/L). During a mean follow-up of 77 months, 1290 deaths were recorded, including 345 cardiovascular deaths and 237 cancer deaths. Patients with higher serum 25(OH)D were more likely to have lower all-cause mortality and cardiovascular mortality than those with serum 25(OH)D < 25.00 nmol/L. For cancer mortality in hypertensive patients, vitamin D may not have a predictive role in this.

CONCLUSIONS

This study shows that higher 25(OH)D levels are significantly associated with lower all-cause mortality and cardiovascular disease (CVD) mortality. These findings suggest that maintaining adequate vitamin D status may reduce the risk of death in patients with hypertension.

Comparative analysis of different therapeutic approaches in the management of protein-energy malnutrition: Case reports from a clinical setting

BACKGROUND

Severe protein-energy malnutrition (PEM) presents a significant clinical challenge, often compounded by comorbidities such as type 2 diabetes. This case report aims to elucidate the intricacies of managing severe PEM in conjunction with type 2 diabetes, emphasizing the importance of personalized interventions and multidisciplinary collaboration in achieving optimal outcomes. By addressing the unique challenges this complex clinical scenario poses, this report contributes valuable insights to the medical literature and guides clinicians in effectively managing similar cases.

METHODS

The patient, pseudonymously identified as Emma Thompson, underwent a comprehensive diagnostic evaluation to assess her symptoms' severity and underlying causes. This included a thorough physical examination, laboratory testing, imaging studies, and collaboration with specialists to formulate a tailored treatment plan. Interventions were meticulously administered, with dosages, strengths, and durations adjusted based on ongoing assessments and patient response.

RESULTS

Implementing multidisciplinary therapeutic interventions significantly improved the patient's nutritional status, glycemic control, and overall well-being. Objective measures such as BMI, serum albumin levels, and physical functioning showed marked improvement throughout treatment. Patient-reported outcomes indicated enhanced quality of life, reduced fatigue, and increased energy levels, underscoring the comprehensive success of the integrated therapeutic approach.

CONCLUSION

This case report highlights the efficacy of a holistic, patient-centered approach in managing severe PEM and comorbid type 2 diabetes. Optimal outcomes were achieved by addressing the complex interplay of medical conditions through tailored interventions and multidisciplinary collaboration. The lessons from this case underscore the importance of individualized care, ongoing assessment, and long-term follow-up in enhancing patient well-being and guiding future clinical practice.

Navigating the future of diabetes: innovative nomogram models for predicting all-cause mortality risk in diabetic nephropathy

OBJECTIVE

This study aims to establish and validate a nomogram model for the all-cause mortality rate in patients with diabetic nephropathy (DN).

METHODS

We analyzed data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2016. A random split of 7:3 was performed between the training and validation sets. Utilizing follow-up data until December 31, 2019, we examined the all-cause mortality rate. Cox regression models and Least Absolute Shrinkage and Selection Operator (LASSO) regression models were employed in the training cohort to develop a nomogram for predicting all-cause mortality in the studied population. Finally, various validation methods were employed to assess the predictive performance of the nomogram, and Decision Curve Analysis (DCA) was conducted to evaluate the clinical utility of the nomogram.

RESULTS

After the results of LASSO regression models and Cox multivariate analyses, a total of 8 variables were selected, gender, age, poverty income ratio, heart failure, body mass index, albumin, blood urea nitrogen and serum uric acid. A nomogram model was built based on these predictors. The C-index values in training cohort of 3-year, 5-year, 10-year mortality rates were 0.820, 0.807, and 0.798. In the validation cohort, the C-index values of 3-year, 5-year, 10-year mortality rates were 0.773, 0.788, and 0.817, respectively. The calibration curve demonstrates satisfactory consistency between the two cohorts.

CONCLUSION

The newly developed nomogram proves to be effective in predicting the all-cause mortality risk in patients with diabetic nephropathy, and it has undergone robust internal validation.

Association of prognostic nutritional index with peripheral artery disease in US adults: a cross-sectional study

BACKGROUND

The objective of this study was to investigate the relationship between the prognostic nutritional index (PNI) and peripheral artery disease (PAD).

METHODS

The present study is a cross-sectional study based on the National Health and Nutrition Survey (1999-2004). The laboratory-calculated PNI was divided into four groups based on quartiles(Q1:PNI ≤ 50.00; Q2: 50.01-53.00; Q3:53.01-56.00; Q4: > 56.00). PAD was defined as an ankle brachial pressure index (ABPI) ≤ 0.9 on the left or right. The relationship between PNI and PAD was examined using multifactor weighted logistic regression analysis, as well as subgroup analysis. Subgroup analyses were conducted based on demographic and clinical variables.

RESULTS

A total of 5,447 individuals were included in our final analysis. The age of the participants was 59.56 ± 13.10 years, and males accounted for 52.8% (n = 2820). The prevalence of PAD was 6.7% (n = 363). After adjusting for all factors, participants with Q1 still had an increased risk of PAD, with an OR value of 1.593 and a 95% CI of 1.232-1.991. Subgroup analysis showed no significant interaction among multiple factors.

CONCLUSIONS

In summary, we report that lower PNI are associated with a higher risk of PAD in US adults. It is hoped that this discovery can provide a reference for the prevention of PAD.

Association between the triglyceride glucose index and heart failure: NHANES 2007-2018

Background

Patients with heart failure (HF) were compared with non-HF people to explore the relationship between the triglyceride glucose (TyG) index and HF in participants with cardiovascular and cerebrovascular diseases.

Methods

TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Multivariate logistic regression models were used to investigate the association between the TyG index and the risk of HF. Restricted cubic spline (RCS) analysis was applied to evaluate the dose-response relationship between the TyG index and the risk of HF.

Results

National Health and Nutrition Examination Survey (NHANES) (2007-2018) was used to analyze the association between TyG and HF in patients. A total of 13,825 participants who had their TyG index measured were included, involving 435 individuals with HF and 13,390 individuals without HF. Those with HF had higher levels of the TyG index compared with those without HF (8.91 ± 0.74 vs. 8.57 ± 0.66, p < 0.001). The odds ratio (OR) of HF for the TyG index from logistic regression was 1.644 and 1.057 in Model 1 (without adjusting for any variables) and Model 4 (adjusted for all covariates), respectively. Compared with individuals with Q1, a higher TyG index was related to the increased risk of HF. Model 1 showed that there was a linear dose-response relationship between the TyG index and HF (p = 0.686). The TyG index predicted the area of the receiver operating characteristic (ROC) curve of 0.602 (95% CI: 0.575-0.629, p < 0.001) and the optimal cutoff value was 8.91.

Conclusion

The TyG index was positively associated with the risk of HF. The TyG index may be a therapeutic target and an important predictor of HF.

Unveiling the Hidden Burden: Estimating All-Cause Mortality Risk in Older Individuals with Type 2 Diabetes

Background

The mortality rate among older persons with diabetes has been steadily increasing, resulting in significant health and economic burdens on both society and individuals. The objective of this study is to develop and validate a predictive nomogram for estimating the 5-year all-cause mortality risk in older persons with T2D (T2D).

Methods

We obtained data from the National Health and Nutrition Survey (NHANES). A random 7 : 3 split was made between the training and validation sets. By linking the national mortality index up until December 31, 2019, we ensured a minimum of 5 years of follow-up to assess all-cause mortality. A nomogram was developed in the training cohort using a logistic regression model as well as a least absolute shrinkage and selection operator (LASSO) regression model for predicting the 5-year risk of all-cause mortality. Finally, the prediction performance of the nomogram is evaluated using several validation methods.

Results

We constructed a comprehensive prediction model based on the results of multivariate analysis and LASSO binomial regression. These models were then validated using data from the validation cohort. The final model includes four independent predictors: age, gender, estimated glomerular filtration rate, and white blood cell count. The C-index values for the training and validation cohorts were 0.748 and 0.762, respectively. The calibration curve demonstrates satisfactory consistency between the two cohorts.

Conclusions

The newly developed nomogram proves to be a valuable tool in accurately predicting the 5-year all-cause mortality risk among older persons with diabetes, providing crucial information for tailored interventions.

Relationship between advanced lung cancer inflammation index and long-term all-cause, cardiovascular, and cancer mortality among type 2 diabetes mellitus patients: NHANES, 1999-2018

Background

Type 2 diabetes mellitus (T2DM) was a major global health threat. As a chronic low-grade inflammatory disease, the prognosis of diabetes was associated with inflammation. The advanced lung cancer inflammation index (ALI) served as a comprehensive index to assess inflammation. This study aimed to estimate the association between ALI and all-cause, cardiovascular disease (CVD), and cancer mortality in T2DM patients.

Methods

We extracted cohort data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999-2018 for analysis. The weighted Kaplan-Meier analysis and multivariate-adjusted Cox analysis were utilized to evaluate the relationship between ALI and all-cause, CVD, and cancer mortality in T2DM patients. Restricted cubic spline (RCS) analysis was employed to assess their non-linear relationship. Stratified analysis and interaction analysis were conducted to enhance the robustness of the results.

Results

The study incorporated a total of 3,888 patients. An increase in ALI was associated with a reduced risk of all-cause and CVD mortality in T2DM patients, but not related to cancer mortality. There were J-shaped and L-shaped non-linear relationships between ALI and all-cause, CVD mortality in T2DM patients, respectively. The inflection points were 90.20 and 93.06, respectively. For values below the inflection point, every 10U increase in ALI, both all-cause and CVD mortality risk decreased by 9%. Beyond the inflection point, all-cause mortality rose by 3%, while CVD mortality remained unaffected. Gender-stratified RCS analysis indicated a linear negative relationship between CVD mortality and ALI in female T2DM patients, whereas the trend in males aligned with the overall population.

Conclusion

Our research initially identified a significant correlation between increased ALI levels with decreased all-cause and CVD mortality in T2DM patients. There were J-shaped and L-shaped non-linear relationships between ALI and all-cause, CVD mortality in T2DM patients, respectively. For female patients, there was a linear negative relation between CVD mortality and ALI, whereas the trend in males aligned with the overall population. These findings suggested that maintaining ALI (for example, control body weight and keep albumin in the normal range) within a certain range in the clinical settings was crucial for improving all-cause and CVD mortality in T2DM patients.

Association of prognostic nutritional index with the risk of all-cause mortality and cardiovascular mortality in patients with type 2 diabetes: NHANES 1999-2018

INTRODUCTION

There is little bulk clinical evidence on nutritional status and mortality in patients with diabetes. The purpose of this study was to examine the relationship between prognostic nutritional index (PNI) and all-cause mortality and cardiovascular mortality in adults with diabetes.

RESEARCH DESIGN AND METHODS

This study included 5916 adult patients with diabetes from the National Health and Nutrition Examination Survey 1999-2018. Cox proportional risk models were used to estimate risk ratios (HRs) and 95% CIs for all-cause mortality, cardiovascular disease (CVD) mortality.

RESULTS

During a mean follow-up of 8.17 years, there were 1248 deaths from all causes and 370 deaths from CVD. After multivariate adjustment, the risk of all-cause mortality was reduced by 24%, 38%, and 28% in Q2 (49.0-52.99), Q3 (53.0-57.99), and Q4 (≥58.0), respectively, compared with Q1 (PNI<49.0). The risk of cardiovascular mortality was reduced by 30%, 27%, and 26%, respectively. Consistent results were observed in the subgroup analysis.

CONCLUSIONS

Lower serum PNI levels were significantly associated with higher all-cause and CVD mortality. These findings suggest that maintaining an appropriate range of serum PNI status may reduce the risk of death in patients with diabetes.