Prevalence and Prognostic Significance of Malnutrition in Hypertensive Patients in a Community Setting

Trait-anxiety, depressive symptoms, family support and life satisfaction as determinants conditioning the degree of adherence of people in pre-older adults and older adults

The objective of the study was to determine the degree of adherence to pharmacological treatment in people in pre-older adults and older adults age groups and to analyse the correlation between selected sociodemographic parameters, severity of anxiety as a trait, symptoms of depression, a sense of family support and satisfaction with life, and adherence in people over 55 years of age. The study was conducted in a group of 2,040 people (1,406 women, 634 men) aged 55 to 100 (the average age was 65.4). The following sociodemographic variables were analysed: age, gender, education. The following scales were used: State-Trait Anxiety Inventory (STAI), Beck Depression Inventory (BDI), Satisfaction With Life Scale (SWLS) and the Multidimensional Scale of Perceived Social Support (MSPSS). The Adherence in Chronic Diseases Scale (ACDS) was used to test adherence, understood as the implementation of the therapeutic plan. The results obtained in the ACDS ranged from 6 to 28 points; the median was 24 points (21-28). The multiple coefficients of determination (multiple R2 = 0.11; p < 0.001) indicated an explanation of approximately 11% of the value of the ACDS dependent variable. The total correlation of all variables (multiple R) with the ACDS general variable in the mean correlation was 0.33. Independent factors affecting adherence assessed in the ACDS were: severity of anxiety as a trait (p = -0.21 ± 0.03; p < 0.001), family support (p = 0.10 ± 0.04; p = 0.029), severity of depression symptoms (p = -0.08 ± 0.03; p = 0.005), age of respondents (p = 0.07 ± 0.02; p = 0.003) and satisfaction with life (p = 0.06 ± 0 0.03; p = 0.027). Severity of anxiety as a trait, age, severity of depressive symptoms, a sense of satisfaction with life and family support are important factors affecting adherence.

Establishment and evaluation of a nomogram for in-hospital new-onset atrial fibrillation after percutaneous coronary intervention for acute myocardial infarction

Background

New-onset atrial fibrillation (NOAF) is prognostic in acute myocardial infarction (AMI). The timely identification of high-risk patients is essential for clinicians to improve patient prognosis.

Methods

A total of 333 AMI patients were collected who underwent percutaneous coronary intervention (PCI) at Zhejiang Provincial People's Hospital between October 2019 and October 2020. Least absolute shrinkage and selection operator regression (Lasso) and multivariate logistic regression analysis were applied to pick out independent risk factors. Secondly, the variables identified were utilized to establish a predicted model and then internally validated by 10-fold cross-validation. The discrimination, calibration, and clinical usefulness of the prediction model were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, Hosmer-Lemeshow test decision curve analyses, and clinical impact curve.

Result

Overall, 47 patients (14.1%) developed NOAF. Four variables, including left atrial dimension, body mass index (BMI), CHA2DS2-VASc score, and prognostic nutritional index, were selected to construct a nomogram. Its area under the curve is 0.829, and internal validation by 10-fold cross-folding indicated a mean area under the curve is 0.818. The model demonstrated good calibration according to the Hosmer-Lemeshow test (P = 0.199) and the calibration curve. It showed satisfactory clinical practicability in the decision curve analyses and clinical impact curve.

Conclusion

This study established a simple and efficient nomogram prediction model to assess the risk of NOAF in patients with AMI who underwent PCI. This model could assist clinicians in promptly identifying high-risk patients and making better clinical decisions based on risk stratification.

National Trends in Mortality and Urgent Dialysis after Acute Hypertension in Japan From 2010 Through 2019

BACKGROUND

Despite increasing incidences of hypertension, recent trends in mortality and urgent dialysis following acute hypertension (AHT) remain undetermined.

METHODS

This retrospective observational cohort study evaluated 50 316 hospitalized AHT patients from 2010 to 2019, using an administrative claims database in Japan. We examined trends in incidence, urgent dialysis, mortality, and its risk factors using Poisson regression models. Using International Classification of Disease and Related Health Problems, 10th Revision codes, AHT was categorized into 5 spectrums: malignant hypertension (n=1792), hypertensive emergency (n=17 907), hypertensive urgency (n=1562), hypertensive encephalopathy (n=6593), and hypertensive heart failure (HHF; n=22 462).

RESULTS

The median age of the patients was 76 years, and 54.9% were women. The total AHT incidence was 70 cases per 100 000 admission year. The absolute death rate increased from 1.83% (95% CI, 1.40-2.40) to 2.88% ([95% CI, 2.42-3.41]; Cochran-Armitage trend test, P<0.0001). Upward trends were observed in patients aged ≥80, with lean body mass index ≤18.4, and with HHF. Urgent dialysis rates increased from 1.52% (95% CI, 1.12-2.06) to 2.60% (2.17-3.1; Cochran-Armitage trend test; P=0.0071) in 48 235 patients, excluding maintenance dialysis patients. Older age, men, lean body mass, malignant hypertension, HHF, and underlying chronic kidney disease correlated with higher mortality risk; greater hospital volume correlated with lower mortality risk; and malignant hypertension, HHF, diabetes, chronic kidney disease, and scleroderma correlated with a higher risk of urgent dialysis.

CONCLUSIONS

Mortality and urgent dialysis rates following AHT have increased. Aging, complex comorbidities, and HHF-type AHT contributed to the rising trend of mortality.

Naples Prognostic Score for Graft Functions After Renal Transplantation: A Retrospective Analysis

BACKGROUND The Naples prognostic score is a comprehensive measure of patients' inflammation and nutritional status, consisting of serum albumin, total cholesterol, neutrophil/lymphocyte ratio (NLR), and lymphocyte/monocyte ratio (LMR). We compared the Naples prognostic scores of kidney transplant patients with a creatinine reduction ratio of less than 30% vs those with greater than 30%. MATERIAL AND METHODS We conducted a retrospective study on 93 patients who received kidney transplants at our hospital from January 2020 to January 2023. Naples prognostic scores were used to calculate the preoperative condition of transplant recipients. The patients were divided into 2 groups based on their creatinine reduction ratio on the second day after surgery. Group A consisted of patients with a ratio above 30%, while group B consisted of those with a ratio below 30%. RESULTS Our analysis revealed that the total cholesterol and albumin values of groups A and B showed no substantial difference. Group B had clearly more patients with Naples prognostic score 3-4 compared to the other group (P=0.032). Multivariate analysis determined that patients with Naples prognostic score 3-4 had a 3.151-fold higher likelihood of experiencing creatinine reduction below 30% (95% CI 1.209-8.215, P value 0.019). CONCLUSIONS The preoperative inflammatory and nutritional status of patients may have an impact on the functioning of grafts during the postoperative period. A high Naples prognostic score may be linked with a decrease in creatinine reduction ratio in post-transplant kidneys, which could lead to graft dysfunction.

The advanced lung cancer inflammation index predicts long-term outcomes in patients with hypertension: National health and nutrition examination study, 1999–2014

Background

Malnutrition and systemic inflammation are associated with poor outcomes in patients with hypertension, and the two often coexist. However, few studies have combined nutritional and inflammatory status to assess the prognosis of patients with hypertension. The present study aimed to investigate the association between advanced lung cancer inflammation index (ALI), as a factor assessment the nutritional and inflammatory status, and long-term all-cause mortality of patients with hypertension.

Materials and methods

Data from the National Health and Nutrition Examination Survey (NHANES) 1999–2014 with mortality follow-up through December 31, 2015, were analyzed. A total of 15,681 participants were evaluated. The patients were grouped based on the ALI tertiles as follows: T1 (ALI ≤ 49.41, n = 5,222), T2 (ALI &gt; 49.41 and ≤ 76.29, n = 5,221), and T3 (ALI &gt; 76.29, n = 5,237) groups. Survival curves and Cox regression analysis based on the NHANES recommended weights were used to assess the relationship between nutritional and inflammatory status and long-term all-cause mortality.

Results

Advanced lung cancer inflammation index was significantly associated with long-term all-cause mortality in patients with hypertension. After adjustment for related factors, the T2 [hazard ratio (HR): 0.69, 95% confidence interval (CI): 0.58–0.83; P &lt; 0.001) and T3 (HR: 0.59, 95% CI: 0.47–0.74; P &lt; 0.001) groups were significantly associated with a decreased risk of all-cause mortality compared to the lower ALI level group (T1).

Conclusion

Advanced lung cancer inflammation index was a comprehensive index of nutrition and inflammation and an independent significant prognostic factor in hypertension patients in the American community. Systemic inflammatory and nutritional status assessment and monitoring are essential for the health of hypertensive patients.

Moderate-to-Severe Malnutrition Identified by the Controlling Nutritional Status (CONUT) Score Is Significantly Associated with Treatment Failure of Periprosthetic Joint Infection

The prevalence and role of malnutrition in periprosthetic joint infection (PJI) remain unclear. This study aimed to use measurable nutritional screening tools to assess the prevalence of malnutrition in PJI patients during two-stage exchange arthroplasty and to explore the association between malnutrition and treatment failure. Our study retrospectively included 183 PJI cases who underwent 1st stage exchange arthroplasty and had available nutritional parameters, of which 167 proceeded with 2nd stage reimplantation. The recently proposed Musculoskeletal Infection Society (MSIS) Outcome Reporting Tool was used to determine clinical outcomes. The Controlling Nutritional Status (CONUT), Nutritional Risk Index (NRI), and Naples Prognostic Score (NPS) were used to identify malnutrition at 1st and 2nd stage exchange, respectively. Multivariate logistic regression analyses were performed to determine the association between malnutrition and treatment failure. Restricted cubic spline models were further used to explore the dose−response association. Additionally, risk factors for moderate-to-severe malnutrition were evaluated. Malnourished patients identified by CONUT, NPS, and NRI accounted for 48.1% (88/183), 98.9% (181/183), and 55.7% (102/183) of patients at 1st stage, and 9.0% (15/167), 41.9% (70/167), and 43.1% (72/167) at 2nd stage, indicating a significant improvement in nutritional status. We found that poorer nutritional status was a predictor of treatment failure, with CONUT performing best as a predictive tool. Moderate-to-severe malnutrition at 1st stage identified by CONUT was significantly related to treatment failure directly caused by PJI (odds ratio [OR] = 5.86), while the OR was raised to 12.15 at 2nd stage (OR = 12.15). The linear dose−response associations between them were also confirmed (P for nonlinearity at both 1st and 2nd stage > 0.05). As for total treatment failure, moderate-to-severe malnutrition as determined by CONUT was associated with a 1.96-fold and 8.99-fold elevated risk at the 1st and 2nd stages, respectively. Age ≥ 68 years (OR = 5.35) and an increased number of previous surgeries (OR = 2.04) may be risk factors for moderate-to-severe malnutrition. Overall, the prevalence of malnutrition in PJI patients is very high. Given the strong association between moderate-to-severe malnutrition identified by CONUT and PJI treatment failure, COUNT could be a promising tool to evaluate the nutritional status of PJI patients to optimize treatment outcomes.