Mortality in patients with stages 4 and 5 chronic kidney disease (CKD) is higher than in the general population. Body composition predicts mortality. Our objective was to evaluate the effect of body composition on mortality in patients with stages 4 and 5 non-dialysis CKD. We performed a prospective study of 356 patients with stages 4 and 5 non-dialysis CKD. At baseline, we recorded general characteristics, history of cardiovascular events, body composition, serum inflammatory markers, nutrition and cardiac biomarkers. Body composition was analysed using bioimpedance spectroscopy. We recorded the lean tissue index (LTI), fat tissue index (FTI) and overhydration (OH). During a median (range) follow-up of 22 (3-49) months, we recorded mortality, cardiovascular events and progress to renal replacement therapy. At baseline, mean (± standard deviation) age was 67 ± 13 years (men 64%; diabetes 36%). Mean body mass index was 28.2 ± 12.8 kg/m, the FTI was 12.3 ± 5.6 kg/m, the LTI was 15.7 ± 3.4 kg/m and median (interquartile range) OH was 0.6 (-0.4 to 1.5) L. Sixty-four (18%) patients died during follow-up. The univariate Cox analysis showed an association between mortality and age, low LTI, high Charlson comorbidity index, previous cardiovascular events, OH, low albumin and prealbumin levels, and high C-reactive protein levels. Kaplan-Meier analysis revealed higher survival in patients with a higher LTI (log-rank, 9.47; P = 0.002). The multivariate Cox analysis confirmed an association between mortality and low LTI (P = 0.031), previous cardiovascular events (P = 0.003) and high Charlson comorbidity index (P = 0.01). We did not find any association between body composition and cardiovascular events or renal replacement therapy. A low LTI is an independent factor for mortality in patients with stages 4 and 5 CKD.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381238PMC
http://dx.doi.org/10.1093/ckj/sfw126DOI Listing

Publication Analysis

Top Keywords

patients stages
20
body composition
20
cardiovascular events
20
mortality patients
16
stages non-dialysis
12
low lti
12
lean tissue
8
mortality
8
factor mortality
8
chronic kidney
8

Similar Publications

Classification of influencing factors of speaking-up behaviour in hospitals: a systematic review.

BMC Health Serv Res

December 2024

Centre for Safety in Healthcare, at the Faculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, Delft, 2628 BX, the Netherlands.

Background: Speaking up among healthcare professionals plays an essential role in improving patient safety and quality of care, yet it remains complex and multifaceted behaviour. Despite awareness of potential risks and adverse outcomes for patients, professionals often hesitate to voice concerns due to various influencing factors. This complexity has encouraged research into the determinants of speaking-up behaviour in hospital settings.

View Article and Find Full Text PDF

Longitudinal CT Radiomics to Predict Progression-free Survival in Patients with Locally Advanced Gastric Cancer After Neoadjuvant Chemotherapy.

Acad Radiol

December 2024

Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China (B.W., X.H., Z.Z., Z.L., S.L.). Electronic address:

Rationale And Objectives: To develop and validate a radiomics signature, utilizing baseline and restaging CT, for preoperatively predicting progression-free survival (PFS) after neoadjuvant chemotherapy (NAC) in locally advanced gastric cancer (LAGC).

Methods: A total of 316 patients with LAGC who received NAC followed by gastrectomy were retrospectively included in this single-center study; these patients were split into two cohorts, one for training (n = 243) and the other for validation (n = 73), based on the different districts of our hospital. A total of 1316 radiomics features were extracted from the volume of interest of the gastric-cancer lesion on venous phase CT images.

View Article and Find Full Text PDF

Early Lung Adenocarcinoma Manifesting as Irregular Subsolid Nodules: Clinical and CT Characteristics.

Acad Radiol

December 2024

Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing 400016, China (P.-l.Z., T.-y.L., F.-j.L., Q.L.). Electronic address:

Rationale And Objectives: To explore the clinical and computed tomography (CT) characteristics of early-stage lung adenocarcinoma (LADC) that presents with an irregular shape.

Materials And Methods: The CT data of 575 patients with stage IA LADC and 295 with persistent inflammatory lesion (PIL) manifesting as subsolid nodules (SSNs) were analyzed retrospectively. Among these patients, we selected 233 patients with LADC and 140 patients with PIL, who showed irregular SSNs, hereinafter referred to as irregular LADC (I-LADC) and irregular PIL (I-PIL), respectively.

View Article and Find Full Text PDF

Background: Recommended treatment after acute coronary syndrome (ACS) involves high-intensity statin therapy to achieve the low-density lipoprotein (LDL-C) target of<1.4mmol/L (European guidelines), but many patients discontinue statins because of real or perceived side-effects. Whether body mass index (BMI) influences statin intolerance remains unclear.

View Article and Find Full Text PDF

Should endoscopic submucosal dissection be offered to patients with early colorectal cancer?

Surgery

December 2024

Department of Colorectal Surgery, Digestive Disease & Surgery Institute, Cleveland Clinic, Cleveland, OH. Electronic address:

Background: Endoscopic submucosal dissection is increasingly used to treat early-stage colorectal cancer. This study evaluated the feasibility of endoscopic submucosal dissection in this setting and the determinants of lymph node metastasis.

Methods: We reviewed patients who underwent colorectal endoscopic submucosal dissection for early-stage colorectal cancer at a tertiary center between 2011 and 2023.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!