Evidence map›Paper›PMID 32431494›Full record

ArticleClinical interventions in aging2020

Main Risk Factors Related to Activities of Daily Living in Non-Dialysis Patients with Chronic Kidney Disease Stage 3-5: A Case-Control Study.

Jing Chang, Wen-Wen Hou, Yan-Fei Wang, Qian-Mei Sun

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Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jing Chang *Department of Internal Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-2708-3921
Wen-Wen Hou *Department of Internal Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China.
Yan-Fei WangDepartment of Internal Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China.
Qian-Mei SunDepartment of Internal Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionElderly people are at increased risk of falls, disability and death due to reduced functional reserve, decline in multiple systems functions, which affects their activities of daily living (ADL) and eventually develop into frailty. The ADL assessment is conducive to early detection to avoid further serious situations. Previous studies on patients' activities of daily living with chronic kidney disease (CKD) are mainly focused on dialysis patients. Little information is available on non-dialysis patients. PATIENTS AND

methodsA total of 303 elderly patients with CKD stage 3-5 who were admitted to our hospital were selected. ADL evaluation was performed on patients at admission, with Barthel index (BI) as the evaluation tool. They were divided into two groups based on BI (≥60 and <60). Demographic information, lifestyle and clinical profile were collected. The risk factors related to ADL were analyzed by univariate and multivariate models.

resultsThe data of 303 patients enrolled in this study were analyzed. The average age of patients was 84.48± 7.14 years and 62.05% were male. There were 88 patients (29.04%) in BI <60 group and 215 patients (70.96%) in the BI ≥60 group. The average age of subjects in the two groups was 87.47 ± 5.85 years and 83.26± 7.28 years, respectively. On univariate analysis, ADL impairment was associated with many factors, such as age, body mass index, blood lipid, heart rate, smoking history, Charlson comorbidity index (CCI), hemoglobin, serum albumin, BNP, eGFR, etc. Multivariate logistic regression showed that age (OR 1.08, 95% CI 1.00-1.17, P=0.0390), Charlson comorbidity index (OR 4.75, 95% CI 1.17-19.30, P=0.0295), and serum albumin (OR 0.80, 95% CI 0.70-0.92, P=0.0012) were the independent risk factors of ADL impairment.

conclusionDecline of ADL in CKD patients was independently correlated with age, Charlson comorbidity index and serum albumin. ADL and its influential factors in the elderly CKD patients deserve further attention.

Indexed as

Activities of Daily LivingAgedAged, 80 and overAge FactorsBody Mass IndexCase-Control StudiesComorbidityFemaleGlomerular Filtration RateHumansLife StyleLogistic ModelsMaleRenal DialysisRenal Insufficiency, ChronicRisk Factorsactivities of daily livingchronic kidney diseaserisk factors

Identifiers

PMID32431494
PMCPMC7200239

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.