Pain perception is highly subjective, and effective pain management can be challenging in the elderly. We aimed to identify a set of practical measures that could be used to assess pain in elderly patients with or without cognitive impairment, as the first step towards effectively managing their pain. We used the PRISMA guidelines for this literature review. Two reviewers independently assessed titles, abstracts and full-text articles, and a third reviewer resolved any disagreements. A total of 11 285 abstracts and 103 full-text articles were assessed. Forty-one studies met the inclusion criteria. The Numeric Rating Scale, Visual Analogue Scale, Face Pain Scale and Verbal Descriptor Scale have proven valid in the elderly. The Abbey pain scale, Doloplus-2, Pain Assessment in Advanced Dementia scale, Pain Assessment Checklist for Seniors with Limited Ability to Communicate, Checklist of Nonverbal Pain Indicators, Pain Assessment for the Dementing Elderly rating tool and the Clinical Utility of the CNA Pain Assessment Tool are used in elderly patients with cognitive impairment. We identified a number of reliable and valid methods for pain assessment in the elderly. Elderly patients can receive treatment in a variety of settings, and frequently it is administered by a caregiver or family member, rather than a medical employee. The development of a pain assessment tool that is not subject to variations arising from differences in settings or caregivers is needed to assess pain accurately in elderly patients, and provide timely treatment. Natl Med J India 2017;30:203-7.

Background: Hypertension (HTN), diabetes mellitus (DM), and dyslipidemia (DL) are well-known risk factors of cardiovascular disease (CVD), but not all patients develop CVDs. Studies have been limited investigating genetic risk of CVDs specific to individuals with metabolic diseases. This study aimed to identify disease-specific and/or common genetic loci associated with CVD susceptibility in chronic metabolic disease patients. Methods: We conducted a genome-wide association study (GWAS) of a multiple case–control design with data from the City Cohort within Health EXAminees subcohort of the Korean Genome and Epidemiology Study (KoGES_HEXA). KoGES_HEXA is a population-based prospective cohort of 173,357 urban Korean adults that had health examinations at medical centers. 42,393 participants (16,309 HTN; 5,314 DM; 20,770 DL) were analyzed, and each metabolic disease group was divided into three CVD case-controls: coronary artery disease (CAD), ischemic stroke (IS), and cardio-cerebrovascular disease (CCD). GWASs were conducted for each case–control group with 7,975,321 imputed single nucleotide polymorphisms using the Phase 3 Asian panel from 1000 Genomes Project, by logistic regression and controlled for confounding variables. Genome-wide significant levels were implemented to identify important susceptibility loci. Results: Totaling 42,393 individuals, this study included 16,309 HTN (mean age [SD], 57.28 [7.45]; 816 CAD, 398 IS, and 1,185 CCD cases), 5,314 DM (57.79 [7.39]; 361 CAD, 153 IS, and 497 CCD cases), and 20,770 DL patients (55.34 [7.63]; 768 CAD, 295 IS, and 1,039 CCD cases). Six genome-wide significant CVD risk loci were identified, with relatively large effect sizes: 1 locus in HTN (HTN-CAD: 17q25.3/CBX8-CBX4 [OR, 2.607; P = 6.37 × 10⁻⁹]), 2 in DM (DM-IS: 4q32.3/MARCH1-LINC01207 [OR, 5.587; P = 1.34 × 10⁻⁸], and DM-CCD: 17q25.3/RPTOR [OR, 3.511; P = 1.99 × 10⁻⁸]), and 3 in DL (DL-CAD: 9q22.2/UNQ6494-LOC101927847 [OR, 2.282; P = 7.78 × 10⁻⁹], DL-IS: 3p22.1/ULK4 [OR, 2.162; P = 2.97 × 10⁻⁸], and DL-CCD: 2p22.2/CYP1B1-CYP1B1-AS1 [OR, 2.027; P = 4.24 × 10⁻⁸]). Conclusions: This study identified 6 susceptibility loci and positional candidate genes for CVDs in HTN, DM, and DL patients using an unprecedented study design. 1 locus (17q25.3) was commonly associated with CAD. These associations warrant validation in additional studies for potential therapeutic applications.

Understanding the mechanisms underlying the metabolically unhealthy normal weight (MUHNW) and metabolically healthy obese (MHO) phenotypes is important for developing strategies to prevent cardiometabolic diseases. Here, we conducted genome-wide association studies (GWASs) to identify the MUHNW and MHO genetic indices. The study dataset comprised genome-wide single-nucleotide polymorphism genotypes and epidemiological data from 49,915 subjects categorised into four phenotypes—metabolically healthy normal weight (MHNW), MUHNW, MHO, and metabolically unhealthy obese (MUHO). We conducted two GWASs using logistic regression analyses and adjustments for confounding variables (model 1: MHNW versus MUHNW and model 2: MHO versus MUHO). GCKR, ABCB11, CDKAL1, LPL, CDKN2B, NT5C2, APOA5, CETP, and APOC1 were associated with metabolically unhealthy phenotypes among normal weight individuals (model 1). LPL, APOA5, and CETP were associated with metabolically unhealthy phenotypes among obese individuals (model 2). The genes common to both models are related to lipid metabolism (LPL, APOA5, and CETP), and those associated with model 1 are related to insulin or glucose metabolism (GCKR, CDKAL1, and CDKN2B). This study reveals the genetic architecture of the MUHNW and MHO phenotypes in a Korean population-based cohort. These findings could help identify individuals at a high metabolic risk in normal weight and obese populations and provide potential novel targets for the management of metabolically unhealthy phenotypes.

Purpose: Limited evidence is available on whether the white blood cell (WBC) count is a predictor of type 2 diabetes mellitus (T2DM) in non-obese individuals. This study aimed to determine whether WBC count could be used as an indicator for the prediction of incident T2DM among non-obese individuals using a large, community-based Korean cohort that was observed over 10 years. Patients and methods: A total of 4211 non-obese adults without diabetes aged 40– 69 years were selected from the Korean Genome and Epidemiology Study. The participants were divided into four groups according to WBC count quartiles. We prospectively assessed the hazard ratios (HRs) with 95% confidence intervals (CIs) for incident T2DM, based on the American Diabetes Association criteria, using multivariate Cox proportional hazards regression models over 10 years after the baseline survey. Results: During the follow-up period, 592 (14.1%) participants had newly developed T2DM. The higher quartile of WBC count groups showed significantly higher cumulative T2DM incidence over 10 years after the baseline survey (log-rank test, P < 0.001). Compared with the HRs for individuals in the referent lowest quartile, the HR (95% CI) for incident T2DM in individuals in the highest quartile was 1.55 (1.10– 2.18) after adjusting for confounding variables. Conclusion: A higher WBC count predicts future incident T2DM among community-dwelling non-obese Korean adults. This study suggests that WBC count could facilitate the prediction of non-obese individuals susceptible to T2DM.

The aim of this study was to investigate the longitudinal change in muscle mass over 10 years according to serum calcium levels and calcium intake. A total of 1497 men and 1845 women aged 50 years and older were included. Significant muscle loss (SML) was defined as a 5% or greater loss from baseline, while time-dependent development of SML was assessed according to quartiles for corrected calcium level and daily calcium intake using Cox regression models. The incidence of SML was 6.7 and 7.7 per 100-person-years among men and women, respectively. Groups with the lowest corrected calcium levels had more prominent SML than those with higher calcium levels, regardless of sex. The relationship between SML and calcium intake was significant only among women. The hazard ratio for SML per 1 mmol/L increase in corrected calcium level was 0.236 and 0.237 for men and women, respectively. In conclusion, low serum calcium levels may predict SML among adults aged ≥ 50 years, while low calcium intake may be a predictor for muscle loss among women. Therefore, encouraging dietary calcium intake among middle-aged and older adults for preservation of muscle mass should be considered.

Geriatric syndromes are associated with morbidity and poor quality of life (QOL). Urinary incontinence (UI) is one of the most prevalent geriatric syndromes. However, there is little research on the association of UI and UI-related QOL with other geriatric syndromes. We investigated the relationship between geriatric syndromes and UI according to gender and UI-related QOL among older inpatients. This study was conducted among 444 older inpatients (aged 65 years and older) between October 2016 and July 2017. We examined geriatric syndromes and related factors involving cognitive impairment, delirium, depression, mobility decline, polypharmacy, undernutrition, pain, and fecal incontinence. UI-related QOL was assessed using the International Consultation on Incontinence Questionnaire-Short Form. Multiple logistic regression analysis was used to evaluate these associations. Geriatric syndromes and related factors were associated with UI. Mobility decline (odds ratio [OR], 4.16; 95% confidence interval [CI], 2.29-7.56), polypharmacy (OR, 3.35; 95% CI, 1.89-5.92), and pain (OR, 6.80; 95% CI, 3.53-13.09) were related to UI in both genders. Especially, delirium (OR, 7.55; 95% CI, 1.61-35.44) and fecal incontinence (OR, 10.15; 95% CI, 2.50-41.17) were associated with UI in men, while cognitive impairment (OR, 4.19; 95% CI, 1.14-15.44) was significantly associated with UI in women. Patients with depression were more likely to have poor UI-related QOL (OR, 8.54; 95% CI, 1.43-51.15). UI was associated with different geriatric syndromes and related factors according to gender. Care for patients with depression, related to poor UI-related QOL, should be considered in primary care to improve the UI-related QOL of these individuals.