Prevalence and types of cancer in older Indians: A multicentric observational study across 17 institutions in India.

The global demographic and epidemiological transition have led to a rapidly increasing burden of cancer, particularly among older adults. There are scant data on the prevalence and demographic pattern of cancer in older Indian persons. This was a multicentric observational study conducted between January 2019 and December 2020. Data were retrieved from existing electronic databases to gather information on two key variables: the total number of patients registered with oncologists and the number of patients aged 60 years and above. The primary objective was to determine the percentage of older adults among patients with cancer served by these hospitals. Secondary objectives included understanding the prevalence of different types of cancer in the older population, and the sex- and geographic distribution of cancer in older Indian patients. We included 272,488 patients with cancer from 17 institutes across India. Among them, 97,962 individuals (36 %) were aged 60 years and above. The proportion of older adults varied between 20.6 % and 53.6 % across the participating institutes. The median age of the older patients with cancer was 67 (interquartile range, 63-72) years. Of the 54,281 patients for whom the details regarding sex were available, 32,243 (59.4 %) were male. Of the 56,903 older patients, head and neck malignancies were the most prevalent, accounting for 11,158 cases (19.6 %), followed by breast cancer (6260 cases, 11 %), genitourinary cancers (6242 cases, 10.9 %), lung cancers (6082 cases, 10.7 %), hepatopancreaticobiliary (6074, 10.7 %), and hematological malignancies (5226 cases, 9.2 %). Over one-third of Indian patients with cancer are aged 60 years and above, with a male predominance. Head and neck, breast, and genitourinary cancers are the most prevalent in this age group. Characterizing the burden of cancer in older adults is crucial to enable tailored interventions and additional research to improve the care and support for this vulnerable population.

Gait Parameters Change can be an Early Marker of Cognitive Impairment.

BACKGROUND AND OBJECTIVE: Gait impairment leads to increased dependence, morbidity, institutionalization, and mortality in older people. We intended to assess gait parameters with the continuum of cognitive impairment and observe variation with the severity of cognitive impairment. MATERIALS AND METHODS: This cross-sectional, observational study was conducted at the memory clinic of a tertiary care center. One hundred and twelve subjects were recruited, and cognition was assessed by the Clinical Dementia Rating scale. Usual gait was assessed by a 6-m walk test, and the dynamic gait was assessed using Biodex Gait Trainer™. Apart from crude analysis, adjusted linear regression was used to find the association of spatiotemporal gait parameters with cognitive decline. RESULTS: Subjects were divided into subjective cognitive decline (SCD; n = 38), mild cognitive impairment (MCI; n = 40), and major neurocognitive disorder (MNCD; n = 34) groups. History of falls (23.7% vs. 30.0% vs. 67.7%, P < 0.001) and impaired activities of daily living (ADLs) (5.3% vs. 15.0% vs. 100%, P < 0.001) were significantly higher with cognitive decline. Age- and gender-adjusted regression analysis revealed that usual gait speed (0.8 vs. 0.6 vs. 0.5, P < 0.001) (m/s), total time (3.9 vs. 2.9 vs. 2.6, P = 0.022) (min), total distance (65.6 vs. 55.8 vs. 46.6, P = 0.025) (m), step cycle time (0.6 vs. 0.8 vs. 0.8, P = 0.020) (cycles/s), and step lengths were significant. CONCLUSION: Gait speed and other parameters worsened with increasing cognitive impairment. Changes in gait parameters might be a useful marker of declining cognition, though a long-term follow-up study is required to establish this association. Early intervention could be beneficial in preserving autonomy in patients with cognitive impairment.

Clinical and neuropsychological characterization of SuperAgers residing in Delhi and National Capital Region of India-A cross-sectional study.

Introduction: SuperAgers (SA) are older adults who exhibit cognitive capacities comparable to individuals who are three or more decades younger than them. The current study aimed to identify the characteristics of Indian SA by categorizing 55 older adults into SA and Typical Older Adults (TOA) and comparing their performance with a group of 50 younger participants (YP) (aged 25-50). Methods: A total of 105 participants were recruited after obtaining informed written consent. The cognitive abilities of the participants were assessed using Wechsler Adult Intelligence Scale (WAIS)-IVINDIA, Color Trails Test, Boston Naming Test (BNT), and Rey Auditory Verbal Learning Test. Results: SA outperformed TOA in all cognitive assessments (P < 0.001) and surpassed YP in BNT and WAIS-IV. SA's delayed recall scores were notably higher (12.29 ± 1.51) than TOA (6.32 ± 1.44). Conclusion: SA excelled in all cognitive domains demonstrating resilience to age-related cognitive decline. This study highlights Indian SuperAgers' exceptional cognitive prowess.

Assessing frailty in older Indian patients before cancer treatment: Comparative analysis of three scales and their implications for overall survival.

INTRODUCTION: Frailty, characterized by ageing-related vulnerability, influences outcomes in older adults. Our study aimed to investigate the relationship between frailty and clinical outcomes in older Indian patients with cancer. MATERIALS AND METHODS: Our observational single-centre study, conducted at Tata Memorial Hospital from February 2020 to July 2022, enrolled participants aged 60 years and above with cancer. Frailty was assessed using the Clinical Frailty Scale (CFS), G8, and Vulnerable Elders Survey (VES)-13. The primary objective was to explore the correlation between baseline frailty and overall survival. Statistical analyses include Kaplan-Meier, Cox proportional hazards, and Harrell's C test. RESULTS: A total of 1,177 patients (median age 68, 76.9% male) were evaluated in the geriatric oncology clinic. Common malignancies included lung (40.0%), gastrointestinal (35.8%), urological (11.9%), and head and neck (9.0%), with 56.5% having metastatic disease. Using CFS, G8, and VES-13 scales, 28.5%, 86.4%, and 38.0% were identified as frail, respectively. Median follow-up was 11.6 months, with 43.3% deaths. Patients fit on CFS (CFS 1-2) had a median survival of 28.02 months, pre-frail (CFS 3-4) 13.24 months, and frail (CFS ≥5) 7.79 months (p < 0.001). Abnormal G8 (≤14) and VES-13 (≥3) were associated with significantly lower median survival (p < 0.001). Multivariate analysis confirmed CFS's predictive power for mortality (p < 0.001), with hazard ratios [HRs] for pre-frail at 1.61(95% confidence interval [CI] 1.25 to 2.06) and frail at 2.31 (95%CI 1.74 to 3.05). G8 ≤ 14 had HR 2.00 (95%CI 1.42 to 2.83), and abnormal VES-13 had HR 1.36 (95%CI 1.11-1.67). In the likelihood ratio test, CFS significantly improved the model fit (p < 0.001). Harrell's C index for survival prediction was 0.62 for CFS, 0.54 for G8, and 0.58 for VES-13. DISCUSSION: In conclusion, our study highlights varying frailty prevalence and prognostic implications in older Indian patients with cancer, emphasizing the need for personalized care in oncology for this aging population. We would recommend using CFS as a tool to screen for frailty for older Indian patients with cancer.

Performance of potentially inappropriate medications assessment tools in older Indian patients with cancer.

BACKGROUND: Polypharmacy and potentially inappropriate medication (PIM) use are common problems in older adults. Safe prescription practices are a necessity. The tools employed for the identification of PIM sometimes do not concur with each other. METHODS: A retrospective analysis of patients ≥60 years who visited the Geriatric Oncology Clinic of the Tata Memorial Hospital, Mumbai, India from 2018 to 2021 was performed. Beer's-2015, STOPP/START criteria v2, PRISCUS-2010, Fit fOR The Aged (FORTA)-2018, and the EU(7)-PIM list-2015 were the tools used to assess PIM. Every patient was assigned a standardized PIM value (SPV) for each scale, which represented the ratio of the number of PIMs identified by a given scale to the total number of medications taken. The median SPV of all five tools was considered the reference standard for each patient. Bland-Altman plots were utilized to determine agreement between each scale and the reference. Association between baseline variables and PIM use was determined using multiple logistic regression analysis. RESULTS: Of the 467 patients included in this analysis, there were 372 (79.66%) males and 95 (20.34%) females with an average age of 70 ± 5.91 years. The EU(7)-PIM list was found to have the highest level of agreement given by a bias estimate of 0.010, the lowest compared to any other scale. The 95% CI of the bias was in the narrow range of -0.001 to 0.022, demonstrating the precision of the estimate. In comparison, the bias (95%) CI of Beer's criteria, STOPP/START criteria, PRISCUS list, and FORTA list were -0.039 (-0.053 to -0.025), 0.076 (0.060 to 0.092), 0.035 (0.021 to 0.049), and -0.148 (-0.165 to -0.130), respectively. Patients on polypharmacy had significantly higher PIM use compared to those without (OR = 1.47 (1.33-1.63), p = <0.001). CONCLUSIONS: The EU(7)-PIM list was found to have the least bias and hence can be considered the most reliable among all other tools studied.

Defining anthropometric thresholds (mid-arm circumference and calf circumference) in older adults residing in the community: a cross-sectional analysis using data from the population representative Longitudinal Aging Study in India (LASI DAD).

OBJECTIVES: To identify factors associated with malnutrition (undernutrition and overnutrition) and determine appropriate cut-off values for mid-arm circumference (MAC) and calf circumference (CC) among community-dwelling Indian older adults. DESIGN: Data from the first wave of harmonised diagnostic assessment of dementia for Longitudinal Ageing Study in India (LASI-DAD) were used. Various sociodemographic factors, comorbidities, geriatric syndromes, childhood financial and health status were included. Anthropometric measurements included body mass index (BMI), MAC and CC. SETTING: Nationally representative cohort study including 36 Indian states and union territories. PARTICIPANTS: 4096 older adults aged >60 years from LASI DAD. OUTCOME MEASURES: The outcome variable was BMI, categorised as low (<18.5 kg/m2), normal (18.5-22.9 kg/m2) and high (>23 kg/m2). The cut-off values of MAC and CC were derived using ROC curve with BMI as the gold standard. RESULTS: 902 (weighted percentage 20.55%) had low BMI, 1742 (44.25%) had high BMI. Undernutrition was associated with age, wealth-quintile and impaired cognition, while overnutrition was associated with higher education, urban living and comorbidities such as hypertension, diabetes and chronic heart disease. For CC, the optimal lower and upper cut-offs for males were 28.1 cm and >31.5 cm, respectively, while for females, the corresponding values were 26 cm and >29 cm. Similarly, the optimal lower and upper cut-offs for MAC in males were 23.9 cm and >26.9 cm, and for females, they were 22.5 cm and >25 cm. CONCLUSION: Our study identifies a high BMI prevalence, especially among females, individuals with higher education, urban residents and those with comorbidities. We establish gender-specific MAC and CC cut-off values with significant implications for healthcare, policy and research. Tailored interventions can address undernutrition and overnutrition in older adults, enhancing standardised nutritional assessment and well-being.