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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 (36â¯%) were aged 60 years and above. The proportion of older adults varied between 20.6â¯% and 53.6â¯% 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 (59.4â¯%) were male. Of the 56,903 older patients, head and neck malignancies were the most prevalent, accounting for 11,158 cases (19.6â¯%), followed by breast cancer (6260 cases, 11â¯%), genitourinary cancers (6242 cases, 10.9â¯%), lung cancers (6082 cases, 10.7â¯%), hepatopancreaticobiliary (6074, 10.7â¯%), and hematological malignancies (5226 cases, 9.2â¯%). 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.
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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.
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Frailty , Neoplasms , Humans , Male , Aged , Female , Frailty/diagnosis , Frailty/epidemiology , Neoplasms/therapy , Neoplasms/pathology , Prognosis , Proportional Hazards Models , Surveys and QuestionnairesABSTRACT
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.
Subject(s)
Inappropriate Prescribing , Neoplasms , Polypharmacy , Potentially Inappropriate Medication List , Humans , Female , Male , Aged , Neoplasms/drug therapy , India , Retrospective Studies , Inappropriate Prescribing/statistics & numerical data , Middle Aged , Aged, 80 and over , Geriatric Assessment/methodsABSTRACT
Nikhil PathiIndia's population is aging, with the number of people aged 60 and over projected to reach 340 million by 2050. This is expected to lead to an increase in the number of older adults with cancer. Geriatric oncology is a rapidly growing field in India that is facing several challenges. Some of these include inadequate access to cancer screening and early detection programs in elderly, leading to late diagnoses and poor outcomes, lack of specialized geriatric oncology services, cancer-specific treatment guidelines and protocols in elderly, limited availability of treatment options due to accessibility, finances and other logistic issues, lack of trained healthcare professionals with expertise in geriatric oncology, lack of awareness, and access to early integrated palliative care services. There are several challenges faced by elderly in this journey like financial dependency, social isolation, difficulty in transportation to healthcare for treatments, and psychosocial aspects attributed to cancer. Awareness about availability of resources, patient assistance programs to reduce financial burdens, education campaigns, use of telemedicine and telehealth services to bypass transportation issues in remote and underserved areas, and integration of geriatric oncology into mainstream oncology services might be some solutions. Additionally, there is a need for more research on the unique characteristics and needs of older cancer patients in India, as well as the development of culturally appropriate interventions to address these needs. Development of India-specific geriatric assessment scales encompassing medical, psychosocial, and functional problems in elderly identifies areas of vulnerability. A multidisciplinary team-based decision-making is required at various levels. There is a need for increased investment in geriatric oncology research, training, and integrated palliative care services in India. Geriatric oncology is slowly being recognized as a separate subspeciality and more geriatric oncology centers and clinics are being set up in major cities in India that should be the way forward.
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Geriatric oncology in India is relatively new. The number of older persons with cancer is increasing exponentially; at our institution, 34% of patients registered are 60 years and over. Apart from the Tata Memorial Hospital in Mumbai, there are currently no other Indian centers that have a dedicated geriatric oncology unit. Geriatric assessments (GAs) are done sporadically, and older patients with cancer are usually assessed and treated based on clinical judgement. Challenges to increasing the uptake of GA include a lack of training/time/interest or knowledge of the importance of the GA. Other challenges include a lack of trained personnel with expertise in geriatric oncology, and a paucity of research studies that seek to advance the outcomes in older Indian patients with cancer. We anticipate that over the next 10 years, along with the inevitable increase in the number of older persons with cancer in India, there will be a commensurate increase in the number of skilled personnel to care for them. Key goals for the future include increased research output, increased number of dedicated geriatric oncology units across the country, India-specific geriatric oncology guidelines, geriatric oncology training programs, and a focus on collaborative work across India and with global partners. In this narrative review, we provide a broad overview of the status of geriatric oncology in India, along with a description of the work done at our center. We hope to spark interest and provide inspiration to readers to consider developing geriatric oncology services in other settings.
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INTRODUCTION: The number of older patients with cancer is increasing exponentially worldwide, and a similar trend has also been noted in India. The Multidimensional Prognostic Index (MPI) strongly correlates the presence of individual comorbidities with mortality, and the Onco-MPI prognosticates patients accurately for overall mortality. However, limited studies have evaluated this index in patient populations beyond Italy. We evaluated the performance of the Onco-MPI index in predicting mortality in older Indian patients with cancer. MATERIALS AND METHODS: This observational study was conducted between October 2019 and November 2021 in the Geriatric Oncology Clinic at Tata Memorial Hospital in Mumbai, India. The data of patients aged ≥60 years with solid tumors who underwent a comprehensive geriatric assessment was analysed. The study's primary aim was to calculate the Onco-MPI for patients in the study and correlate it with one-year mortality. RESULTS: A total of 576 patients aged ≥60 years were included in the study. The median age (range) of the population was 68 (60-90) years, and 429 (74.5%) were male. After a median follow-up of 19.2 months, 366 (63.7%) patients had died. The proportion of patients classified as low risk (0-0.46), moderate risk (0.47-0.63) and high risk (0.64-1.0) were 38% (219 patients), 37% (211 patients) and 25% (145 patients), respectively. There was a significant difference in one-year mortality rates between the low-risk patients compared to medium and high-risk patients (40.6% vs 53.1% vs 71.7%; p < 0.001). DISCUSSION: The current study validates the Onco-MPI as a predictive tool for estimating short-term mortality in older Indian patients with cancer. Further prospective studies need to build on this index to obtain a score with greater discrimination in the Indian population.