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.

Predictors of Survival Among the Oldest Old Following Acute Hospital Admission: Insights From Clinical and Biochemical Factors.

Understanding the factors influencing survival in oldest old population is crucial for providing appropriate care and improving outcomes. This prospective observational study aimed to investigate the determinants of survival in acutely ill oldest old patients during acute hospitalization and 1-month follow-up. Various geriatric domains and biochemical markers were assessed. Among the 70 included patients with a median age of 87 (Inter quartile range: 85-90), the presence of diabetes, delirium, tachypnea, and high sirtuin-5 levels were associated with reduced in-hospital survival. Non-survivors had raised levels of Sirtuin 1 and Sirtuin 5, with an increase of 43% and 70%, respectively. At 1 month, delirium and diabetes were still associated with reduced survival. These findings suggest that type-2 diabetes, delirium, tachypnea, and high sirtuin-5 levels could serve as predictors of reduced survival in acutely ill, hospitalized oldest old patients.

The current status of geriatric oncology in India.

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.

Validation of the Onco-MPI in predicting short-term mortality in older Indian patients with cancer.

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.

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.

Parkinsonism: An emerging post COVID sequelae.

Parkinsonism has a complex and multifactorial aetiology and the role of post viral infection parkinsonism has been documented. The recent pandemic has made it clear that COVID-19 causes respiratory disease and affects multiple organs, which includes the central nervous system. Here we report three cases of post COVID parkinsonism occurring in older adults, age 60 years and above, and their response to levodopa-carbidopa.

Addressing the Needs of Older Adults With Cancer in Low- and Middle-Income Settings.

The number of older adults in the world is projected to increase steeply over the next 30 years; most older adults will live in low- and middle-income countries. This will have a direct impact on the global cancer burden, as cancer is largely a disease of aging. A revolution in the way we care for older adults in low- and middle-income settings is needed to meet rapidly rising demands. Regardless of a nation's relative wealth or resources, implementing the geriatric assessment in cancer care has presented a challenge because of omission of the principles of geriatric oncology from formal training and continuing education, lack of time, and a shortage of qualified personnel. To meet the challenge of caring for older adults globally, we must: (1) re-imagine aging-focused training for providers and nurses, (2) create and strengthen collaborations/partnerships between geriatric oncology teams and aging-service organizations, and (3) increase advocacy for age-friendly health care policy. By harnessing technology, the reach of specialized oncology education and care can be extended even-or especially-to low- and middle-income settings.

Xanthogranulomatous pyelonephritis due to Aspergillus in a non-diabetic older patient.

Xanthogranulomatous pyelonephritis is a rare condition characterised by destructive granulomatous inflammation of renal parenchyma. Primary renal Aspergillosis has been reported in patients with immunocompromised states such as diabetes, retroviral disease, organ transplant recipients, etc. We present a unique case of an older adult in his early 60s, presenting with fever and left flank pain with renal angle tenderness, diagnosed with primary renal aspergillosis with xanthogranulomatous pyelonephritis. These symptoms resolved with a long duration of antifungal (itraconazole) therapy and nephrectomy. The unique features are the development of fungal pyelonephritis in the absence of any immunocompromising conditions and the development of xanthogranulomatous changes with no risk factors.

Case Report: Hypercalcemia in an Older Patient with Type I Lepra Reaction.

Leprosy is a rare, chronic granulomatous disease, and India accounts for two-thirds of the new cases reported worldwide. Hypercalcemia is a rare complication of granulomatous disease. Here, we report a case of an older adult patient with leprosy and type I lepra reaction presenting with severe hypercalcemia.

Behavioural issues in late life may be the precursor of dementia- A cross sectional evidence from memory clinic of AIIMS, India.

BACKGROUND: Mild Behavioural Impairment (MBI), an "at risk" state for incident cognitive declin, is characterized by late onset, sustained neuropsychiatric symptoms of any severity which cannot be accounted for by other formal medical and psychiatric nosology. There is no study related to MBI from India. METHODS AND FINDINGS: In this cross-sectional observational study 124 subjects 60 years and above were recruited between March 2017 to October 2018, from memory clinic of department of Geriatric medicine with memory or behavioural complains. Subjects with major neurocognitive impairment (CDR score of 1 or more), major depressive disorder, generalized anxiety disorder and impaired activities of daily living (ADL) were excluded. Subjects with Mild Cognitive impairment (MCI) (CDR- 0.5), and Subjective cognitive impairment (SCI) (CDR- 0) were included. Neuropsychiatric Inventory Questionnaire (NPI-Q) was used to identify the presence of NPS. The ISTAART-MBI (International Society of Advance Alzheimer's Research and Treatment-Alzheimer's Association) diagnostic criteria was used to diagnose MBI. All the participants underwent a geriatric assessment using standardised screening. The objectives of this study was to determine the frequency of mild behavioural impairment (MBI), and its domains, in MCI or SCI and its association with comorbidities and geriatric syndromes. The mean age of the participants was 69.21, 71.77% (89) were male and 28.23% (35) were female. 41.13% (51) of these individuals were diagnosed with MBI. The MBI and non MBI group differed significantly in marital status, cognitive status and MCI subtype. The proportion of domains involved are as follows: decreased motivation 60.78%(31), emotional dysregulation 54.90% (28), impulse dyscontrol 68.63% (35), social inappropriateness 21.57%(11), abnormal perception 2 (3.93%). Presence of multi-morbidity, and diabetes, were statistically significant between the groups. CONCLUSION: This study presents the first clinic-based prevalence estimates of MBI from Asia. Findings indicate a relatively high prevalence of MBI in predementia clinical states, impulse dyscontrol was the most commonly involved MBI domain. Multimorbidity, diabetes, urinary incontinence were other determinants of MBI.