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.

Psychiatric disorders in older adults with cancer referred to psycho-oncology service in a tertiary care cancer centre: a 7-year real world experience from India.

BACKGROUND: Cancer affects mental health in older adults with cancer (OAC), affecting almost 50% of the patients. There are only a few studies on psychiatric disorders in OAC, especially in low resource settings. We report on our real-world experience of prevalence of and factors associated with psychiatric disorders in OAC referred to a psycho-oncology service in an Indian tertiary care cancer institute. METHODS: We retrospectively analysed medical and psycho-oncology records of patients aged 60 + on cancer-directed treatment or follow-up for < 2 years after treatment completion, referred to psycho-oncology services in a tertiary care cancer centre in Mumbai, India, from Jan 2011-Dec 2017. We recorded sociodemographic, clinical, and treatment-related variables, as well as past psychiatric disorders. The ICD-10 was used to record current psychiatric disorder type and presence. IBM SPSS version 24 (Armonk, NY, USA) was used for descriptive measures, tests of association, and logistic regression analysis. The study protocol was approved by Institutional Ethics Committee and registered with the Clinical Trials Registry-India (CTRI/2020/06/026095). RESULTS: Of 763 patients included in the study, 475 (62.3%) were males and 436 (57.1%) were inpatients, with a median age of 65 years. 93% of the patients had a solid tumour and 207 (27.1%) had a history of psychiatric disorder. A current psychiatric diagnosis was noted in 556 patients (72.9%) on initial presentation, of which adjustment disorders, delirium and depression and anxiety disorders were most frequently seen in 25.2%, 21% and 11.1%, respectively. On univariate analysis, a past history of psychiatric disorders (χ2 = 34.6, p < 0.001), lower performance status (χ2 = 9.9, p = 0.002) and haematolymphoid malignancy (χ2 = 4.08, p = 0.04) significantly increased the risk of current psychiatric diagnosis. Logistic regression confirmed these variables as significant. CONCLUSION: Older adults with cancer referred to psycho-oncology services have high rates of psychiatric disorders at their initial presentation, mainly adjustment disorders, delirium and depression and anxiety. A past history of psychiatric disorders, lower performance status and haematolymphoid cancers significantly increased the risk of psychiatric disorders. Multidisciplinary psycho-oncology teams including a psychiatrist should be integrated in comprehensive care of this group of patients. Further research outcomes and effect of psycho-oncological interventions is required in older adults with cancer in LMIC settings.

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.

Validation of the hospital anxiety depression scale - Marathi version in detecting anxiety and depression in cancer patients and caregivers.

Background: ">The Hospital and Anxiety Depression Scale (HADS) is useful for screening depression and anxiety in cancer. It has not been validated in the Marathi language, which is the third most common language in India. We aimed to examine the reliability and validity of the Marathi-translated version of HADS in cancer patients and their caregivers. Methods: In a cross-sectional study design, we administered the Hospital and Anxiety Depression Scale-Marathi version (HADS-Marathi) to 100 participants (50 patients and 50 caregivers) after obtaining their informed consent. The team Psychiatrist, who was blind to the HADS-Marathi scores, interviewed all participants and identified the presence of anxiety and depressive disorders using the diagnostic criteria of the International Classification of Diseases - 10th edition. We measured internal consistency using Cronbach's alpha, receiver operating characteristics, and factor structure. The study was registered with the Clinical Trials Registry-India (CTRI). Results: The internal consistency of HADS-Marathi was good with 0.815, 0.797, and 0.887 for anxiety and depression subscales and total scale, respectively. The area under curve figures were 0.836 (95% Confidence Interval [CI]: 0.756 - 0.915), 0.835 (95% [CI]: 0.749-0.921), and 0.879 (95% [CI] 0.806-0.951) for anxiety and depression subscales, and total scale, respectively. The best cutoffs identified were 8 (anxiety), 7 (depression), and 15 (total). The scale displayed a three-factor structure, with two depression subscale and one anxiety subscales items loading on to the third factor. Conclusion: We found that the HADS-Marathi version is a reliable and valid instrument for use in cancer patients. However, we found a three-factor structure, possibly reflecting a cross-cultural effect.

Psychological distress in primary caregivers of children with cancer during COVID-19 pandemic-A single tertiary care center experience.

OBJECTIVE: Families of children with cancer undergoing treatment during COVID-19 pandemic represent a vulnerable population for psychological distress and early identification and remedial measures are imperative for wellbeing of both the children and the caregivers. This article reports the results of assessment of psychological distress in primary caregivers of children with cancer undergoing treatment at a tertiary care center. METHODS: Primary caregivers of children with cancer (≤15 years) taking treatment at our institute during the period of July 2020 to August 2020 were prospectively evaluated for psychological distress using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) tools over a telephonic call. There were 2 cohorts, A and B (50 participants each) depending on whether child was diagnosed with COVID-19 or not respectively during the study period. RESULTS: The assessment tool, PHQ-9 showed a score of ≥10 in 13% (n = 13) participants (95%CI:7.1%-21.2%) in the entire cohort and in 16% (n = 8, 95%CI:5.8%-26.2%) and 10% (n = 5, 95%CI:1.7%-18.3%) participants in cohort A and cohort B respectively. GAD-7 showed a score of ≥8 in 18% (n = 18) participants (95%CI:11.0%-27.0%) in the entire cohort and in 20% (n = 10, 95%CI:8.9%-31.1%) and 16% (n = 8, 95%CI:5.8%-26.2%) participants in cohort A and cohort B respectively. All participants were assessed, and supportive psychotherapeutic interventions administered over telephonic call. CONCLUSIONS: Primary caregivers should be assessed and followed up for psychological distress irrespective of other co-existing factors. Robust support systems built over time could help withstand the exceptional strain of a major surge during a pandemic.