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Hu FH, Feng LP, Jia YJ, Ge MW, Shen LT, Liu P, Chen HL. Frailty and all-cause and cancer-related mortality in cancer patients: A prospective cohort study. Eur J Oncol Nurs 2024; 71:102667. [PMID: 39003843 DOI: 10.1016/j.ejon.2024.102667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 07/03/2024] [Accepted: 07/10/2024] [Indexed: 07/16/2024]
Abstract
PURPOSE To evaluate the associations between frailty and all-cause and cancer-related mortality. Additionally, the objective is to compare the magnitude of these associations between older adults and younger adults. METHODS We gathered baseline data from NHANES (1999-2018) and developed a cumulative index consisting of 39 items to evaluate frailty. The National Death Index database was utilized to track the survival status of individuals. The Cox regression model was employed to estimate the associations between frailty status and all-cause and cancer-related mortality. RESULTS Ultimately, 3398 cancer patients were included in the analysis, comprising 910 younger adults and 2488 older adults. Compared to non-frail patients, the elevated all-cause and cancer-related mortality among pre-frail patients was not statistically significant (HRs = 1.312, 95%CI: 0.956-1.800, P = 0.092; HRs = 1.462, 0.811-2.635, P = 0.207). However, a significant elevation of both all-cause and cancer-related mortality risk was observed among frail patients (HRs = 2.213, 1.617-3.030, P < 0.001; HRs = 2.463, 95%CI = 1.370-4.429, P = 0.003). Frailty individuals demonstrated a more pronounced association with the prediction of all-cause mortality in younger (HRs = 2.230, 1.073-4.634, P = 0.032) than in older adults (HRs = 2.090, 1.475-2.960, P < 0.001). Sensitivity analysis consistently revealed robust results. RCS plots suggested a progressively escalating dose-response correlation between frailty and both all-cause and cancer-related mortality risk. CONCLUSIONS Pre-frailty did not result in an increase in mortality risks compared to non-frailty. However, frailty caused a higher all-cause and cancer-related mortality risk than non-frailty. Identifying those at risk and implementing targeted interventions may contribute to extending healthy life expectancy, regardless of age.
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Affiliation(s)
- Fei-Hong Hu
- School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, China
| | - Li-Ping Feng
- Family-Centered Maternity Ward, Affiliated Hospital of Nantong University, Nantong University, Nantong, Jiangsu, China
| | - Yi-Jie Jia
- School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, China
| | - Meng-Wei Ge
- School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, China
| | - Lu-Ting Shen
- School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, China
| | - Peng Liu
- School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, China.
| | - Hong-Lin Chen
- School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, China.
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Olateju OA, Mgbere O, Thornton JD, Zeng Z, Essien EJ. Disparities in Survival Outcomes Among Patients With Metastatic Melanoma in Texas: Implications for Policy and Interventions in the Era of Immune Checkpoint Inhibitors. Am J Clin Oncol 2024:00000421-990000000-00208. [PMID: 38937888 DOI: 10.1097/coc.0000000000001128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Abstract
OBJECTIVES Disparities exist in the length and quality of survival from melanoma. This study evaluated, in a Texas cohort, patient factors associated with melanoma survival and examined if newer immune-oncologic agents extend survival compared with conventional therapies. METHODS A retrospective analysis of patients diagnosed with metastatic melanoma from 2011 to 2018 in the Texas Cancer Registry database. Multivariable Cox proportional hazard regression was used to evaluate patient characteristics associated with cancer-specific survival (CSS) and overall survival (OS). The patient cohort was then grouped based on receipt of first-line immunotherapy or other therapies. The association between receipt of immunotherapy and survival was assessed with Kaplan-Meier analysis and inverse probability treatment weighted Cox regression. RESULTS There were 1372 patients with metastatic melanoma. Factors associated with increased melanoma mortality risk (CSS) included being male (HR: 1.13, 95% CI: 1.02-1.26), non-Hispanic black (HR: 1.28, 95% CI: 1.13-1.45), living in poorer counties (HR: 1.40, 95%CI: 1.20-1.64), and having multimorbidity (HR: 1.35, 95% CI: 1.05-1.74). All minority races and Hispanics had poorer OS compared with non-Hispanic Whites. Patients who received first-line immunotherapy had significantly longer median (interquartile range) survival (CSS: 27.00 [21.00 to 42.00] mo vs. 16.00 [14.00 to 19.00] mo; OS: 22.00 [17.00 to 27.00] mo vs. 12.00 [11.00 to 14.00] mo). They also had reduced mortality risk (HR for CSS: 0.80; 95% CI: 0.73-0.88; P<0.0001; HR for OS: 0.76; 95% CI: 0.69-0.83; P<0.0001) compared with the nonimmunotherapy cohort. CONCLUSIONS This study showed differences in risks from melanoma survival based on patient demographic and clinical characteristics. Low socioeconomic status increased mortality risk, and first-line immunotherapy use favored survival. Health policies and tailored interventions that will promote equity in patient survival and survivorship are essential for managing metastatic melanoma.
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Affiliation(s)
- Olajumoke A Olateju
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston
- Institute of Community Health, University of Houston College of Pharmacy
| | - Osaro Mgbere
- Institute of Community Health, University of Houston College of Pharmacy
- Department of Health Systems and Population Health Sciences, Tilman J. Fertitta Family College of Medicine, University of Houston
- Public Health Science and Surveillance Division, Houston Health Department, Houston, TX
| | - J Douglas Thornton
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston
| | - Zhen Zeng
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston
| | - Ekere J Essien
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston
- Institute of Community Health, University of Houston College of Pharmacy
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Han J, Zhang Q, Lan J, Yu F, Liu J. Frailty worsens long-term survival in patients with colorectal cancer: a systematic review and meta-analysis. Front Oncol 2024; 14:1326292. [PMID: 38406806 PMCID: PMC10889110 DOI: 10.3389/fonc.2024.1326292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/23/2024] [Indexed: 02/27/2024] Open
Abstract
Background Colorectal cancer (CRC) is the 3rd most common cancer in men and 2nd most common malignancy in females across the globe leading to high mortality rates. Frailty is an age-related syndrome that has been associated with high morbidity and mortality. This systematic review aimed to examine if frailty can predict long-term (>1 year) outcomes of patients with CRC. Methods This PROSPERO registered review examined the databases of PubMed, Embase, and Web of Science till 4th September 2023 for cohort studies assessing the association between frailty and long-term outcomes of CRC. Results 15 studies with 45288 patients were included. 6573 patients (14.5%) were frail. Meta-analysis demonstrated that frailty was associated with statistically significant poor overall survival (OS) (HR: 2.11 95% CI: 1.44, 3.08 I2 = 94%) (14 studies), cancer-specific survival (CSS) (HR: 4.59 95% CI: 2.75, 7.67 I2 = 38%) (2 studies), and disease-free survival (DFS) (HR: 1.46 95% CI: 1.28, 1.66 I2 = 0%) (5 studies) after CRC. Subgroup analysis for OS based on study type, location, sample size, stage of cancer, percentage with frailty, treatment, adjustment for CRC stage and comorbidities, and follow-up did not change the results. These results were not altered in significance on sensitivity analysis. Conclusion Our results show that frail CRC patients have poor OS and DFS as compared to non-frail patients. Variations in frailty measurement tools and high inter-study heterogeneity are major limitations of the review. Systematic review registration https://www.crd.york.ac.uk/prospero/, PROSPERO, CRD42023450586.
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Affiliation(s)
- Jiangxue Han
- Oncology Department, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing, China
| | - Qin Zhang
- Oncology Department, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing, China
| | - Jiarong Lan
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
- Department of Medicine, Huzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University, Huzhou, China
| | - Fang Yu
- Department of Pathology, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing, China
| | - Jie Liu
- Institute of Integrated Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Maeda H, Takahashi M, Seo S, Hanazaki K. Frailty and Colorectal Surgery: Review and Concept of Cancer Frailty. J Clin Med 2023; 12:5041. [PMID: 37568445 PMCID: PMC10419357 DOI: 10.3390/jcm12155041] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 07/16/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
Frailty is characterized by reduced physiological reserves across multiple systems. In patients with frailty, oncological surgery has been associated with a high rate of postoperative complications and worse overall survival. Further, given that cancer and frailty can co-exist in the same patient, cancer and cancer-related symptoms can rapidly accelerate the progression of baseline frailty, which we have termed "cancer frailty". This distinction is clinically meaningful because the prioritization of interventions and the treatment outcomes may differ based on health conditions. Specifically, in patients with cancer frailty, improvements in frailty may be achieved via surgical removal of tumors, while prehabilitation may be less effective, which may in turn result in delayed treatment and cancer progression. In this review, we focused on challenges in the surgical treatment of non-metastatic colorectal cancers in patients with frailty, including those related to decision making, prehabilitation, and surgery. Potential recommendations for treating patients with cancer frailty are also discussed.
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Affiliation(s)
- Hiromichi Maeda
- Department of Surgery, Kochi Medical School Hospital, Kohasu, Oko-cho, Nankoku 783-8505, Japan; (M.T.); (S.S.); (K.H.)
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Zhang X, Wang X, Wang M, Gu J, Guo H, Yang Y, Liu J, Li Q. Effect of comorbidity assessed by the Charlson Comorbidity Index on the length of stay, costs, and mortality among colorectal cancer patients undergoing colorectal surgery. Curr Med Res Opin 2023; 39:187-195. [PMID: 36269069 DOI: 10.1080/03007995.2022.2139053] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
OBJECTIVE Charlson Comorbidity Index (CCI) is a good predictor for hospitalization cost and mortality among patients with chronic disease. However, the impact of CCI on patients after colorectal cancer surgery is unclear. This study aims to investigate the influence of comorbidity assessed by CCI on length of stay, hospitalization costs, and in-hospital mortality in patients with colorectal cancer (CRC) who underwent surgical resection. METHODS This historical cohort study collected 10,271 adult inpatients for CRC undergoing resection surgery in 33 tertiary hospitals between January 2018 and December 2019. All patients were categorized by the CCI score into four classes: 0, 1,2, and ≥3. Linear regression was used for outcome indicators as continuous variables and logical regression for categorical variables. EmpowerStats software and R were used for data analysis. RESULTS Of all 10,271 CRC patients, 51.72% had at least one comorbidity. Prevalence of metastatic solid tumor (19.68%, except colorectal cancer) and diabetes without complication (15.01%) were the major comorbidities. The highest average cost of hospitalization (86,761.88 CNY), length of stay (18.13 days), and in-hospital mortality (0.89%) were observed in patients with CCI score ≥3 compared to lower CCI scores (p < .001). Multivariate regression analysis showed that the CCI score was associated with hospitalization costs (β, 7340.46 [95% confidence interval (CI) (5710.06-8970.86)], p < .001), length of stay (β, 1.91[95%CI (1.52-2.30)], p < .001), and in-hospital mortality(odds ratio (OR),16.83[95%CI (2.23-126.88)], p = .0062) after adjusted basic clinical characteristics, especially when CCI score ≥3. Notably, the most specific complication associated with hospitalization costs and length of stay was metastatic solid tumor, while the most notable mortality-specific comorbidity was moderate or severe renal disease. CONCLUSION The research work has discovered a strong link between CCI and clinical plus economic outcomes in patients with CRC who underwent surgical resection.
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Affiliation(s)
- Xuexue Zhang
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School of China Academy of Chinese Medical Sciences, Beijing, China
| | - Xujie Wang
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School of China Academy of Chinese Medical Sciences, Beijing, China
| | - Miaoran Wang
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School of China Academy of Chinese Medical Sciences, Beijing, China
| | - Jiyu Gu
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
| | - Huijun Guo
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yufei Yang
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jian Liu
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qiuyan Li
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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