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Background Nutritional impairment is common in cancer patients and is associated with poor outcomes. Only few studies focused on cachexia. We assessed the prevalence of cachexia in older cancer patients, identified associated risk factors, and evaluated its impact on 6 month overall mortality. Methods A French nationwide cross‐sectional survey (performed in 55 geriatric oncology clinics) of older cancer patients aged ≥70 referred for geriatric assessment prior to treatment choice and initiation. Demographic, clinical, and nutritional data were collected. The first outcome was cachexia, defined as loss of more than 5% of bodyweight over the previous 6 months, or a body mass index below 20 kg/m2 with weight loss of more than 2%, or sarcopenia (an impaired Strength, Assistance with walking, Rise from chair, Climb stairs and Falls score) with weight loss of more than 2%. The second outcome was 6 month overall mortality. Results Of the 1030 patients included in the analysis [median age (interquartile range): 83 (79–87); males: 48%; metastatic cancer: 42%; main cancer sites: digestive tract (29%) and breast (16%)], 534 [52% (95% confidence interval: 49–55%)] had cachexia. In the multivariate analysis, patients with breast (P < 0.001), gynaecologic (P < 0.001), urinary (P < 0.001), skin (P < 0.001), and haematological cancers (P = 0.006) were less likely to have cachexia than patients with colorectal cancer. Patients with upper gastrointestinal tract cancers (including liver and pancreatic cancers; P = 0.052), with previous surgery for cancer (P = 0.001), with metastases (P = 0.047), poor performance status (≥2; P < 0.001), low food intake (P < 0.001), unfeasible timed up‐and‐go test (P = 0.002), cognitive disorders (P = 0.03) or risk of depression (P = 0.005), were more likely to have cachexia. At 6 months, 194 (20.5%) deaths were observed. Cachexia was associated with 6 month mortality risk (adjusted hazard ratio = 1.49; 95% confidence interval: 1.05–2.11) independently of age, in/outpatient status, cancer site, metastatic status, cancer treatment, dependency, cognition, and number of daily medications. Conclusions More than half of older patients with cancer managed in geriatric oncology clinics had cachexia. The factors associated with cachexia were upper gastrointestinal tract cancer, metastases, poor performance status, poor mobility, previous surgery for cancer, cognitive disorders, a risk of depression, and low food intake. Cachexia was independently associated with 6 month mortality.

Background Patients with end‐stage renal disease may display both a loss of skeletal muscle mass and an increase in muscle fat deposits. We aimed to analyse the impact of low skeletal muscle mass index (SMI, surrogate marker of sarcopenia) and low muscle density (MD, surrogate marker of myosteatosis) on patient survival after kidney transplantation (KT). Methods In a retrospective cohort of 200 kidney transplant recipients (KTr), we measured on an unenhanced cross‐sectional computed tomography scan taken at the level of the third lumbar vertebra within the previous year or at the time of KT, both SMI (muscle cross‐sectional area normalized for height2, reported in cm2/m2) and MD (mean attenuation of muscle cross‐sectional area, expressed in Hounsfield units). We determined age‐specific and sex‐specific normality thresholds on 130 healthy subjects. The baseline factors associated with low MD were assessed by logistic regression analysis. Cox proportional hazard univariable and multivariable models were constructed to identify predictive factors of patient survival. Results Among the 200 patients of the cohort, 123 were male (62%), and mean age was 54.8 ± 13.8 years. A total of 181 KTr required renal replacement therapy before KT (91%), and 36 KTr (18%) received repeat kidney transplant after previous failed KT. Mean MD was 30.6 ± 9 HU in men and 29.7 ± 8.3 HU in women, whereas SMI was 49.7 ± 8.6 cm2/m2 in men and 42.3 ± 7.3 cm2/m2 in women. MD was below the 2.5th percentile for the healthy population in 49 KTr (25%), defining the myosteatosis group, while SMI was below the 2.5th percentile for the reference population in 10 KTr (5%). Independent risk factors for myosteatosis were two or more KT [adjusted odds ratio (aOR) 5.2, 95% confidence interval (95% CI): 2.22–12.4, P = 0.0001], a history of stroke (aOR 3.7, 95% CI: 1.30–10.7, P = 0.015), and body mass index > 25 kg/m2 (aOR 2.94, 95% CI: 1.4–6.18, P = 0.004). Myosteatosis was independently associated with mortality [adjusted hazard ratio (aHR) 2.12, 95% CI: 1.06–4.24, P = 0.033], as were cardiovascular disease (HR 2.06, 95% CI: 1.02–4.15, P = 0.043) and age (aHR 1.06, 95% CI: 1.03–1.09, P = 0.0003). Low SMI was not associated with mortality. Conclusions Myosteatosis, which was more prevalent than low skeletal muscle mass, might be an important prognostic marker in patients undergoing KT.

Background The role of robotic surgery for partial mesorectal excision (PME) in patients with high rectal cancer (RC) remains unexplored. This study aimed to compare the operative and postoperative outcomes of robotic (R-PME) versus laparoscopic (L-PME) PME for high RC. Methods This was a single-center propensity score cohort study of consecutive patients diagnosed with RC in the high rectum (>10 to 15 cm from the anal verge) who underwent surgery between September 2012 and May 2019. Results Of 131 selected patients (50 R-PME and 81 L-PME), 88 were matched using propensity score (44 per group). Operative and postoperative variables were similar between R-PME and L-PME patients, except for operative time (220 min and 190 min, respectively; p  < 0.0001). No conversion was needed. Overall morbidity was 15.9%; 4 patients (4.5%) developed anastomotic leakage. The mean hospital stay was 7.25 days for R-PME vs. 7.64 days for L-PME ( p  = 0.597). R0 resection was achieved in 100% of R-PME and 90.9% of L-PME ( p  = 0.116). Only 3 patients (1 R-PME, 2 L-PME) received a permanent stoma ( p  = 1). No group differences were observed for overall or disease-free survival rates at 5 years. The costs of R-PME were significantly higher than those of L-PME. Conclusion Minimally invasive surgery can be performed safely for PME in high RC. No difference can be detected between R-PME and L-PME for both short- and long-term outcomes, leaving the choice of the surgical approach to the surgeon’s experience. Specific health economic studies are needed to evaluate the cost-effectiveness of robotic surgery for RC.

Background Computed tomography (CT) scan–defined myosteatosis is a common feature in ESKD patients receiving kidney transplantation (KT) and is associated with mortality after KT. We aimed to explore the impact of myosteatosis and other CT scan based morphometric data on the occurrence of early surgical complications after KT. Methods We retrospectively measured on an unenhanced cross‐sectional CT scan taken at the middle of the third lumbar vertebra performed within the previous year or at the time of KT: surface muscle index (total lumbar cross‐sectional muscle area [CSMA] divided by height squared), subcutaneaous adipose tissue index, visceral adipose tissue index and muscle density (MD: mean CT attenuation of CSMA). Vessel to skin distance was the distance between iliac vein and skin. Myosteatosis was defined as MD below age‐ and sex‐specific normal values. Logistic regression models were constructed to identify predictive factor of 90 days postoperative surgical complications with Clavien–Dindo score greater than or equal to 2, CD ≥ 2). Results Among the N = 200 patients, 61.5% were male with a mean age of 54.8 (± 13.8) years and a mean BMI of 25.1 (± 4.4) kg/m2. Sixty patients (30%) developed at least one postoperative complication (CD ≥ 2) in the first 3 months after KT. In two different multivariate analyses, MD (aOR: 0.95 for one Hounsfield unit increase, 95% CI: 0.91–0.99, p = 0.028) and myosteatosis status (aOR: 4.64, 95% CI: 2.18–9.90, p < 0.0001) were the only independent risk factors for postsurgical complication. Conclusions Myosteatosis is independently associated with the occurrence of CD ≥ 2 postoperative complication within 90 days of surgery.

Background In older patients with cancer, comorbidities compete with cancer for cause of death. The objectives were to evaluate cancer mortality and factors associated, according to metastatic status. Methods Between 2007 and 2014, patients with cancer aged ≥70 referred for pre‐therapeutic geriatric assessment (GA) were included through the ELCAPA prospective cohort study. The underlying cause of death was defined according to the International Classification of Diseases, 10th Revision. The World Health Organisation definition was used to categorise the cause of death as cancer versus another disease (e.g. cardiovascular disease, infectious disease, etc.) Competing risk models were used. Results Mean (SD) age of the 1445 included patients was 80.2 (5.8) and 48% were women. Most common tumour sites were colorectal (19%), breast (17%) and urinary (15%); 773 patients (49%) had metastases. After a 34‐month median follow‐up, 706 cancer deaths were observed among 843 deaths. The 6‐month and 3‐year cancer mortality rates (95% CI) were 12% (9–15) and 34% (29–38) for non‐metastatic patients and 43% (39–47) and 79% (75–82) for metastatic patients, respectively. Dependency in activities of daily living and comorbidities were associated with 6‐month and 3‐year cancer mortality in non‐metastatic (adjusted subhazard ratio [aSHR] = 1.68 [0.99–2.85] and 1.69 [1.16–2.45]; and 1.98 [1.08–3.63] and 3.38 [1.47–7.76], respectively) and metastatic patients (aSHR = 2.81 [2.01–3.93] and 2.95 [2.14–4.07]; and 1.63 [1.18–2.25] and 2.06 [1.39–3.05], respectively). Impaired Timed‐Get‐Up‐and‐Go test was associated with 6‐month and 3‐year cancer mortality in metastatic patients (aSHR = 1.5 [1.06–2.12] and 1.38 [1.06–1.81], respectively). Obesity was negatively associated with 3‐year cancer death in non‐metastatic (aSHR = 0.53 [0.29–0.97]) and metastatic patients (aSHR = 0.71 [0.51–1.00]). Conclusions The majority of older adults with cancer referred for pre‐therapeutic GA die from cancer. Geriatric parameters are independently associated with cancer mortality and should be considered for prognosis assessment, decision‐making and care. The majority of older adults with cancer referred for pre‐therapeutic GA died from cancer and not from other causes. An altered general status, loss of independency and co‐morbidities were independently associated with cancer death at 6 months and at 3 years, regardless of metastatic status; mobility impairment was independently associated with cancer death at 6 months and at 3 years in metastatic patients.

The guidelines on prostate cancer treatment in older men recommend evaluating the patient’s underlying health status before treatment selection. We aimed to evaluate the frequency of a guideline–discordant treatment (GDT), identify factors associated with GDT, and assess the relationship between GDT and overall survival. We studied patients with prostate cancer aged 70 or older included in the ELCAPA cohort between 2010 and 2019. Multivariable logistic regression assessed GDT-associated factors. The restricted mean survival time (RMST) assessed the 24- and 36-month OS using stabilized inverse probability of treatment weighting of propensity scores. We included 356 patients (median age: 81 years), and 164 (46%) received a GDT (95% confidence interval (CI) = (41–51%)). Patients with metastases were less likely to receive a GDT (adjusted odds ratio (95% CI) = 0.34 (0.17–0.69); p = 0.003). After weighting, the RMST at 24 months was shorter in the GDT group (13.9 months, vs. 17 months for compliant treatments; difference (95% CI): −3.1 months (−5.3, −1.0); p = 0.004). RMST at 36 months was 18.5 months, vs. 21.8 months (difference: −3.3 months (−6.7, 0.0); p = 0.053). GDT is common in older patients with prostate cancer and especially those with non-metastatic disease. GDT was associated with worse survival, independently of health status and tumour characteristics.

The longitudinal hospital care experiences of older adults with cancer, from the treatment decision-making process until their end of life, remain unexplored. We examined the hospital care trajectories of these patients and identified associated clinical determinants. We linked the ELCAPA multicenter cohort study (patients aged ≥70 with a solid tumor and having been referred for a geriatric assessment between 2012 and 2019) and the Greater Paris University Hospitals' clinical data warehouse. Individual care trajectories, defined as series of consultations, hospital admissions (in day, acute, or rehabilitation units), and emergency room (ER) visits, were clustered using multichannel sequence analysis. Cluster membership determinants were identified among socio-demographic, oncological, and geriatric parameters by logistic regression analysis. Seven hundred seven patients (median age: 82; metastatic cancer: 45.2%; 10 998 care episodes) were included. Four trajectory clusters were identified: cluster A (n = 149, 21.1%) with in-hospital surgical trajectories, cluster B (n = 198, 28.0%) with outpatient care trajectories with chemotherapy and/or radiotherapy, cluster C (n = 302, 42.7%) without any hospital cancer treatments, and cluster D (n = 58, 8.2%) with mostly chemotherapy and high hospital care consumption. Cluster belonging determinants included metastatic status and cancer site (for cluster A); cognition, mobility, and mood status (unimpaired parameters for cluster B and impaired for cluster C); and younger age (for cluster D). While highlighting varied hospital care experiences among older patients with cancer, we found that age remains an independent determinant of chemotherapy-dominant care trajectories.

ObjectivesHealthcare professionals are expected to firmly ground their practice in sound evidence. That implies that they know and use evidence-based medicine (EBM). In this study, our aim was to know how often health professionals actually made use of EBM in their daily practice.DesignA questionnaire survey of healthcare professionals.ParticipantsHealthcare professionals who attended six university postgraduate courses. 226 answered the questionnaire (144 physicians, 64 nurses and 24 pharmacists; response rate 63.3%).Setting56.5% of respondents worked in hospitals (mostly non-teaching), 25.0% in nursing homes and 10.2% in primary care. All participants were French-speaking and lived in France or Switzerland.MeasuresDeclared degree of knowledge and use of EBM, use of EBM-related information sources.ResultsOverall, 14.2% of respondents declared to use EBM regularly in their daily practice and 15.6% declared to use EBM only occasionally. The remaining respondents declared they: knew about EBM but did not use it (33.1%), had just heard about EBM (31.9%) or did not know what EBM is (4.0%). Concerning the use of EBM-related information sources, 83.4% declared to use at least monthly (or more often) clinical guidelines, 47.1% PubMed, 21.3% the Cochrane Library and 6.4% other medical databases.Fewer pharmacists (12%) declared to use EBM in their practice than nurses (22%) or doctors (36%). No difference appeared when analysed by gender, work setting or years after graduation. The most frequent obstacles perceived for the practice of EBM were: lack of general knowledge about EBM, lack of skills for critical appraisal and lack of time.ConclusionsOnly a minority of health professionals—with differences between physicians, nurses and pharmacists—declare to regularly use EBM in their professional practice. A larger proportion appears to be interested in EBM but seems to be deterred by their lack of knowledge, skills and personal time.

Risk prediction of acute mountain sickness, high altitude (HA) pulmonary or cerebral edema is currently based on clinical assessment. Our objective was to develop a risk prediction score of Severe High Altitude Illness (SHAI) combining clinical and physiological factors. Study population was 1017 sea-level subjects who performed a hypoxia exercise test before a stay at HA. The outcome was the occurrence of SHAI during HA exposure. Two scores were built, according to the presence (PRE, n = 537) or absence (ABS, n = 480) of previous experience at HA, using multivariate logistic regression. Calibration was evaluated by Hosmer-Lemeshow chisquare test and discrimination by Area Under ROC Curve (AUC) and Net Reclassification Index (NRI). The score was a linear combination of history of SHAI, ventilatory and cardiac response to hypoxia at exercise, speed of ascent, desaturation during hypoxic exercise, history of migraine, geographical location, female sex, age under 46 and regular physical activity. In the PRE/ABS groups, the score ranged from 0 to 12/10, a cut-off of 5/5.5 gave a sensitivity of 87%/87% and a specificity of 82%/73%. Adding physiological variables via the hypoxic exercise test improved the discrimination ability of the models: AUC increased by 7% to 0.91 (95%CI: 0.87-0.93) and 17% to 0.89 (95%CI: 0.85-0.91), NRI was 30% and 54% in the PRE and ABS groups respectively. A score computed with ten clinical, environmental and physiological factors accurately predicted the risk of SHAI in a large cohort of sea-level residents visiting HA regions.

Background We have done a systematic literature review about CRC Screening over 75 years old in order to update knowledge and make recommendations. Methods PUBMED database was searched in October 2021 for articles published on CRC screening in the elderly, and generated 249 articles. Further searches were made to find articles on the acceptability, efficacy, and harms of screening in this population, together with the state of international guidelines. Results Most benefit-risk data on CRC screening in the over 75 s derived from simulation studies. Most guidelines recommend stopping cancer screening at the age of 75. In private health systems, extension of screening up to 80–85 years is, based on the life expectancy and the history of screening. Screening remains effective in populations without comorbidity given their better life-expectancy. Serious adverse events of colonoscopy increase with age and can outweigh the benefit of screening. The great majority of reviews concluded that screening between 75 and 85 years must be decided case by case. Conclusion The current literature does not allow Evidence-Based Medicine propositions for mass screening above 75 years old. As some subjects over 75 years may benefit from CRC screening, we discussed ways to introduce CRC screening in France in the 75–80 age group. IRB An institutional review board composed of members of the 2 learned societies (SOFOG and FFCD) defined the issues of interest, followed the evolution of the work and reviewed and validated the report.