The invasive land flatworm Arthurdendyus triangulatus has repeated sequences in the mitogenome, extra-long cox2 gene and paralogous nuclear rRNA clusters.

Using a combination of short- and long-reads sequencing, we were able to sequence the complete mitochondrial genome of the invasive 'New Zealand flatworm' Arthurdendyus triangulatus (Geoplanidae, Rhynchodeminae, Caenoplanini) and its two complete paralogous nuclear rRNA gene clusters. The mitogenome has a total length of 20,309 bp and contains repetitions that includes two types of tandem-repeats that could not be solved by short-reads sequencing. We also sequenced for the first time the mitogenomes of four species of Caenoplana (Caenoplanini). A maximum likelihood phylogeny associated A. triangulatus with the other Caenoplanini but Parakontikia ventrolineata and Australopacifica atrata were rejected from the Caenoplanini and associated instead with the Rhynchodemini, with Platydemus manokwari. It was found that the mitogenomes of all species of the subfamily Rhynchodeminae share several unusual structural features, including a very long cox2 gene. This is the first time that the complete paralogous rRNA clusters, which differ in length, sequence and seemingly number of copies, were obtained for a Geoplanidae.

Psychological burden associated with incident persistent symptoms and their evolution during the COVID-19 pandemic: a prospective population-based study.

BACKGROUND: Identifying factors that predict the course of persistent symptoms that occurred during the COVID-19 pandemic is a public health issue. Modifiable factors could be targeted in therapeutic interventions. OBJECTIVE: This prospective study based on the population-based CONSTANCES cohort examined whether the psychological burden associated with incident persistent symptoms (ie, that first occurred from March 2020) would predict having ≥1 persistent symptom 6-10 months later. METHODS: A total of 8424 participants (mean age=54.6 years (SD=12.6), 57.2% women) having ≥1 incident persistent symptom at baseline (ie, between December 2020 and February 2021) were included. The psychological burden associated with these persistent symptoms was assessed with the Somatic Symptom Disorder-B Criteria Scale (SSD-12). The outcome was having ≥1 persistent symptom at follow-up. Adjusted binary logistic regression models examined the association between the SSD-12 score and the outcome. FINDINGS: At follow-up, 1124 participants (13.3%) still had ≥1 persistent symptom. The SSD-12 score at baseline was associated with persistent symptoms at follow-up in both participants with (OR (95% CI) for one IQR increase: 1.42 (1.09 to 1.84)) and without SARS-CoV-2 infection prior to baseline (1.39 (1.25 to 1.55)). Female gender, older age, poorer self-rated health and infection prior to baseline were also associated with persistent symptoms at follow-up. CONCLUSIONS: The psychological burden associated with persistent symptoms at baseline predicted the presence of ≥1 persistent symptom at follow-up regardless of infection prior to baseline. CLINICAL IMPLICATIONS: Intervention studies should test whether reducing the psychological burden associated with persistent symptoms could improve the course of these symptoms.

Somatic Symptom Disorder-B criteria scale (SSD-12): Psychometric properties of the French version and associations with health outcomes in a population-based cross-sectional study.

OBJECTIVE: The 12-item Somatic Symptom Disorder-B Criteria Scale (SSD-12) is a self-reported questionnaire designed to assess the B criteria of the DSM-5 somatic symptom disorder. In this cross-sectional study, we aimed to examine the psychometric properties of the SSD-12 French version and associated health outcomes. METHODS: Participants were volunteers from the population-based CONSTANCES cohort who reported at least one new symptom that occurred between March 2020 and January 2021. Depressive symptoms were measured with the Center for Epidemiologic Studies-Depression scale (CES-D). RESULTS: A total of 18,796 participants completed the SSD-12. The scree plot was consistent with a 1-factor structure, while goodness-of-fit indices of the confirmatory factorial analyses and clinical interpretability were consistent with a 3-factor structure (excluding the item 7): 'Perceived severity', 'Perceived impairment', 'Negative expectations'. The Cronbach's α coefficients of the total and factors scores were 0.90, 0.88, 0.84 and 0.877, respectively. The total score was associated with depressive symptoms (Spearmann's rho: 0.32), self-rated health (-0.46), the number of persistent symptoms (0.32), and seeking medical consultation (odds ratio [95% confidence interval] for one interquartile range increase: 1.51 [1.48-1.54]). Among participants seeking medical consultation, those with higher SSD-12 scores were more likely to have their symptoms attributed to "stress/anxiety/depression" (1.32 [1.22-1.43]) and "psychosomatic origin" (1.25 [1.20-1.29]), and less to "COVID-19" (0.89 [0.85-0.93]). CONCLUSION: While the SSD-12 French version can be used as a unidimensional tool, it also has a 3-factor structure, somewhat different from the DSM-5 theoretical structure, with high internal consistency and clinically meaningful associations with other health outcomes.

Depression and anxiety before and at the beginning of the COVID-19 pandemic and incident persistent symptoms: a prospective population-based cohort study.

Many patients affected by COVID-19 suffer from debilitating persistent symptoms whose risk factors remained poorly understood. This prospective study examined the association of depression and anxiety symptoms measured before and at the beginning of the COVID-19 pandemic with the incidence of persistent symptoms. Among 25,114 participants [mean (SD) age, 48.72 years (12.82); 51.1% women] from the SAPRIS and SAPRIS-Sérologie surveys nested in the French CONSTANCES population-based cohort, depression and anxiety symptoms were measured with the Center for Epidemiologic Studies-Depression scale and the 12-item General Health Questionnaire before the pandemic, and with the 9-item Patient Health Questionnaire and the 7-Item Generalized Anxiety Disorder scale at the beginning of the pandemic (i.e., between April 6, 2020 and May 4, 2020). Incident persistent symptoms were self-reported between December 2020 and January 2021. The following variables were also considered: gender, age, educational level, household income, smoking status, BMI, hypertension, diabetes, self-rated health, and SARS-CoV-2 infection according to serology/PCR test results. After a follow-up of seven to ten months, 2329 participants (9.3%) had been infected with SARS-CoV-2 and 4262 (17.0%) reported at least one incident persistent symptom that emerged from March 2020, regardless of SARS-CoV-2 infection. In multi-adjusted logistic regression models, participants in the highest (versus the lowest) quartile of depressive or anxiety symptom levels before or at the beginning of the pandemic were more likely to have at least one incident persistent symptom (versus none) at follow-up [OR (95%CI) ranging from 2.10 (1.89-2.32) to 3.01 (2.68-3.37)], with dose-response relationships (p for linear trend <0.001). Overall, these associations were significantly stronger in non-infected versus infected participants, except for depressive symptoms at the beginning of the pandemic. Depressive symptoms at the beginning of the pandemic were the strongest predictor of incident persistent symptoms in both infected and non-infected participants [OR (95%CI): 2.88 (2.01-4.14) and 3.03 (2.69-3.42), respectively]. In exploratory analyses, similar associations were found for each symptom taken separately in different models. Depression and anxiety symptoms should be tested as a potential target for preventive interventions against persistent symptoms after an infection with SARS-CoV-2.

Housing conditions and changes in professional activity during lockdown and the risk of prevalent and incident depression: Findings from the CONSTANCES cohort.

BACKGROUND: Material conditions of lockdown and changes in regular functioning may have played a role on depressive manifestations. We aimed to examine the association between housing conditions and changes in professional activity and depression during the first COVID-19 outbreak in France. METHOD: Participants of the CONSTANCES cohort were followed online. A first questionnaire covered the lockdown period (assessing housing conditions and changes in professional activity), and a second the post-lockdown period (assessing depression using the Center of Epidemiologic Studies Depression-Scale (CES-D)). Incident depression was also estimated (with a previous CES-D measure). Logistic regression models were applied. RESULTS: 22,042 participants (median age 46 years, 53.2 % women) were included and 20,534 had a previous CES-D measure. Depression was associated with female gender, lower household income and past history of depression. A negative gradient between the number of rooms and the likelihood of depression was consistently observed (OR = 1.55 95 % [1.19-2.00] for one room, OR = 0.76 [0.65-0.88] for seven rooms), while a U-shape relationship was observed with the number of people living together (OR = 1.62 [1.42-1.84] for living alone, OR = 1.44 [1.07-1.92] for six persons). These associations were also observed with incident depression. Changes in professional activity were associated with depression (Started distance working (OR = 1.33 [1.17-1.50]). Starting distance working was also associated with incident depression (OR = 1.27 [1.08-1.48]). LIMITATION: A cross-sectional design was used. CONCLUSION: The consequences of lockdown on depression may vary depending on living conditions and changes in professional activity, including distance working. These results could help to better identify vulnerable people to promote mental health.

Trust in sources of information on COVID-19 at the beginning of the pandemic's first wave and incident persistent symptoms in the population-based CONSTANCES cohort: A prospective study.

OBJECTIVE: To examine the association between trust in different sources of information on COVID-19 at the beginning of the pandemic and the burden of incident persistent symptoms. METHODS: This prospective study used data from the SAPRIS and SAPRIS-Sérologie surveys nested in the French CONSTANCES population-based cohort. Trust in different information sources was measured between April 6 and May 4, 2020. Persistent symptoms that emerged afterwards were self-reported between December 2020 and January 2021. The associated psychological burden was measured with the somatic symptom disorder B criteria scale (SSD-12). The analyses were adjusted for gender, age, education, income, self-rated health, SARS-CoV-2 serology tests, and self-reported COVID-19. RESULTS: Among 20,985 participants [mean age (SD), 49.0 years (12.7); 50.2% women], those with higher trust in government/journalists at baseline had fewer incident persistent symptoms at follow-up (estimate (SE) for one IQR increase: -0.21 (0.03), p < 0.001). Participants with higher trust in government/journalists and medical doctors/scientists were less likely to have ≥1 symptom (odds ratio (95% confidence interval) for one IQR increase: 0.87 (0.82-0.91) and 0.91 (0.85-0.98), respectively). Among 3372 participants (16.1%) who reported ≥1 symptom, higher trust in government/journalists and medical doctors/scientists predicted lower SSD-12 scores (-0.39 (0.17), p = 0.02 and - 0.85 (0.24), p < 0.001, respectively), whereas higher trust in social media predicted higher scores in those with lower trust in government/journalists (0.90 (0.34), p = 0.008). These associations did not depend upon surrogate markers of infection with SARS-CoV-2. CONCLUSIONS: Trust in information sources on COVID-19 may be associated with incident persistent symptoms and associated psychological burden, regardless of infection with SARS-CoV-2.

Association of Self-reported COVID-19 Infection and SARS-CoV-2 Serology Test Results With Persistent Physical Symptoms Among French Adults During the COVID-19 Pandemic.

Importance: After an infection by SARS-CoV-2, many patients present with persistent physical symptoms that may impair their quality of life. Beliefs regarding the causes of these symptoms may influence their perception and promote maladaptive health behaviors. Objective: To examine the associations of self-reported COVID-19 infection and SARS-CoV-2 serology test results with persistent physical symptoms (eg, fatigue, breathlessness, or impaired attention) in the general population during the COVID-19 pandemic. Design, Setting, and Participants: Participants in this cross-sectional analysis were 26 823 individuals from the French population-based CONSTANCES cohort, included between 2012 and 2019, who took part in the nested SAPRIS and SAPRIS-SERO surveys. Between May and November 2020, an enzyme-linked immunosorbent assay was used to detect anti-SARS-CoV-2 antibodies. Between December 2020 and January 2021, the participants reported whether they believed they had experienced COVID-19 infection and had physical symptoms during the previous 4 weeks that had persisted for at least 8 weeks. Participants who reported having an initial COVID-19 infection only after completing the serology test were excluded. Main Outcomes and Measures: Logistic regressions for each persistent symptom as the outcome were computed in models including both self-reported COVID-19 infection and serology test results and adjusting for age, sex, income, and educational level. Results: Of 35 852 volunteers invited to participate in the study, 26 823 (74.8%) with complete data were included in the present study (mean [SD] age, 49.4 [12.9] years; 13 731 women [51.2%]). Self-reported infection was positively associated with persistent physical symptoms, with odds ratios ranging from 1.39 (95% CI, 1.03-1.86) to 16.37 (95% CI, 10.21-26.24) except for hearing impairment (odds ratio, 1.45; 95% CI, 0.82-2.55) and sleep problems (odds ratio, 1.14; 95% CI, 0.89-1.46). A serology test result positive for SARS-COV-2 was positively associated only with persistent anosmia (odds ratio, 2.72; 95% CI, 1.66-4.46), even when restricting the analyses to participants who attributed their symptoms to COVID-19 infection. Further adjusting for self-rated health or depressive symptoms yielded similar results. There was no significant interaction between belief and serology test results. Conclusions and Relevance: The findings of this cross-sectional analysis of a large, population-based French cohort suggest that persistent physical symptoms after COVID-19 infection may be associated more with the belief in having been infected with SARS-CoV-2 than with having laboratory-confirmed COVID-19 infection. Further research in this area should consider underlying mechanisms that may not be specific to the SARS-CoV-2 virus. A medical evaluation of these patients may be needed to prevent symptoms due to another disease being erroneously attributed to "long COVID."

Do Anxiety and Depression Predict Persistent Physical Symptoms After a Severe COVID-19 Episode? A Prospective Study.

Background: Persistent physical symptoms are common after a coronavirus disease 2019 (COVID-19) episode, but their pathophysiological mechanisms remain poorly understood. In this study, we aimed to explore the association between anxiety and depression at 1-month after acute infection and the presence of fatigue, dyspnea, and pain complaints at 3-month follow-up. Methods: We conducted a prospective study in patients previously hospitalized for COVID-19 followed up for 3 months. The Hospital Anxiety and Depression Scale (HAD-S) was administered by physicians at 1-month follow-up, and the presence of fatigue, dyspnea, and pain complaints was assessed at both 1 month and 3 months. Multivariable logistic regressions explored the association between anxiety and depression subscores and the persistence of each of the physical symptom at 3 months. Results: A total of 84 patients were included in this study (Median age: 60 years, interquartile range: 50.5-67.5 years, 23 women). We did not find any significant interaction between anxiety and the presence of fatigue, dyspnea, or pain complaints at 1 month in predicting the persistence of these symptoms at 3 months (all p ≥ 0.36). In contrast, depression significantly interacted with the presence of pain at 1 month in predicting the persistence of pain at 3 months (OR: 1.60, 95% CI: 1.02-2.51, p = 0.039), with a similar trend for dyspnea (OR: 1.51, 95% CI: 0.99-2.28, p = 0.052). Discussion and Conclusion: Contrary to anxiety, depression after an acute COVID-19 episode may be associated with and increased risk of some persistent physical symptoms, including pain and dyspnea.

Association Between Psychological Distress, Cognitive Complaints, and Neuropsychological Status After a Severe COVID-19 Episode: A Cross-Sectional Study.

Background: Cognitive complaints are frequent after COVID-19 but their clinical determinants are poorly understood. This study aimed to explore the associations of objective cognitive performances and psychological distress with cognitive complaints in COVID-19 survivors. Materials and Methods: Patients previously hospitalized for COVID-19 in a university hospital during the first wave of COVID-19 pandemic in France were followed-up at 1 month after their admission. Cognitive complaints were self-reported and standardized instruments were used to assess neuropsychological status (Digit Symbol Substitution Test, Semantic Verbal Fluency Test, Mini Mental Status Examination) and psychological distress (Hospital Anxiety and Depression Scale, HADS). Multivariable analyses were adjusted for age, sex, admission in intensive care unit (ICU) and need for oxygen and C-reactive protein. Results: One hundred patients (34% women, median age: 60 years [interquartile range: 49-72)] completed the neuropsychological assessment at follow-up. In multivariable analyses, cognitive complaints at 1-month were associated with greater HADS score (OR for one interquartile range: OR: 1.96, 95% CI: 1.08-3.57) and older age (OR: 1.05, 95% CI: 1.01-1.09) and, negatively, with admission in ICU (OR: 0.22, 95% CI: 0.05-0.90). In contrast, none of the objective neuropsychological test scores was significantly associated with cognitive complaints. Exploratory analysis showed that cognitive complaints were associated with both anxiety and depressive symptoms. Discussion: These preliminary results suggest that cognitive complaints at 1 month after a hospitalization for COVID-19 are associated with psychological distress, independently of objective neuropsychological status. Anxiety and depression symptoms should be systematically screened in patients presenting with cognitive complaints after a severe COVID-19 episode.

Changes in benzodiazepine use in the French general population after November 2015 terrorist attacks in Paris: an interrupted time series analysis of the national CONSTANCES cohort.

OBJECTIVES: To determine whether the terrorist attacks occurring in Paris on November 2015 have changed benzodiazepine use in the French population. DESIGN: Interrupted time series analysis. SETTING: National population-based cohort. PARTICIPANTS: 90 258 individuals included in the population-based CONSTANCES cohort from 2012 to 2017. OUTCOME MEASURES: Benzodiazepine use was evaluated according to two different indicators using objective data from administrative registries: weekly number of individuals with a benzodiazepine delivered prescriptions (BDP) and weekly number of defined daily dose (DDD). Two sets of analyses were performed according to sex and age (≤50 vs >50). Education, income and area of residence were additional stratification variables to search for at-risk subgroups. RESULTS: Among women, those with younger age (incidence rate ratios (IRR)=1.18; 95% CI=1.05 to 1.32 for BDP; IRR=1.14; 95% CI=1.03 to 1.27 for DDD), higher education (IRR=1.23; 95% CI=1.03 to 1.46 for BDP; IRR=1.23; 95% CI=1.01 to 1.51 for DDD) and living in Paris (IRR=1.27; 95% CI=1.05 to 1.54 for BDP) presented increased risks for benzodiazepine use. Among participants under 50, an overall increase in benzodiazepine use was identified (IRR=1.14; 95% CI=1.02 to 1.28 for BDP and IRR=1.12; 95% CI=1.01 to 1.25 for DDD) and in several strata. In addition to women, those with higher education (IRR=1.22; 95% CI=1.02 to 1.47 for BDP), lower income (IRR=1.17; 95% CI=1.02 to 1.35 for BDP) and not Paris residents (IRR=1.13; 95% CI=1.02 to 1.26 for BDP and IRR=1.13; 95% CI=1.03 to 1.26 for DDD) presented increased risks for benzodiazepine use. CONCLUSION: Terrorist attacks might increase benzodiazepine use at a population level, with at-risk subgroups being particularly concerned. Information and prevention strategies are needed to provide appropriate care after such events.

Relative Efficiency of Pitfall vs. Bait Trapping for Capturing Taxonomic and Functional Diversities of Ant Assemblages in Temperate Heathlands.

Whereas bait and pitfall trappings are two of the most commonly used techniques for sampling ant assemblages, they have not been properly compared in temperate open habitats. In this study, taking advantage of a large-scale project of heathland restoration (three sites along the French Atlantic Coast forming a north-south gradient), we evaluated the relative efficiency of these two methods for assessing both taxonomic and functional diversities of ants. Ants were collected and identified to species level, and six traits related to morphology, behavior (diet, dispersal and maximum foraging distance), and social life (colony size and dominance type) were attributed to all 23 species. Both observed and estimated species richness were significantly higher in pitfalls compared to spatially pair-matched bait traps. Functional richness followed the same pattern, with consistent results for both community weighted mean (CWM) and Rao's quadratic entropy. Taxonomic and functional diversities from pitfall assemblages increased from north to south locations, following a pattern frequently reported at larger spatial scales. Bait trapping can hardly be considered a complementary method to pitfall trapping for sampling ants in open temperate habitats, as it appears basically redundant with the latter sampling method, at least in coastal heathlands of the East-Atlantic coast.

Diagnostic Performance of the 4-Item Geriatric Depression Scale for Depression Screening in Older Patients with Cancer: The ELCAPA Cohort Study.

BACKGROUND: In older patients with cancer, depression is difficult to assess because of its heterogeneous clinical expression. The 4-item version of the Geriatric Depression Scale (GDS-4) is quick and easy to administer but has not been validated in this population. The present study was designed to test the diagnostic performance of the GDS-4 in a French cohort of older patients with cancer before treatment. MATERIALS AND METHODS: Our cross-sectional analysis of data from the Elderly Cancer Patient cohort covered all patients with cancer aged ≥70 years and referred for geriatric assessment at two centers in France between 2007 and 2018. The GDS-4's psychometric properties were evaluated against three different measures of depression: the geriatrician's clinical diagnosis (based on a semistructured interview), the 4th edition of the Diagnostic and Statistical Manual of Mental Disorders, and a cluster analysis. The scale's sensitivity, specificity, positive and negative likelihood ratios, and area under the receiver operating characteristic curve (AUROC) were calculated. RESULTS: In a sample of 2,293 patients (median age, 81 years; women, 46%), the GDS-4's sensitivity and specificity for detecting physician-diagnosed depression were, respectively, 90% and 89%. The positive and negative likelihood ratios were 8.2 and 0.11, and the AUROC was 92%. When considering the subset of patients with data on all measures of depression, the sensitivity and specificity values were, respectively, ≥90% and ≥72%, the positive and negative likelihood ratios were, respectively, ≥3.4 and ≤ 0.11, and the AUROC was ≥91%. CONCLUSION: The GDS-4 appears to be a clinically relevant, easy-to-use tool for routine depression screening in older patients with cancer. IMPLICATIONS FOR PRACTICE: Considering the overlap between symptoms of cancer and symptoms of depression, depression is particularly difficult to assess in older geriatric oncology and is associated with poor outcomes; there is a need for a routine psychological screening. Self-report instruments like the 4-item version of the Geriatric Depression Scale appears to be a clinically relevant, easy-to-use tool for routine depression screening in older patients with cancer. Asking four questions might enable physicians to screen older patients with cancer for depression and then guide them toward further clinical evaluation and appropriate care if required.

Transdisciplinary Bioblitz: Rapid biotic and abiotic inventory allows studying environmental changes over 60 years at the Biological Field Station of Paimpont (Brittany, France) and opens new interdisciplinary research opportunities.

BACKGROUND: The Biological Field Station of Paimpont (Station Biologique de Paimpont, SBP), owned by the University of Rennes and located in the Brocéliande Forest of Brittany (France), has been hosting student scientific research and field trips during the last 60 years. The study area of the SBP is a landscape mosaic of 17 ha composed of gorse moors, forests, prairies, ponds and creeks. Land use has evolved over time. Historical surveys by students and researchers focused on insects and birds. With this study, we aimed to increase the range of taxa observations, document changes in species composition and landscape and provide a basis for interdisciplinary research perspectives. We gathered historical data, implemented an all-taxon biodiversity inventory (ATBI) in different habitats of the SBP study area, measured abiotic factors in the air, water and soil and performed a photographical landscape observation during the BioBlitz held in July 2017. NEW INFORMATION: During the 24 h BioBlitz, organised by the SBP and the EcoBio lab from the University of Rennes and the French National Center of Scientific Research (CNRS), different habitats were individually sampled. Seventy-seven experts, accompanied by 120 citizens and 12 young people participating in the European Volunteer Service, observed, identified and databased 660 species covering 5 kingdoms, 8 phyla, 21 classes, 90 orders and 247 families. In total, there were 1819 occurrences including records identified to higher taxon ranks, thereby adding one more kingdom and four more phyla. Historical data collection resulted in 1176 species and 4270 occurrences databased. We also recorded 13 climatic parameters, 10 soil parameters and 18 water parameters during the BioBlitz. Current habitats were mapped and socio-ecological landscape changes were assessed with a diachronic approach using 32 historical photographs and historical maps. The coupling of historical biodiversity data with new biotic and abiotic data and a photographic comparison of landscape changes allows an integrative understanding of how the SBP changed from agriculturally-used land to a managed natural area within the last 60 years. Hence, this BioBlitz represents an important holistic sampling of biodiversity for studies on trophic webs or on trophic interactions or on very diverse, but connected, habitats. The integration of social, biotic and abiotic data opens innovative research opportunities on the evolution of socio-ecosystems and landscapes.

Depressive Symptom Profiles and Survival in Older Patients with Cancer: Latent Class Analysis of the ELCAPA Cohort Study.

BACKGROUND: The expression of depressive symptoms in older people with cancer is heterogeneous because of specific features of age or cancer comorbidity. We aimed to identify depressive symptom profiles in this population and describe the associated features including survival. MATERIALS AND METHODS: Patients ≥70 years who were referred to geriatric oncology clinics were prospectively included in the ELCAPA study. In this subanalysis, depressive symptoms were used as indicators in a latent class analysis. Multinomial multivariable logistic regression and Cox models examined the association of each class with baseline characteristics and mortality. RESULTS: For the 847 complete-case patients included (median age, 79 years; interquartile range, 76-84; women, 47.9%), we identified five depressive symptom classes: "no depression/somatic only" (38.8%), "no depression/pauci-symptomatic" (26.4%), "severe depression" (20%), "mild depression" (11.8%), and "demoralization" (3%). Compared with the no depression/pauci-symptomatic class, the no depression/somatic only and severe depression classes were characterized by more frequent comorbidities with poorer functional status and higher levels of inflammation. "Severe" and "mild" depression classes also featured poorer nutritional status, more medications, and more frequent falls. Severe depression was associated with poor social support, inpatient status, and increased risk of mortality at 1 year (adjusted hazard ratio, 1.62, 95% confidence interval, 1.06-2.48) and 3 years (adjusted hazard ratio, 1.49; 95% confidence interval, 1.06-2.10). CONCLUSION: A data-driven approach based on depressive symptoms identified five different depressive symptom profiles, including demoralization, in older patients with cancer. Severe depression was independently and substantially associated with poor survival. IMPLICATIONS FOR PRACTICE: Older patients with cancer present with distinct profiles of depressive symptomatology, including different severity levels of depression and the demoralization syndrome. Clinicians should use a systematic assessment of depressive symptoms to adequately highlight these distinct profiles. Geriatric and oncological features are differently associated with these profiles. For instance, severe depression was associated with more frequent comorbidities with poorer functional, poor nutritional status, polypharmacy, frequent falls, inpatient status and poor social support. Also, severe depression was independently and substantially associated with poor survival so that the identification and management of depression should be considered a high priority in this population.