CD4/CD8 Ratio and Cancer Risk among Adults with HIV

Background: Independent of CD4 cell count, a low CD4/CD8 ratio in people with HIV (PWH) is associated with deleterious immune senescence, activation, and inflammation, which may contribute to carcinogenesis and excess cancer risk. We examined whether low CD4/CD8 ratios predicted cancer among PWH in the United States and Canada. Methods: We examined all cancer-free PWH with 1 or more CD4/CD8 values from North American AIDS Cohort Collaboration on Research and Design observational cohorts with validated cancer diagnoses between 1998 and 2016. We evaluated the association between time-lagged CD4/CD8 ratio and risk of specific cancers in multivariable, time-updated Cox proportional hazard models using restricted cubic spines. Models were adjusted for age, sex, race and ethnicity, hepatitis C virus, and time-updated CD4 cell count, HIV RNA, and history of AIDS-defining illness. Results: Among 83 893 PWH, there were 5628 incident cancers, including lung cancer (n = 755), Kaposi sarcoma (n = 501), non-Hodgkin lymphoma (n = 497), and anal cancer (n = 439). The median age at cohort entry was 43 years. The overall median 6-month lagged CD4/CD8 ratio was 0.52 (interquartile range = 0.30-0.82). Compared with a 6-month lagged CD4/CD8 of 0.80, a CD4/CD8 of 0.30 was associated with increased risk of any incident cancer (adjusted hazard ratio = 1.24 [95% confidence interval = 1.14 to 1.35]). The CD4/CD8 ratio was also inversely associated with non-Hodgkin lymphoma, Kaposi sarcoma, lung cancer, anal cancer, and colorectal cancer in adjusted analyses (all 2-sided P <. 05). Results were similar using 12-, 18-, and 24-month lagged CD4/CD8 values. Conclusions: A low CD4/CD8 ratio up to 24 months before cancer diagnosis was independently associated with increased cancer risk in PWH and may serve as a clinical biomarker

Impact of body mass index on mortality and hospitalisation of patients with atrial fibrillation

Background: Atrial fibrillation represents a substantial clinical and public health issue. The definitive impact of body mass index on prognosis of patients with chronic (persistent or permanent) atrial fibrillation remains undetermined. Aim: The purpose of this study was to investigate the association of body mass index with health outcomes (mortality and re-hospitalisation) of patients with chronic atrial fibrillation. Methods: Using data from the Standard versus Atrial Fibrillation spEcific managemenT strategY (SAFETY) trial (a randomised controlled trial of home-based, atrial fibrillation-specific disease management), we performed post-hoc analyses of mortality and re-hospitalisation outcomes during minimum 24-month follow-up according to baseline body mass index profile. Results: Of 297 participants (mean age 71±11 years, 47% female, mean body mass index 29.6±6.7 kg/m²), 35.0% of participants were overweight (body mass index 25.0-29.9 kg/m²) and 43.1% were obese (body mass index≥30 kg/m²). During follow-up, n=42 died including 16/65 (24.6%) classified as normal body mass index, 16/104 (15.4%) classified as overweight and 10/128 (7.8%) classified as obese. Increasing body mass index was not associated with increased mortality but was associated with re-hospitalisation due to cardiovascular disease with greater length-of-stay (odds ratio 1.05; 95% confidence interval 1.00-1.09, p=0.032). Obese individuals experienced increased unplanned admissions compared to overweight individuals (incidence rate ratio 0.71; 95% confidence interval 0.53-0.96, p=0.028), and increased cardiovascular-related (incidence rate ratio 0.58; 95% confidence interval 0.39-0.86, p=0.007) and all-cause admissions (incidence rate ratio 0.63; 95% confidence interval 0.45-0.89, p=0.008) compared to those classified as normal body mass index. Conclusion: Overweight and obesity were not associated with survival in patients with chronic atrial fibrillation but were associated with more frequent hospital care and prolonged stay.Jocasta Ball, Maja-Lisa Løchen, Melinda J Carrington, Joshua F Wiley and Simon Stewar

Multimorbidity and the risk of all-cause 30-day readmission in the setting of multidisciplinary management of chronic heart failure: a retrospective analysis of 830 hospitalized patients in Australia

Background: Multimorbidity has an adverse effect on health outcomes in hospitalized individuals with chronic heart failure (CHF), but the modulating effect of multidisciplinary management is unknown. Objective: The aim of this study was to test the hypothesis that increasing morbidity would independently predict an increasing risk of 30-day readmission despite multidisciplinary management of CHF. Methods: We studied patients hospitalized for any reason with heart failure receiving nurse-led, postdischarge multidisciplinary management. We profiled a matrix of expected comorbidities involving the most common coexisting conditions associated with CHF and examined the relationship between multimorbidity and 30-day all-cause readmission. Results: A total of 830 patients (mean age 73 ± 13 years and 65% men) were assessed. Multimorbidity was common, with an average of 6.6 ± 2.4 comorbid conditions with sex-based differences in prevalence of 4 of 10 conditions. Within 30 days of initial hospitalization, 216 of 830 (26%) patients were readmitted for any reason. Greater multimorbidity was associated with increasing readmission (4%-44% for those with 0-1 to 8-9 morbid conditions; adjusted odds ratio, 1.25; 95% confidence interval, 1.13-1.38) for each additional condition. Three distinct classes of patient emerged: class 1-diabetes, metabolic, and mood disorders; class 2-renal impairment; and class 3-low with relatively fewer comorbid conditions. Classes 1 and 2 had higher 30-day readmission than class 3 did (adjusted P < .01 for both comparisons).These data affirm that multimorbidity is common in adult CHF inpatients and in potentially distinct patterns linked to outcome. Overall, greater multimorbidity is associated with a higher risk of 30-day all-cause readmission despite high-quality multidisciplinary management. More innovative approaches to target-specific clusters of multimorbidity are required to improve health outcomes in affected individuals.Joshua F. Wiley, Yih-Kai Chan, Yasmin Ahamed, Jocasta Ball, Melinda J. Carrington, Barbara Riegel, Simon Stewar