Interrogating the haemodynamic effects of haemodialysis arteriovenous fistula on cardiac structure and function

Arteriovenous fistula (AVF) is the preferred type of vascular access for maintenance haemodialysis but it may contribute to maladaptive cardiovascular remodelling. We studied the effect of AVF creation on cardiac structure and function in patients with chronic kidney disease (CKD). In this prospective cohort study patients with CKD listed for first AVF creation underwent cardiac magnetic resonance (CMR) imaging at baseline and at 6 weeks. All participants had ultrasound measurements of fistula blood flow at 6 weeks. The primary outcome was the change in left ventricular (LV) mass. Secondary outcomes included changes in LV volumes, LV ejection fraction, cardiac output, LV global longitudinal strain and N-terminal-pro B-type natriuretic peptide (NT-proBNP). A total of 55 participants were enrolled, of whom 40 (mean age 59 years) had AVF creation and completed both scans. On the second CMR scan, a mean increase of 7.4 g (95% CI 1.1–13.7, p = 0.02) was observed in LV mass. Significant increases in LV end-diastolic volumes (p = 0.04) and cardiac output (p = 0.02) were also seen after AVF creation. No significant changes were observed in LV end-systolic volumes, LV ejection fraction, NT-proBNP and LV global longitudinal strain. In participants with fistula blood flows ≥ 600 mL/min (n = 22) the mean increase in LV mass was 15.5 g (95% CI 7.3–23.8) compared with a small decrease of 2.5 g (95% CI − 10.6 to 5.6) in participants with blood flows < 600 mL/min (n = 18). Creation of AVF for haemodialysis resulted in a significant increase of LV myocardial mass within weeks after surgery, which was proportional to the fistula flow

Cancer cell adaptation to chemotherapy

BACKGROUND: Tumor resistance to chemotherapy may be present at the beginning of treatment, develop during treatment, or become apparent on re-treatment of the patient. The mechanisms involved are usually inferred from experiments with cell lines, as studies in tumor-derived cells are difficult. Studies of human tumors show that cells adapt to chemotherapy, but it has been largely assumed that clonal selection leads to the resistance of recurrent tumors. METHODS: Cells derived from 47 tumors of breast, ovarian, esophageal, and colorectal origin and 16 paired esophageal biopsies were exposed to anticancer agents (cisplatin; 5-fluorouracil; epirubicin; doxorubicin; paclitaxel; irinotecan and topotecan) in short-term cell culture (6 days). Real-time quantitative PCR was used to measure up- or down-regulation of 16 different resistance/target genes, and when tissue was available, immunohistochemistry was used to assess the protein levels. RESULTS: In 8/16 paired esophageal biopsies, there was an increase in the expression of multi-drug resistance gene 1 (MDR1) following epirubicin + cisplatin + 5-fluorouracil (ECF) chemotherapy and this was accompanied by increased expression of the MDR-1 encoded protein, P-gp. Following exposure to doxorubicin in vitro, 13/14 breast carcinomas and 9/12 ovarian carcinomas showed >2-fold down-regulation of topoisomerase IIα (TOPOIIα). Exposure to topotecan in vitro, resulted in >4-fold down-regulation of TOPOIIα in 6/7 colorectal tumors and 8/10 ovarian tumors. CONCLUSION: This study suggests that up-regulation of resistance genes or down-regulation in target genes may occur rapidly in human solid tumors, within days of the start of treatment, and that similar changes are present in pre- and post-chemotherapy biopsy material. The molecular processes used by each tumor appear to be linked to the drug used, but there is also heterogeneity between individual tumors, even those with the same histological type, in the pattern and magnitude of response to the same drugs. Adaptation to chemotherapy may explain why prediction of resistance mechanisms is difficult on the basis of tumor type alone or individual markers, and suggests that more complex predictive methods are required to improve the response rates to chemotherapy

Post-COVID-19 illness trajectory: a multisystem investigation [Pre-print]

Background: The pathophysiology and trajectory of multiorgan involvement in post-COVID-19 syndrome is uncertain. Methods: A prospective, multicenter, longitudinal, cohort study involving post-COVID-19 patients enrolled in-hospital or early post-discharge (visit 1) and re-evaluated 28-60 days post-discharge (visit 2). Multisystem investigations included chest computed tomography with pulmonary and coronary angiography, cardiovascular and renal magnetic resonance imaging, digital electrocardiography, and multisystem biomarkers. The primary outcome was the adjudicated likelihood of myocarditis. Results: 161 patients (mean age 55 years, 43% female) and 27 controls with similar age, sex, ethnicity, and vascular risk factors were enrolled from 22 May 2020 to 2 July 2021 and had a primary outcome evaluation. Compared to controls, at 28-60 days post-discharge, patients with COVID-19 had persisting evidence of cardio-renal involvement, systemic inflammation, and hemostasis pathway activation. Myocarditis was adjudicated as being not likely (n=17; 10%), unlikely (n=56; 35%), probable (n=67; 42%) or very likely (n=21; 13%). Acute kidney injury (odds ratio, 95% confidence interval: 3.40 (1.13, 11.84); p=0.038) and low hemoglobin A1c (0.26 (0.07, 0.87); p=0.035) were multivariable associates of adjudicated myocarditis. During convalescence, compared to controls, COVID-19 was associated with worse health-related quality of life (EQ5D-5L) (p<0.001), illness perception (p<0.001), anxiety and depression (p<0.001), physical activity (p<0.001) and predicted maximal oxygen utilization (ml/kg/min) (p<0.001). These measures were associated with adjudicated myocarditis. Conclusions: The illness trajectory of COVID-19 includes persisting cardio-renal inflammation, lung damage and hemostasis activation. Adjudicated myocarditis occurred in one in eight hospitalized patients and was associated with impairments in health status, physical and psychological wellbeing during community convalescence. Public registration: ClinicalTrials.gov identifier is NCT04403607

Socioeconomic deprivation and illness trajectory in the Scottish population after COVID-19 hospitalization

Background The associations between deprivation and illness trajectory after hospitalisation for coronavirus disease-19 (COVID-19) are uncertain. Methods A prospective, multicentre cohort study was conducted on post-COVID-19 patients, enrolled either in-hospital or shortly post-discharge. Two evaluations were carried out: an initial assessment and a follow-up at 28–60 days post-discharge. The study encompassed research blood tests, patient-reported outcome measures, and multisystem imaging (including chest computed tomography (CT) with pulmonary and coronary angiography, cardiovascular and renal magnetic resonance imaging). Primary and secondary outcomes were analysed in relation to socioeconomic status, using the Scottish Index of Multiple Deprivation (SIMD). The EQ-5D-5L, Brief Illness Perception Questionnaire (BIPQ), Patient Health Questionnaire-4 (PHQ-4) for Anxiety and Depression, and the Duke Activity Status Index (DASI) were used to assess health status. Results Of the 252 enrolled patients (mean age 55.0 ± 12.0 years; 40% female; 23% with diabetes), deprivation status was linked with increased BMI and diabetes prevalence. 186 (74%) returned for the follow-up. Within this group, findings indicated associations between deprivation and lung abnormalities (p = 0.0085), coronary artery disease (p = 0.0128), and renal inflammation (p = 0.0421). Furthermore, patients with higher deprivation exhibited worse scores in health-related quality of life (EQ-5D-5L, p = 0.0084), illness perception (BIPQ, p = 0.0004), anxiety and depression levels (PHQ-4, p = 0.0038), and diminished physical activity (DASI, p = 0.002). At the 3-month mark, those with greater deprivation showed a higher frequency of referrals to secondary care due to ongoing COVID-19 symptoms (p = 0.0438). However, clinical outcomes were not influenced by deprivation. Conclusions In a post-hospital COVID-19 population, socioeconomic deprivation was associated with impaired health status and secondary care episodes. Deprivation influences illness trajectory after COVID-19

Bootstrapping longitudinal data with multiple levels of variation

A set of estimators for model parameters in the framework of linear mixed models is considered for longitudinal data with multiple levels of random variation. Various bootstrap methods are assessed for making inference about the parameters including the variance components for which, typically, bootstrap confidence intervals show undercoverage. A new weighted estimating equation bootstrap, which uses different weight schemes for different parameter estimators, is proposed. It shows improved variance estimation for the variance component estimators and produces confidence intervals with better coverage for the variance components in cases with normal and non-normal errors

Serial changes in adiponectin and BNP in ACS patients: paradoxical associations with each other and with prognosis

International audiencePlasma adiponectin is inversely associated with risk of coronary heart disease in healthy people. However, adiponectin and B-type natriuretic peptide (BNP) are both known to be positively associated with risk of poor outcome, and with each other, in acute coronary syndrome (ACS) patients. Serial changes in plasma adiponectin and BNP following ACS have not been assessed previously, and may clarify these apparently paradoxical associations. In this study, adiponectin, BNP, classical risk markers, and clinical parameters were measured on plasma from 442 consecutive ACS patients in an urban teaching hospital, with repeat measures at 7 weeks (n=338). Patients were followed-up for 10 months. Poor outcome was defined as mortality or readmission for ACS or congestive heart failure (n=90). In unadjusted analysis, change in adiponectin (but not baseline or 7 week adiponectin) was significantly associated with risk of adverse outcome: odds ratio (OR) 5.42 (95% CI 2.78 – 10.55). This association persisted after adjusting for classical risk factors and clinical markers, but was fully attenuated by adjusting for the 7 week BNP measurement [1.13 (0.27 – 4.92)], which itself remained associated with risk [5.86 (1.04 – 32.94)]. Adiponectin and BNP positively correlated at baseline, 7 weeks, and change in both parameters over 7 weeks also correlated (r=0.39, p<0.001). In conclusion, increases in plasma adiponectin (rather than absolute levels) after ACS are related to risk of adverse outcome, but this relationship is not independent of BNP levels. Our results allude to a potential direct or indirect relationship between adiponectin and BNP post-ACS that requires further investigation

Sattar N. Serial changes in adiponectin and BNP in ACS patients: paradoxical associations with each other and with prognosis. Clin Sci (Lond

A B S T R A C T Plasma adiponectin is inversely associated with the risk of coronary heart disease in healthy people. However, adiponectin and BNP (B-type natriuretic peptide) are both known to be positively associated with a risk of poor outcome, and with each other, in ACS (acute coronary syndrome) patients. Serial changes in plasma adiponectin and BNP following ACS have not been assessed previously, and may clarify these apparently paradoxical associations. In the present study, adiponectin, BNP, classical risk markers and clinical parameters were measured in plasma from 442 consecutive ACS patients in an urban teaching hospital, with repeat measures at 7 weeks (n = 338). Patients were followed-up for 10 months. Poor outcome was defined as mortality or readmission for ACS or congestive heart failure (n = 90). In unadjusted analysis, the change in adiponectin (but not baseline or 7-week adiponectin) was significantly associated with the risk of an adverse outcome {odds ratio (OR), 5.42 [95 % CI (confidence interval), 2.78-10.55]}. This association persisted after adjusting for classical risk factors and clinical markers, but was fully attenuated by adjusting for the 7-week BNP measurement [OR, 1.13 (95 % CI, 0.27-4.92)], which itself remained associated with risk [OR, 5.86 (95 % CI, 1.04-32.94)]. Adiponectin and BNP positively correlated at baseline and 7 weeks, and the change in both parameters over 7 weeks also correlated (r = 0.39, P &lt; 0.001). In conclusion, increases in plasma adiponectin (rather than absolute levels) after ACS are related to the risk of an adverse outcome, but this relationship is not independent of BNP levels. The results of the present study allude to a potential direct or indirect relationship between adiponectin and BNP post-ACS which requires further investigation