European Society of Cardiology guidelines and 1 year outcomes of acute heart failure treatment in Central Asia and Europe

AIMS

Outcomes reported for patients with hospitalization for acute heart failure (AHF) treatment vary worldwide. Ethnicity-associated characteristics may explain this observation. This observational study compares characteristics and 1-year outcomes of Kyrgyz and Swiss AHF patients against the background of European Society of Cardiology guidelines-based cardiovascular care established in both countries.

METHODS AND RESULTS

The primary endpoint was 1 year all-cause mortality (ACM); the secondary endpoint was 1 year ACM or HF-related rehospitalization. A total of 538 Kyrgyz and 537 Swiss AHF patients were included. Kyrgyz patients were younger (64.0 vs. 83.0 years, P < 0.001); ischaemic or rheumatic heart disease and chronic obstructive pulmonary disease were more prevalent (always P < 0.001). In Swiss patients, smoking, dyslipidaemia, hypertension, and atrial flutter/fibrillation were more frequent (always P ≤ 0.035); moreover, left ventricular ejection fraction (LVEF) was higher (47% vs. 36%; P < 0.001), and >mild aortic stenosis was more prevalent (P < 0.001). Other valvular pathologies were more prevalent in Kyrgyz patients (P < 0.001). At discharge, more Swiss patients were on vasodilatory treatment (P < 0.006), while mineralocorticoid receptor antagonists (P = 0.001), beta-blockers (P = 0.001), or loop diuretics (P < 0.001) were less often prescribed. In Kyrgyz patients, unadjusted odds for the primary and secondary endpoints were lower [odds ratio (OR) 0.68, 95% confidence interval (CI): 0.51-0.90, P = 0.008; OR 0.72, 95% CI: 0.56-0.91, P = 0.006, respectively]. After adjustment for age and LVEF, no difference remained (primary endpoint: OR 1.03, 95% CI: 0.71-1.49, P = 0.894; secondary endpoint: OR 0.82, 95% CI: 0.60-1.12, P = 0.206).

CONCLUSIONS

On the background of identical guidelines, age- and LVEF-adjusted outcomes were not different between Central Asian and Western European AHF patients despite of large ethnical disparity.

Differential blood counts do not consistently predict clinical measurements of bone mineral density and microarchitecture at homeostasis

The hematopoietic stem cell niche constitutes a complex bone marrow (BM) microenvironment. Osteoporosis is characterized by both reduced bone mineral density (BMD) and microarchitectural deterioration, constituting the most frequent alteration of the BM microenvironment. It is unclear to which extent modifications of the BM microenvironment, including in the context of osteoporosis, influence blood cell production. We aimed to describe the association between lumbar spine and total hip BMD and microarchitecture (assessed by trabecular bone score [TBS]) and differential blood counts. Data were collected at two time points from 803 (first assessment) and 901 (second assessment) postmenopausal women participating in the CoLaus/OsteoLaus cohort, a population‐based sample in Lausanne, Switzerland. Participants with other active disease or treatment that could influence hematopoiesis or osteoporosis were excluded. Bivariate and multivariate associations between each peripheral blood cell count and BMD or TBS were performed. Additionally, participants in the highest BMD and TBS tertiles were compared with participants in the lowest BMD and TBS tertiles. At first assessment, only neutrophils were significantly different in the lowest BMD and TBS tertile (3.18 ± 0.09 versus 3.47 ± 0.08 G/L, p = 0.028). At the second assessment, leucocytes (5.90 ± 0.11 versus 5.56 ± 0.10 G/L, p = 0.033), lymphocytes (1.87 ± 0.04 versus 1.72 ± 0.04 G/L p = 0.033), and monocytes (0.49 ± 0.01 versus 0.46 ± 0.1 G/L, p = 0.033) were significantly different. Power analysis did not identify quasi‐significant associations missed due to sample size. Although significant associations between blood counts and BMD or TBS were found, none was consistent across bone measurements or assessments. This study suggests that, at homeostasis and in postmenopausal women, there is no clinically significant association between the osteoporotic microenvironment and blood production output as measured by differential blood counts. In the context of conflicting reports on the relationship between osteoporosis and hematopoiesis, our study represents the first prospective two time‐point analysis of a large, homogenous cohort at steady state. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

A differential process mining analysis of COVID-19 management for cancer patients

During the acute phase of the COVID-19 pandemic, hospitals faced a challenge to manage patients, especially those with other comorbidities and medical needs, such as cancer patients. Here, we use Process Mining to analyze real-world therapeutic pathways in a cohort of 1182 cancer patients of the Lausanne University Hospital following COVID-19 infection. The algorithm builds trees representing sequences of coarse-grained events such as Home, Hospitalization, Intensive Care and Death. The same trees can also show probability of death or time-to-event statistics in each node. We introduce a new tool, called Differential Process Mining, which enables comparison of two patient strata in each node of the tree, in terms of hits and death rate, together with a statistical significance test. We thus compare management of COVID-19 patients with an active cancer in the first vs. second COVID-19 waves to quantify hospital adaptation to the pandemic. We also compare patients having undergone systemic therapy within 1 year to the rest of the cohort to understand the impact of an active cancer and/or its treatment on COVID-19 outcome. This study demonstrates the value of Process Mining to analyze complex event-based real-world data and generate hypotheses on hospital resource management or on clinical patient care.

Minimum Reporting Standards for in vivo Magnetic Resonance Spectroscopy (MRSinMRS): Experts' consensus recommendations

The translation of MRS to clinical practice has been impeded by the lack of technical standardization. There are multiple methods of acquisition, post-processing, and analysis whose details greatly impact the interpretation of the results. These details are often not fully reported, making it difficult to assess MRS studies on a standardized basis. This hampers the reviewing of manuscripts, limits the reproducibility of study results, and complicates meta-analysis of the literature. In this paper a consensus group of MRS experts provides minimum guidelines for the reporting of MRS methods and results, including the standardized description of MRS hardware, data acquisition, analysis, and quality assessment. This consensus statement describes each of these requirements in detail and includes a checklist to assist authors and journal reviewers and to provide a practical way for journal editors to ensure that MRS studies are reported in full.