Skip to content

Incremental Value of Right Ventricular Free-Wall Strain in Ventricular Functional Mitral Regurgitation: Insights from a Multicenter Study.

Sep 2026 · Journal of the American Society of Echocardiography · 0 citations · 37 references
Medicine

TL;DR

Right ventricular free-wall longitudinal strain is a robust determinant of adverse outcomes beyond conventional LV indices and A4C-LVLS in VFMR and might be incorporated into routine evaluation to improve risk stratification in VFMR.

Abstract

Background

Ventricular functional mitral regurgitation (VFMR) is a heterogeneous disease with widely variable outcomes, yet current risk stratification relies predominantly on left ventricular (LV) indices. This study aims to evaluate the incremental value of right ventricular free-wall longitudinal strain (RVfwLS) beyond conventional LV parameters and LV longitudinal strain (LVLS) in an unselected VFMR population.

Methods

This multicenter retrospective cohort included consecutive patients with moderately severe or greater VFMR diagnosed between 2010 and 2022. Right ventricular free-wall longitudinal strain and apical 4-chamber LVLS (A4C-LVLS) were quantified using automated software. The primary end point was cardiovascular death or death equivalent (LV assist device implantation or heart transplantation) during the longest available follow-up. Optimal cutoff for RVfwLS was derived from regression tree analysis and maximal selective rank statistics. Incremental prognostic value was assessed using likelihood ratio tests comparing nested models.

Results

Among the 487 patients included, 156 (32%) patients experienced the primary end point over a median follow-up of 2.6 (interquartle range, 0.85.9) years. Compared with event-free patients, those with events had larger LV volumes, but lower LV ejection fraction, A4C-LVLS, RV fractional area change (RVFAC), and RVfwLS (all P ≤ .005). Right ventricular free-wall longitudinal strain was independently associated with the primary end point on top of conventional LV indices, A4C-LVLS, and RVFAC (all P ≤ .047). Patients with A4C-LVLS < 8.7% and RVfwLS < 14% exhibited markedly worse 6-year event-free survival (48%) than those with higher biventricular strain (A4C-LVLS ≥ 8.7% and RVfwLS ≥ 14%; 72%; P < .001). Moreover, RVfwLS provided incremental prognostic value beyond A4C-LVLS, conventional LV indices, and RVFAC (all P ≤ .046).

Conclusions

Right ventricular free-wall longitudinal strain is a robust determinant of adverse outcomes beyond conventional LV indices and A4C-LVLS in VFMR. A cutoff near 14% reliably identified the highest-risk subgroup. These results might support incorporating RVfwLS into routine evaluation to improve risk stratification in VFMR.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

Agile - denoting "the quality of being agile, readiness for motion, nimbleness, activity, dexterity in motion" - software development methods are attempting to offer an answer to the eager business community asking for lighter weight along with faster and nimbler software development processes. This is especially the case with the rapidly growing and volatile Internet software industry as well as for the emerging mobile application environment. The new agile methods have evoked substantial amount of literature and debates. However, academic research on the subject is still scarce, as most of existing publications are written by practitioners or consultants. The aim of this publication is to begin filling this gap by systematically reviewing the existing literature on agile software development methodologies. This publication has three purposes. First, it proposes a definition and a classification of agile software development approaches. Second, it analyses ten software development methods that can be characterized as being "agile" against the defined criterion. Third, it compares these methods and highlights their similarities and differences. Based on this analysis, future research needs are identified and discussed.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 728 citations · ⚡54
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

Context: Software startups are newly created companies with no operating history and fast in producing cutting-edge technologies. These companies develop software under highly uncertain conditions, tackling fast-growing markets under severe lack of resources. Therefore, software startups present a unique combination of characteristics which pose several challenges to software development activities. Objective: This study aims to structure and analyze the literature on software development in startup companies, determining thereby the potential for technology transfer and identifying software development work practices reported by practitioners and researchers. Method: We conducted a systematic mapping study, developing a classification schema, ranking the selected primary studies according their rigor and relevance, and analyzing reported software development work practices in startups. Results: A total of 43 primary studies were identified and mapped, synthesizing the available evidence on software development in startups. Only 16 studies are entirely dedicated to software development in startups, of which 10 result in a weak contribution (advice and implications (6); lesson learned (3); tool (1)). Nineteen studies focus on managerial and organizational factors. Moreover, only 9 studies exhibit high scientific rigor and relevance. From the reviewed primary studies, 213 software engineering work practices were extracted, categorized and analyzed. Conclusion: This mapping study provides the first systematic exploration of the state-of-art on software startup research. The existing body of knowledge is limited to a few high quality studies. Furthermore, the results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54
#computer vision Open access Jul 2017

What happens when software developers are (un)happy

The growing literature on affect among software developers mostly reports on the linkage between happiness, software quality, and developer productivity. Understanding happiness and unhappiness in all its components -- positive and negative emotions and moods -- is an attractive and important endeavor. Scholars in industrial and organizational psychology have suggested that understanding happiness and unhappiness could lead to cost-effective ways of enhancing working conditions, job performance, and to limiting the occurrence of psychological disorders. Our comprehension of the consequences of (un)happiness among developers is still too shallow, being mainly expressed in terms of development productivity and software quality. In this paper, we study what happens when developers are happy and unhappy while developing software. Qualitative data analysis of responses given by 317 questionnaire participants identified 42 consequences of unhappiness and 32 of happiness. We found consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts. Our classification scheme, available as open data enables new happiness research opportunities of cause-effect type, and it can act as a guideline for practitioners for identifying damaging effects of unhappiness and for fostering happiness on the job.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 236 citations · ⚡13
#computer vision Open access Oct 2004

Mobile-D: an agile approach for mobile application development

Mobile phones have been closed environments until recent years. The change brought by open platform technologies such as the Symbian operating system and Java technologies has opened up a significant business opportunity for anyone to develop application software such as games for mobile terminals. However, developing mobile applications is currently a challenging task due to the specific demands and technical constraints of mobile development. Furthermore, at the moment very little is known about the suitability of the different development processes for mobile application development. Due to these issues, we have developed an agile development approach called Mobile-D. The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed.

P. Abrahamsson, Antti Hanhineva, H. Hulkko et al. · 225 citations · ⚡18

Related blog posts

MIT News · Artificial Intelligence Aug 17, 2026

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.