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Skvortsov D, Cherepanin A, Fadeeva Y, Timonin A, Nosenko N. Functional Tests of the Abdominal Wall Muscles in Normal Subjects and in Patients with Diastasis and Oblique Inguinal Hernias in a Pilot Study. J Funct Morphol Kinesiol 2024; 9:164. [PMID: 39311272 PMCID: PMC11417765 DOI: 10.3390/jfmk9030164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Revised: 09/10/2024] [Accepted: 09/11/2024] [Indexed: 09/26/2024] Open
Abstract
OBJECTIVES To identify typical patterns of abdominal wall muscle activation in patients with diastasis recti and inguinal hernias compared to controls during the Valsalva maneuver, voluntary coughing, and physical activity. METHODS The study included 15 subjects: 5 with diastasis recti, 4 with inguinal hernias, and 6 healthy controls. The functions of rectus abdominis (RA) and external oblique (OE) muscles were measured by surface electromyography (sEMG). Using ultrasound, the thicknesses of the RA, OE, internal oblique (IO), and transversus abdominis (TA) muscles were assessed as well as the echo intensity (EI) of RA and OE. RESULTS We found a significant effect of the type of abdominal wall pathology on the maximum sEMG amplitude (p = 0.005). There was a reliable trend in maximum sEMG amplitude, with the highest one in diastasis recti and a significantly lower one in inguinal hernias. Duncan's test showed a significant difference in muscle thickness, both on the right and left sides, between patients with diastasis and controls, but only on the left side between patients with diastasis and those with inguinal hernia (p < 0.05). CONCLUSIONS The abdominal wall pathology results in a change in the function and structure of the abdominal muscles, which can be detected using electromyography and ultrasound examination. The presence of diastasis recti is accompanied by an increase in bioelectrical activity and a decrease in thickness.
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Affiliation(s)
- Dmitry Skvortsov
- Research and Clinical Center of Specialized Types of Health Care and Medical Technology, 107031 Moscow, Russia (Y.F.); (N.N.)
| | - Andrei Cherepanin
- Research and Clinical Center of Specialized Types of Health Care and Medical Technology, 107031 Moscow, Russia (Y.F.); (N.N.)
| | - Yulia Fadeeva
- Research and Clinical Center of Specialized Types of Health Care and Medical Technology, 107031 Moscow, Russia (Y.F.); (N.N.)
| | - Andrey Timonin
- Institution Research Center of Nutrition and Biotechnology, 109240 Moscow, Russia
| | - Nataly Nosenko
- Research and Clinical Center of Specialized Types of Health Care and Medical Technology, 107031 Moscow, Russia (Y.F.); (N.N.)
- Institution Research Center of Nutrition and Biotechnology, 109240 Moscow, Russia
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Hajian S, Ghoreifi A, Cen SY, Varghese B, Lei X, Hwang D, Tran K, Tejura T, Whang G, Djaladat H, Duddalwar V. Sarcopenia and body fat change as risk factors for radiologic incisional hernia following robotic nephrectomy. Skeletal Radiol 2023; 52:2469-2477. [PMID: 37249596 PMCID: PMC10582134 DOI: 10.1007/s00256-023-04371-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 05/31/2023]
Abstract
OBJECTIVE To assess the effect of body muscle and fat metrics on the development of radiologic incisional hernia (IH) following robotic nephrectomy. MATERIALS AND METHODS We retrospectively reviewed the records of patients who underwent robotic nephrectomy for kidney tumors between 2011 and 2017. All pre- and postoperative CTs were re-reviewed by experienced radiologists for detection of radiologic IH and calculation of the following metrics using Synapse 3D software: cross-sectional psoas muscle mass at the level of L3 and L4 as well as subcutaneous and visceral fat areas. Sarcopenia was defined as psoas muscle index below the lowest quartile. Cox proportional hazard model was constructed to examine the association between muscle and fat metrics and the risk of developing radiologic IH. RESULTS A total of 236 patients with a median (IQR) age of 64 (54-70) years were included in this study. In a median (IQR) follow-up of 23 (14-38) months, 62 (26%) patients developed radiologic IH. On Cox proportional hazard model, we were unable to detect an association between sarcopenia and risk of IH development. In terms of subcutaneous fat change from pre-op, both lower and higher values were associated with IH development (HR (95% CI) 2.1 (1.2-3.4), p = 0.01 and 2.4 (1.4-4.1), p < 0.01 for < Q1 and ≥ Q3, respectively). Similar trend was found for visceral fat area changes from pre-op with a HR of 2.8 for < Q1 and 1.8 for ≥ Q3. CONCLUSION Both excessive body fat gain and loss are associated with development of radiologic IH in patients undergoing robotic nephrectomy.
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Affiliation(s)
- Simin Hajian
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Alireza Ghoreifi
- Institute of Urology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Steven Yong Cen
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Bino Varghese
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Xiaomeng Lei
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Darryl Hwang
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Khoa Tran
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Tapas Tejura
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Gilbert Whang
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Hooman Djaladat
- Institute of Urology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Vinay Duddalwar
- Department of Radiology, University of Southern California, Los Angeles, CA, USA.
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Schutte G, Patton D, Moore Z, McNamara D, O’Connor T, Nugent L, Avsar P. A systematic review of the association between parastomal hernia and sarcopenia. Int J Colorectal Dis 2023; 38:29. [PMID: 36757565 PMCID: PMC9911470 DOI: 10.1007/s00384-023-04329-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/28/2023] [Indexed: 02/10/2023]
Abstract
BACKGROUND Sarcopenia is a multifactorial loss of muscle mass that can complicate surgical outcomes and increase morbidity and mortality. Parastomal hernias can occur after any surgery requiring stoma formation and is an area of concern as a complication as it can require a second surgery or emergency surgical intervention. AIM To assess the impact of sarcopenia on parastomal hernia formation in the postoperative period. METHOD A systematic search of publications using MEDLINE, CINAHL, and Cochrane databases was conducted in June 2022. Data were extracted, and a narrative synthesis was undertaken. The Crowe Critical Appraisal Tool (CCAT) assessed the quality of the included studies. The systematic review included original research studies, prospective and retrospective designs, and human studies written in English. Reviews, conference papers, opinion papers, and those including participants < 18 years old were excluded. No restrictions on the date of publication and study setting were applied. RESULTS Nine studies met the inclusion criteria, and these were conducted between 2016 and 2021; 56% (n = 5) used a retrospective study design. The mean sample size was 242.5 participants (SD = ±358.6). No consistent or standardized way of defining sarcopenia or measuring muscle mass was seen between the studies reviewed. However, 45% (n = 4) of the studies reported a significant relationship between sarcopenia and wound healing complications, including an increased incidence of parastomal and incisional hernias. The average CCAT score was 27.56 (SD = ±4.39). CONCLUSION There is no definitive relationship between sarcopenia and hernia development; however, four studies found a significant relationship between sarcopenia and hernia formation. It must also be considered that different disease processes can cause sarcopenia either through the disease process itself, or the treatment and management. More research and consistent measurements are needed before comparable and consistent outcomes can be compiled.
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Affiliation(s)
- Grant Schutte
- School of Medicine, Royal College of Surgeons in Ireland University of Medicine and Health Sciences, Dublin, Ireland
| | - Declan Patton
- Skin Wounds and Trauma Research Centre, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- School of Nursing and Midwifery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- Fakeeh College of Health Sciences, Jeddah, Saudi Arabia
- School of Nursing and Midwifery, Griffith University, Queensland, Australia
- Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, Australia
| | - Zena Moore
- Skin Wounds and Trauma Research Centre, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- School of Nursing and Midwifery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- Fakeeh College of Health Sciences, Jeddah, Saudi Arabia
- School of Nursing and Midwifery, Griffith University, Queensland, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
- Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Lida Institute, Shanghai, China
- University of Wales, Cardiff, UK
- National Health and Medical Research Council Centre of Research Excellence in Wiser Wound Care, Menzies Health Institute Queensland, Southport, QLD Australia
| | - Deborah McNamara
- Beaumont Hospital, Dublin, Ireland
- RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Tom O’Connor
- Skin Wounds and Trauma Research Centre, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- School of Nursing and Midwifery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- Fakeeh College of Health Sciences, Jeddah, Saudi Arabia
- School of Nursing and Midwifery, Griffith University, Queensland, Australia
- Lida Institute, Shanghai, China
| | - Linda Nugent
- School of Nursing and Midwifery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- Fakeeh College of Health Sciences, Jeddah, Saudi Arabia
| | - Pinar Avsar
- Skin Wounds and Trauma Research Centre, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- School of Nursing and Midwifery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
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McAuliffe PB, Desai AA, Talwar AA, Broach RB, Hsu JY, Serletti JM, Liu T, Tong Y, Udupa JK, Torigian DA, Fischer JP. Preoperative Computed Tomography Morphological Features Indicative of Incisional Hernia Formation After Abdominal Surgery. Ann Surg 2022; 276:616-625. [PMID: 35837959 PMCID: PMC9484790 DOI: 10.1097/sla.0000000000005583] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To investigate key morphometric features identifiable on routine preoperative computed tomography (CT) imaging indicative of incisional hernia (IH) formation following abdominal surgery. BACKGROUND IH is a pervasive surgical disease that impacts all surgical disciplines operating in the abdominopelvic region and affecting 13% of patients undergoing abdominal surgery. Despite the significant costs and disability associated with IH, there is an incomplete understanding of the pathophysiology of hernia. METHODS A cohort of patients (n=21,501) that underwent colorectal surgery was identified, and clinical data and demographics were extracted, with a primary outcome of IH. Two datasets of case-control matched pairs were created for feature measurement, classification, and testing. Morphometric linear and volumetric measurements were extracted as features from anonymized preoperative abdominopelvic CT scans. Multivariate Pearson testing was performed to assess correlations among features. Each feature's ability to discriminate between classes was evaluated using 2-sided paired t testing. A support vector machine was implemented to determine the predictive accuracy of the features individually and in combination. RESULTS Two hundred and twelve patients were analyzed (106 matched pairs). Of 117 features measured, 21 features were capable of discriminating between IH and non-IH patients. These features are categorized into three key pathophysiologic domains: 1) structural widening of the rectus complex, 2) increased visceral volume, 3) atrophy of abdominopelvic skeletal muscle. Individual prediction accuracy ranged from 0.69 to 0.78 for the top 3 features among 117. CONCLUSIONS Three morphometric domains identifiable on routine preoperative CT imaging were associated with hernia: widening of the rectus complex, increased visceral volume, and body wall skeletal muscle atrophy. This work highlights an innovative pathophysiologic mechanism for IH formation hallmarked by increased intra-abdominal pressure and compromise of the rectus complex and abdominopelvic skeletal musculature.
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Affiliation(s)
- Phoebe B McAuliffe
- Division of Plastic Surgery, University of Pennsylvania, Philadelphia, PA
| | - Abhishek A Desai
- Division of Plastic Surgery, University of Pennsylvania, Philadelphia, PA
| | - Ankoor A Talwar
- Division of Plastic Surgery, University of Pennsylvania, Philadelphia, PA
| | - Robyn B Broach
- Division of Plastic Surgery, University of Pennsylvania, Philadelphia, PA
| | - Jesse Y Hsu
- Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA
| | - Joseph M Serletti
- Division of Plastic Surgery, University of Pennsylvania, Philadelphia, PA
| | - Tiange Liu
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
| | - Yubing Tong
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - Jayaram K Udupa
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - Drew A Torigian
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - John P Fischer
- Division of Plastic Surgery, University of Pennsylvania, Philadelphia, PA
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