Improving the care of patients with obesity needing joint replacement - time for a combined ortho-bariatric approach? (2023)

Type of publication:Conference abstract

Author(s):Sinha Y.; Ikram S.; Ballinger T.; Gouveia S.; Burak M.; Wiggins T.; *Bathgate S.;

Citation:Obesity Surgery. Conference: 14th Annual Scientific Meeting of British Obesity and Metabolic Surgery Society, BOMSS 2023. Birmingham United Kingdom. 33(Supplement 1) (pp S129), 2023. Date of Publication: July 2023.

Abstract:Introduction Patients with obesity awaiting joint replacement surgery of the lower limbs may benefit from referral to weight-management services. (1) NICE provides BMI criteria for referral to tertiary bariatric services, however this does not always translate into clinical practice. (2, 3) Our aim was to assess the number and management of patients with obesity attending orthopaedic clinics for consideration of lower limb joint replacement. Methods A retrospective analysis was undertaken of all patients attending orthopaedic clinics for joint replacement secondary to osteoarthritis, in the lower limbs, at a single centre, over a two year period. Details of demographics, BMI, comorbidities and management plans were recorded from electronic patient records. Results 335 patients (60% of 558 cases) had BMI recorded and were used for subsequent analysis. 36% (n=120) of patients were eligible for referral to weight-management services. 10% (n=32) were refused joint replacement surgery due to BMI, of which 81% (n=26) were eligible for referral to weight-management services. Instead of surgery, these 32 patients were offered: physiotherapy (n=10, 38%), analgesia (n=12, 46%), non-specific weight-loss advice (n=16, 62%), GP referral for weight-loss (n=6, 23%), and tertiary service referral for weight-loss (n=2, 8%). Conclusions BMI is an important risk factor for orthopaedic operations and increased efforts should be made to record it pre-operatively. An MDT approach would capture the notable proportion of patients who are not being appropriately referred to weight-management services which may impact on their quality of life and postoperative outcomes.

The effect of green tea supplementation on the anthropometric outcomes in overweight and obese women: a time and dose-response meta-analysis of randomized controlled trials (2023)

Type of publication:
Systematic Review

Author(s):
Zhang Y; Tang N; Xia W; *Sanjid Seraj S; Pereira M; Velu P; Zhou H; Yang H; Du G

Citation:
Critical Reviews in Food Science & Nutrition. 1-10, 2023 Jun 10

Abstract:
Inconsistencies are evident within the literature regarding the role of Green Tea (GT) supplementation on women living with obesity. To address this, we conducted to determine the impact of GT supplementation on the weight, body mass index (BMI), and waist circumference (WC) in overweight and obese women using time and dose-response meta-analysis of randomized controlled trials (RCTs). This meta-analysis searched electronic Scopus, Web of Science, Embase, and PubMed/Medline databases from inception to December 1st, 2022. Data were reported as weighted mean difference (WMD) with 95% confidence interval (CI). A total of 2061 references were identified, and 15 articles with 16 RCT arms on body weight, 17 RCT arms on BMI, and 7 RCT arms on WC were included in the meta-analysis. GT supplementation significantly decreases body weight (WMD: -1.23 kg, 95% CI: -2.13 to -0.33, p = 0.007), BMI (WMD: -0.47 kg/m2, 95% CI: -0.87 to -0.07, p = 0.020) and WC (WMD: -3.46 cm, 95% CI: -6.75 to -0.16, p = 0.040). In subgroup analyses, GT consumption demonstrated lowered body weight with dosaes >=1000 mg/day (WMD: -1.38 kg), in the RCTs, which lasted >=8 wk (WMD: -1.24 kg). The non-linear dose-response assessment detected a negative correlation between the changes in body weight and BMI in green tea consumption of more than 1000 (mg/day). The GT supplementation reduced the weight, BMI, and WC in overweight and obese women. In clinical practice, healthcare professionals can recommend using GT with dosages >= 1000mg/day and duration >= 8 wk in obese women.

Altmetrics:

30-day morbidity and mortality of sleeve gastrectomy, Roux-en-Y gastric bypass and one anastomosis gastric bypass: a propensity score-matched analysis of the GENEVA data (2021)

Type of publication:Journal article

Author(s):Singhal R.; Wiggins T.; Cardoso V.R.; Gkoutos G.V.; Super J.; Ludwig C.; Mahawar K.; Pedziwiatr M.; Major P.; Zarzycki P.; Pantelis A.; Lapatsanis D.P.; Stravodimos G.; Matthys C.; Focquet M.; Vleeschouwers W.; Spaventa A.G.; Zerrweck C.; Vitiello A.; Berardi G.; Musella M.; Sanchez-Meza A.; Cantu F.J.; Mora F.; Cantu M.A.; Katakwar A.; Reddy D.N.; Elmaleh H.; Hassan M.; Elghandour A.; Elbanna M.; Osman A.; Khan A.; layani L.; Kiran N.; Velikorechin A.; Solovyeva M.; Melali H.; Shahabi S.; Agrawal A.; Shrivastava A.; Sharma A.; Narwaria B.; Narwaria M.; Raziel A.; Sakran N.; Susmallian S.; Karagoz L.; Akbaba M.; Piskin S.Z.; Balta A.Z.; Senol Z.; Manno E.; Iovino M.G.; Qassem M.; Arana-Garza S.; Povoas H.P.; Vilas-Boas M.L.; Naumann D.; Li A.; Ammori B.J.; Balamoun H.; Salman M.; Nasta A.M.; Goel R.; Sanchez-Aguilar H.; Herrera M.F.; Abou-mrad A.; Cloix L.; Mazzini G.S.; Kristem L.; Lazaro A.; Campos J.; Bernardo J.; Gonzalez J.; Trindade C.; Viveiros O.; Ribeiro R.; Goitein D.; Hazzan D.; Segev L.; Beck T.; Reyes H.; Monterrubio J.; Garcia P.; Benois M.; Kassir R.; Contine A.; Elshafei M.; Aktas S.; Weiner S.; Heidsieck T.; Level L.; Pinango S.; Ortega P.M.; Moncada R.; Valenti V.; Vlahovic I.; Boras Z.; Liagre A.; Martini F.; Juglard G.; Motwani M.; Saggu S.S.; Momani H.A.; Lopez L.A.A.; Cortez M.A.C.; Zavala R.A.; D'Haese RN C.; Kempeneers I.; Himpens J.; Lazzati A.; Paolino L.; Bathaei S.; Bedirli A.; Yavuz A.; Buyukkasap C.; Ozaydin S.; Kwiatkowski A.; Bartosiak K.; Waledziak M.; Santonicola A.; Angrisani L.; Iovino P.; Palma R.; Iossa A.; Boru C.E.; De Angelis F.; Silecchia G.; Hussain A.; Balchandra S.; Coltell I.B.; Perez J.L.; Bohra A.; Awan A.K.; Madhok B.; Leeder P.C.; Awad S.; Al-Khyatt W.; Shoma A.; Elghadban H.; Ghareeb S.; Mathews B.; Kurian M.; Larentzakis A.; Vrakopoulou G.Z.; Albanopoulos K.; Bozdag A.; Lale A.; Kirkil C.; Dincer M.; Bashir A.; Haddad A.; Hijleh L.A.; Zilberstein B.; de Marchi D.D.; Souza W.P.; Broden C.M.; Gislason H.; Shah K.; Ambrosi A.; Pavone G.; Tartaglia N.; Kona S.L.K.; Kalyan K.; Perez C.E.G.; Botero M.A.F.; Covic A.; Timofte D.; Maxim M.; Faraj D.; Tseng L.; Liem R.; Oren G.; Dilektasli E.; Yalcin I.; AlMukhtar H.; Hadad M.A.; Mohan R.; Arora N.; Bedi D.; Rives-Lange C.; Chevallier J.-M.; Poghosyan T.; Sebbag H.; Zinai L.; Khaldi S.; Mauchien C.; Mazza D.; Dinescu G.; Rea B.; Perez-Galaz F.; Zavala L.; Besa A.; Curell A.; Balibrea J.M.; Vaz C.; Galindo L.; Silva N.; Caballero J.L.E.; Sebastian S.O.; Marchesini J.C.D.; da Fonseca Pereira R.A.; Sobottka W.H.; Fiolo F.E.; Turchi M.; Coelho A.C.J.; Zacaron A.L.; Barbosa A.; Quinino R.; Menaldi G.; Paleari N.; Martinez-Duartez P.; de Esparza G.M.A.R.; Esteban V.S.; Torres A.; Garcia-Galocha J.L.; Josa M.; Pacheco-Garcia J.M.; Mayo-Ossorio M.A.; Chowbey P.; Soni V.; de Vasconcelos Cunha H.A.; Castilho M.V.; Ferreira R.M.A.; Barreiro T.A.; Charalabopoulos A.; Sdralis E.; Davakis S.; Bomans B.; Dapri G.; Van Belle K.; Takieddine M.; Vaneukem P.; Karaca E.S.A.; Karaca F.C.; Sumer A.; Peksen C.; Savas O.A.; Chousleb E.; Elmokayed F.; Fakhereldin I.; Aboshanab H.M.; Swelium T.; Gudal A.; Gamloo L.; Ugale A.; Ugale S.; Boeker C.; Reetz C.; Hakami I.A.; Mall J.; Alexandrou A.; Baili E.; Bodnar Z.; Maleckas A.; Gudaityte R.; Guldogan C.E.; Gundogdu E.; Ozmen M.M.; Thakkar D.; Dukkipati N.; Shah P.S.; Shah S.S.; Adil M.T.; Jambulingam P.; Mamidanna R.; Whitelaw D.; Jain V.; Veetil D.K.; Wadhawan R.; Torres M.; Tinoco T.; Leclercq W.; Romeijn M.; van de Pas K.; Alkhazraji A.K.; Taha S.A.; Ustun M.; Yigit T.; Inam A.; Burhanulhaq M.; Pazouki A.; Eghbali F.; Kermansaravi M.; Jazi A.H.D.; Mahmoudieh M.; Mogharehabed N.; Tsiotos G.; Stamou K.; Rodriguez F.J.B.; Navarro M.A.R.; Torres O.M.; Martinez S.L.; Tamez E.R.M.; Cornejo G.A.M.; Flores J.E.G.; Mohammed D.A.; Elfawal M.H.; Shabbir A.; Guowei K.; So J.B.; Kaplan E.T.; Kaplan M.; Kaplan T.; Pham D.T.; Rana G.; Kappus M.; Gadani R.; Kahitan M.; Pokharel K.; Osborne A.; Pournaras D.; Hewes J.; Napolitano E.; Chiappetta S.; Bottino V.; Dorado E.; Schoettler A.; Gaertner D.; Fedtke K.; Aguilar-Espinosa F.; Aceves-Lozano S.; Balani A.; Nagliati C.; Pennisi D.; Rizzi A.; Frattini F.; Foschi D.; Benuzzi L.; Parikh C.; Shah H.; Pinotti E.; Montuori M.; Borrelli V.; Dargent J.; Copaescu C.A.; Hutopila I.; Smeu B.; Witteman B.; Hazebroek E.; Deden L.; Heusschen L.; Okkema S.; Aufenacker T.; den Hengst W.; Vening W.; van der Burgh Y.; Ghazal A.; Ibrahim H.; Niazi M.; Alkhaffaf B.; Altarawni M.; Cesana G.C.; Anselmino M.; Uccelli M.; Olmi S.; Stier C.; Akmanlar T.; Sonnenberg T.; Schieferbein U.; Marcolini A.; Awruch D.; Vicentin M.; de Souza Bastos E.L.; Gregorio S.A.; Ahuja A.; Mittal T.; Bolckmans R.; Baratte C.; Wisnewsky J.A.; Genser L.; Chong L.; Taylor L.; Ward S.; Hi M.W.; Heneghan H.; Fearon N.; Geoghegan J.; Ng K.C.; Plamper A.; Rheinwalt K.; Kaseja K.; Kotowski M.; Samarkandy T.A.; Leyva-Alvizo A.; Corzo-Culebro L.; Wang C.; Yang W.; Dong Z.; *Riera M.; *Jain R.; Hamed H.; Said M.; Zarzar K.; Garcia M.; Turkcapar A.G.; Sen O.; Baldini E.; Conti L.; Wietzycoski C.; Lopes E.; Pintar T.; Salobir J.; Aydin C.; Atici S.D.; Ergin A.; Ciyiltepe H.; Bozkurt M.A.; Kizilkaya M.C.; Onalan N.B.D.; Zuber M.N.B.A.; Wong W.J.; Garcia A.; Vidal L.; Beisani M.; Pasquier J.; Vilallonga R.; Sharma S.; Parmar C.; Lee L.; Sufi P.; Sinan H.; Saydam M.

Citation:International Journal of Obesity; 2021 [epub ahead of print]

Abstract:Background: There is a paucity of data comparing 30-day morbidity and mortality of sleeve gastrectomy (SG), Roux-en-Y gastric bypass (RYGB), and one anastomosis gastric bypass (OAGB). This study aimed to compare the 30-day safety of SG, RYGB, and OAGB in propensity score-matched cohorts. Material(s) and Method(s): This analysis utilised data collected from the GENEVA study which was a multicentre observational cohort study of bariatric and metabolic surgery (BMS) in 185 centres across 42 countries between 01/05/2022 and 31/10/2020 during the Coronavirus Disease-2019 (COVID-19) pandemic. 30-day complications were categorised according to the Clavien-Dindo classification. Patients receiving SG, RYGB, or OAGB were propensity-matched according to baseline characteristics and 30-day complications were compared between groups. Result(s): In total, 6770 patients (SG 3983; OAGB 702; RYGB 2085) were included in this analysis. Prior to matching, RYGB was associated with highest 30-day complication rate (SG 5.8%; OAGB 7.5%; RYGB 8.0% (p = 0.006)). On multivariate regression modelling, Insulin-dependent type 2 diabetes mellitus and hypercholesterolaemia were associated with increased 30-day complications. Being a non-smoker was associated with reduced complication rates. When compared to SG as a reference category, RYGB, but not OAGB, was associated with an increased rate of 30-day complications. A total of 702 pairs of SG and OAGB were propensity score-matched. The complication rate in the SG group was 7.3% (n = 51) as compared to 7.5% (n = 53) in the OAGB group (p = 0.68). Similarly, 2085 pairs of SG and RYGB were propensity score-matched. The complication rate in the SG group was 6.1% (n = 127) as compared to 7.9% (n = 166) in the RYGB group (p = 0.09). And, 702 pairs of OAGB and RYGB were matched. The complication rate in both groups was the same at 7.5 % (n = 53; p = 0.07). Conclusion(s): This global study found no significant difference in the 30-day morbidity and mortality of SG, RYGB, and OAGB in propensity score-matched cohorts.

Link to full-text [open access - no password required]

Elevated BMI Significantly increases recurrence rate of Breast Cancer; a district general hospital experience (2019)

Type of publication:
Poster presentation

Author(s):
*Blossom Lake, *Albert Mansoor, *Donna Appleton

Citation:
British Journal Surgery; September 2019; Vol 106(S5), p.20 (Poster presentation at Association of Surgeons of Great Britain May 2019)

Abstract:
Aims: Excess body weight has been shown to be a risk factor for breast cancer recurrence. The aim of this study was to evaluate the effect of BMI on recurrence rate of Breast cancer in Shropshire.
Methods: Retrospective analysis of Somerset Database of all new breast cancers diagnosed from January 2012 to December 2012 at the Shrewsbury & Telford NHS Trust. Clinical portal and pre-op database were used to obtain patient demographics including BMI and recurrence rate. Excluded patients from analysis: no surgery performed, or operated at another hospital. Overall recurrence rate, local recurrence, distant metastasis rate and 5 year disease free survival (DFS) were compared for 3 groups: BMI< 25, overweight; 25.1-29.9,and obese; >30.
Results: 498 new breast cancers were diagnosed in 2012, of these 132 were excluded as per criteria. 366 records were analysed; 40 patients had recurrent breast cancer 10.9%. 97.5% of recurrent patients had one or more prognostic factor, size> 3cm, node positive or Grade 3, with no significant difference between BMI groups for adverse prognostic factors. Overall Recurrence rate for BMI <25 was 5.9%, this was significantly higher in BMI> 25, 13.3% p<0.05.BMI Overall Recurrence rate Local recurrence Distant Metastasis rate 5 year DFS<25 5.9% 0.8% 5.9% 94.1% Overweight 14.4% 4.2% 10.2% 85.6% Obese 12.3% 2.3% 11.5% 87.7%
Conclusion: Our experience suggests a significant increase in Breast Cancer recurrence with increasing BMI. Further studies are needed to clarify this and whether methods of reducing BMI may improve disease free survival

Link to full-text [no password required]

Obesity delays 62 day treatment pathway for breast cancer (2014)

Type of publication:
Conference abstract

Author(s):
*Lake B., *Pearson L., *Wilkins H., *Rastall S.

Citation:
European Journal of Surgical Oncology, May 2014, vol./is. 40/5(624), 0748-7983 (May 2014)

Abstract:
Introduction: There is increasing obesity in the UK, affecting 26% of women. The highest rate is in the West Midlands. (HSCIC 2013) This growing obese population will significantly impact health care. Breast cancer diagnosis and treatment have a 62 day cancer target. (CRS 2007) Accepted practice is triple assessment which is affected by elevated BMI; more difficult examination, repeated biopsy, technically difficult and time consuming imaging. This can delay diagnosis and treatment of breast cancer. Method: Somerset Cancer Database was used to identify all patients diagnosed with non-invasive or invasive Breast Cancer from 1st April 2012 – 31st March 2013 at Shrewsbury & Telford NHS Trust. Patients having hormone treatment or radiotherapy alone were excluded. Patient demographics were obtained from Pre-operative Anaesthetic Database. Biopsy rate was obtained from review. Imaging was reviewed by Breast Radiographer. SPSS was used to calculate independent T-test for statistical analysis. Results: 505 patients were diagnosed, of these 352 had surgery. Mean age 60 (30-87), mean BMI 28.6(16.5-55), with 35% of patients classified as obese. Number of days to treatment of BMI 35, 36 to 42 days was statistically significant P>0.0438 (T=2.0348, SE 2.949). Time taken for mammogram for super-obese patient BMI compared to normal BMI was significantly longer 7.5 minutes to 3.4 minutes P>0.0001 (T=11.6028, SE 0.353). Conclusion: Obesity significantly delays treatment pathway in Breast Cancer patients, and increases mammographic imaging time. These are important considerations with an increasingly obese population for health care provision planning of such patients.

Link to more details or full-text: