scholarly journals Evaluation and management of the patient with a failed midurethral synthetic sling

2012 ◽  
Vol 6 (5-S2) ◽  
pp. 123
Author(s):  
E. Ann Gormley
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Midurethral Sling ◽  
Patient Characteristics ◽  
Evidence Based ◽  
Careful Evaluation ◽  
Mixed Incontinence ◽  
Surgical Failure ◽  
Sphincter Deficiency

While most women will do well following placement of a midurethral sling (MUS), a substantial minority do experience surgical failure. There are several risk factors that can help identify a patient at higher risk for failure, including body mass index greater than 25 kg/m2, mixed incontinence, previous continence surgery, intrinsic sphincter deficiency, and diabetes. At the present time, there is no evidence-based guidance for which intervention to use following failure. Careful evaluation of patient characteristics will help guide subsequent management.

Risk factors for adult acquired subglottic stenosis

2016 ◽  
Vol 131 (3) ◽  
pp. 264-267 ◽  
Author(s):  
E A Nicolli ◽  
R M Carey ◽  
D Farquhar ◽  
S Haft ◽  
K P Alfonso ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Economic Status ◽  
Significant Risk ◽  
Patient Characteristics ◽  
Subglottic Stenosis ◽  
Patient Demographics ◽  
Obesity And Diabetes

AbstractObjective:The aetiology and outcomes for patients with acquired subglottic stenosis are highly variable. This study aimed to identify risk factors for subglottic stenosis and patient characteristics that predict long-term clinical outcomes.Methods:A retrospective review was performed on 63 patients with subglottic stenosis and 63 age-matched controls. Patient demographics and clinical characteristics were compared. Subglottic stenosis patients were further grouped according to tracheostomy status (i.e. tracheostomy never required, tracheostomy initially required but patient eventually decannulated, and tracheostomy-dependent). Patient factors from these three groups were then compared to evaluate risk factors for long-term tracheostomy dependence.Results:Compared to controls, patients with subglottic stenosis had a significantly higher body mass index (30.8vs26.0 kg/m2;p< 0.001) and were more likely to have diabetes (23.8 per centvs7.94 per cent;p= 0.01). Comparing tracheostomy outcomes within the subglottic stenosis group, body mass index trended towards significance (p= 0.08). Age, gender, socio-economic status, subglottic stenosis aetiology and other co-morbidities did not correlate with outcome.Conclusion:Obesity and diabetes are significant risk factors for acquiring subglottic stenosis. Further investigations are required to determine if obesity is also a predictor for failed tracheostomy decannulation in subglottic stenosis.

The Relation of Body Mass Index to Biochemical Parameters and Profile of Heart Failure

2018 ◽  
Vol 69 (7) ◽  
pp. 1673-1677
Author(s):  
Viviana Aursulesei ◽  
Andrei Manta ◽  
Razan Al Namat ◽  
Monica Hugianu ◽  
Angela Maria Moloce ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Body Mass Index ◽  
Body Mass ◽  
Patient Selection ◽  
Biochemical Parameters ◽  
Obesity Paradox ◽  
Lipid Levels ◽  
Randomized Control ◽  
Selection Parameters

The bidirectional relation between body mass index (BMI) and heart failure (HF) is complex and not fully understood. The obesity paradox phenomena is controversial and related to patient selection, parameters used for defining abnormal weight, characteristics of HF. Our study sustain the importance of controlling risk factors, in particular plasma glucose, lipid levels, as well as hypertension in patients with HF and BMI over 25 kg/m2. Also, in contrast to the randomized control studies our results can only partially support data related to obesity paradox phenomena.

scholarly journals Cardio-Metabolic Risk Factors in Scottish South Asian and Caucasian Youth

2021 ◽  
Vol 18 (9) ◽  
pp. 4667
Author(s):  
Meizi Wang ◽  
Jianhua Ying ◽  
Ukadike Chris Ugbolue ◽  
Duncan S. Buchan ◽  
Yaodong Gu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
South Asian ◽  
Metabolic Risk Factors ◽  
Individual Risk ◽  
Metabolic Risk ◽  
Asian Adolescents ◽  
Individual Risk Factors

(1) Background: Scotland has one of the highest rates of obesity in the Western World, it is well established that poor weight profiles, and particularly abdominal obesity, is strongly associated with Type II diabetes and cardiovascular diseases. Whether these associations are apparent in ethnic population groups in Scotland is unclear. The purpose of this study was to examine the associations between different measures of fatness with clustered cardio metabolic risk factors between Scottish South Asian adolescents and Scottish Caucasian adolescents; (2) Methods: A sample of 208 Caucasian adolescents and 52 South Asian adolescents participated in this study. Stature, waist circumference, body mass index, blood pressure, physical activity, and cardiovascular disease (CVD) risk were measured; (3) Results: Significant, partial correlations in the South Asian cohort between body mass index (BMI) and individual risk factors were generally moderate. However, correlations between Waist circumference (WC) and individual risk factors were significant and strong. In the Caucasian cohort, a significant yet weak correlation between WC and total cholesterol (TG) was noted although no other associations were evident for either WC or BMI. Multiple regression analysis revealed that both BMI and WC were positively associated with CCR (p < 0.01) in the South Asian group and with the additional adjustment of either WC or BMI, the independent associations with clustered cardio-metabolic risk (CCR) remained significant (p < 0.005); (4) Conclusions: No positive relationships were found between BMI, WC, and CCR in the Caucasian group. Strong and significant associations between measures of fatness and metabolic risk were evident in Scottish South Asian adolescents.

Short-Term Outcomes Following Removal of Infected Hernia Mesh

2021 ◽  
pp. 000313482110241
Author(s):  
Christine Tung ◽  
Junko Ozao-Choy ◽  
Dennis Y. Kim ◽  
Christian de Virgilio ◽  
Ashkan Moazzez
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Body Mass ◽  
Smoking History ◽  
Multivariate Logistic Regression ◽  
Short Term ◽  
Mesh Removal ◽  
Mesh Placement ◽  
Infected Mesh

There are limited studies regarding outcomes of replacing an infected mesh with another mesh. We reviewed short-term outcomes following infected mesh removal and whether placement of new mesh is associated with worse outcomes. Patients who underwent hernia repair with infected mesh removal were identified from 2005 to 2018 American College of Surgeons-National Surgical Quality Improvement Program database. They were divided into new mesh (Mesh+) or no mesh (Mesh-) groups. Bivariate and multivariate logistic regression analyses were used to compare morbidity between the two groups and to identify associated risk factors. Of 1660 patients, 49.3% received new mesh, with higher morbidity in the Mesh+ (35.9% vs. 30.3%; P = .016), but without higher rates of surgical site infection (SSI) (21.3% vs. 19.7%; P = .465). Mesh+ had higher rates of acute kidney injury (1.3% vs. .4%; P = .028), UTI (3.1% vs. 1.3%, P = .014), ventilator dependence (4.9% vs. 2.4%; P = .006), and longer LOS (8.6 vs. 7 days, P < .001). Multivariate logistic regression showed new mesh placement (OR: 1.41; 95% CI: 1.07-1.85; P = .014), body mass index (OR: 1.02; 95% CI: 1.00-1.03; P = .022), and smoking (OR: 1.43; 95% CI: 1.05-1.95; P = .025) as risk factors independently associated with increased morbidity. New mesh placement at time of infected mesh removal is associated with increased morbidity but not with SSI. Body mass index and smoking history continue to contribute to postoperative morbidity during subsequent operations for complications.

scholarly journals Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes

2021 ◽  
Vol 12 ◽  
pp. 215013272110185
Author(s):  
Sanjeev Nanda ◽  
Audry S. Chacin Suarez ◽  
Loren Toussaint ◽  
Ann Vincent ◽  
Karen M. Fischer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Hospital Admission ◽  
Body Mass ◽  
Risk Score ◽  
The Body ◽  
Risk Scores ◽  
Nasopharyngeal Swab ◽  
Morbidity Score ◽  
The Impact

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.

Major post-prostate biopsy complications under antibiotic augmentation prophylaxis protocol

2021 ◽  
pp. 205141582098403
Author(s):  
Antônio Antunes Rodrigues ◽  
Valdair Muglia ◽  
Emanuel Veras de Albuquerque ◽  
Rafael Ribeiro Mori ◽  
Rafael Neuppmann Feres ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Antibiotic Prophylaxis ◽  
Body Mass ◽  
Bacterial Resistance ◽  
Univariate Analysis ◽  
Specific Antigen ◽  
Outlet Obstruction ◽  
Psa Density ◽  
Biopsy Complications

Objective: To identify risk factors for major post-biopsy complications under augmented prophylaxis protocol. The risk factors already described mainly comprise outdated antibiotic prophylaxis protocols. Material and methods: This retrospective cohort study included patients that underwent transrectal ultrasound-guided biopsies, from 2011 to 2016. All patients had received antibiotic prophylaxis with ciprofloxacin and gentamicin. Patients were grouped according to the presence or absence of post-biopsy complications. Demographic variables and possible risk factors based on routine clinical assessment were registered. Correlation tests, univariate and multivariate analyses were used to identify risk factors for post-biopsy complications. Results: Of the 404 patients that were included, 25 (6.2%) presented 27 post-biopsy complications, distributed as follows: acute urinary retention ( n = 14, 3.5%), infections ( n = 11, 2.7%) and hemorrhage ( n = 2, 0.5%). On univariate analysis, patients who presented complications showed higher body mass index and post-voiding residual volumes. Multivariate analysis identified ethnicity and prostate-specific antigen (PSA) density as possible risk factors for biopsy complications. The presence of bacterial resistance identified by rectal swabs did not correlate with the incidence of complications and infections. Conclusions: Non-infectious post-biopsy complications were more frequent than infectious ones in this cohort. Higher post-voiding residual volumes and PSA density, that indicates prostate enlargement, were identified as risk factors and interpreted as secondary to bladder outlet obstruction. The higher body mass index and ethnicity were also identified as risk factors and attributed to the heterogeneity of the patients included. Level of evidence: Not applicable for this multicentre audit.

scholarly journals Clinical Study of Postoperative Bleeding after Tonsillectomy in 497 Cases

2021 ◽  
Vol 4 (01) ◽  
pp. e17-e20
Author(s):  
Takeshi Tanaka ◽  
Kenji Ishii ◽  
Kyoko Matsumoto ◽  
Koushirou Miura ◽  
Ayako Kihara ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Clinical Study ◽  
General Anesthesia ◽  
Retrospective Analysis ◽  
Body Mass ◽  
Smoking Habit ◽  
Postoperative Bleeding ◽  
Operation Time ◽  
History Of

AbstractWe conducted a retrospective analysis of 497 patients who underwent tonsillectomy at Kamio Memorial Hospital from September 2015 to August 2018. A total of 35 cases (7.0%) developed postoperative bleeding and three cases (0.6%) needed a second operation under general anesthesia to stop the bleeding. Postoperative bleeding most frequently occurred between 24 hours and 6 days after the operation. The incidence of postoperative bleeding was significantly higher in males and in patients aged 20 to 39 years old. The operation time, body mass index, smoking habit, and history of hypertension were not identified as clinical risk factors for bleeding after tonsillectomy in this study.

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