scholarly journals Smoking increases the risk of surgical site infection after hydrocelectomy in adults: a retrospective cohort study in Brazil

2018 ◽  
Vol 11 (12) ◽  
pp. 950-956
Author(s):  
Thiago Silva Da Costa ◽  
Paulo José De Medeiros ◽  
Mauro José Costa Salles
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Confidence Interval ◽  
Surgical Site Infection ◽  
Retrospective Cohort Study ◽  
Odds Ratio ◽  
Retrospective Cohort ◽  
Univariate Analysis ◽  
Smoking Habits ◽  
Site Infection

Introduction: Surgical site infection (SSI) following hydrocelectomy is relatively uncommon, but it is one of the main post-operative problems. We aimed to describe the prevalence of SSI following hydrocelectomy among adult patients, and to assess predisposing risk factors for infection. Methodology: This retrospective cohort study was carried out at a university hospital and included hydrocelectomies performed between January 2007 and December 2014. Diagnosis of SSI was performed according to the Center for Diseases Control (CDC) guidelines. Multivariable logistic regression analysis was used to identify independent risk factors. Results: A total of 196 patients were included in the analysis. Overall, 30 patients were diagnosed with SSI (15.3%) and of these, 63.3% (19/30) were classified as having superficial SSI, while 36.7% (11/30) had deep SSI. The main signs and symptoms of infection were the presence of surgical wound secretion (70%) and inflammatory superficial signs such as hyperemia, edema and pain (60%). Among the 53 patients presenting chronic smoking habits, 26.4% (14⁄53) developed SSI, which was associated with a higher risk for SSI (odds ratio [OR] = 2.84, 95% confidence interval [CI] = 1.27 to 6.35, p < 0.01) in the univariate analysis. In the adjusted multivariable analysis, smoking habits were also statistically associated with SSI after hydrocelectomy (odds ratio [OR] = 2.84, 95% confidence interval [CI] = 1.30 to 6.24, p = 0.01). No pre-, intra-, or post-operative variable analyzed showed an independent association to SSI following hydrocelectomy. Conclusions: Smoking was the only independent modifiable risk factor for SSI in the multivariate analysis.

scholarly journals Risk factors for surgical site infection following cesarean delivery: a retrospective cohort study

CMAJ Open ◽  
2017 ◽  
Vol 5 (3) ◽  
pp. E546-E556 ◽  
Author(s):  
Felicia Ketcheson ◽  
Christy Woolcott ◽  
Victoria Allen ◽  
Joanne M. Langley
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Surgical Site Infection ◽  
Cesarean Delivery ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Site Infection

scholarly journals Perioperative and anesthetic risk factors of surgical site infection in patients undergoing pancreaticoduodenectomy: A retrospective cohort study

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0240490
Author(s):  
Saori Yamamoto ◽  
Yusuke Nagamine ◽  
Tetsuya Miyashita ◽  
Shiono Ito ◽  
Yurika Iwasawa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Surgical Site Infection ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Site Infection ◽  
Anesthetic Risk

An Analysis of Dental Implants Survival and Success

2018 ◽  
Vol 69 (9) ◽  
pp. 2465-2466
Author(s):  
Iustin Olariu ◽  
Roxana Radu ◽  
Teodora Olariu ◽  
Andrada Christine Serafim ◽  
Ramona Amina Popovici ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Medical History ◽  
Retrospective Cohort Study ◽  
Odds Ratio ◽  
Retrospective Cohort ◽  
Demographic Data ◽  
Kaplan Meier ◽  
Number Of Patients ◽  
Health Related

Osseointegration of a dental implant may encounter a variety of problems caused by various factors, as prior health-related problems, patients� habits and the technique of the implant inserting. Retrospective cohort study of 70 patients who received implants between January 2011- April 2016 in one dental unit, with Kaplan-Meier method to calculate the probability of implants�s survival at 60 months. The analysis included demographic data, age, gender, medical history, behavior risk factors, type and location of the implant. For this cohort the implants�survival for the first 6 months was 92.86% compared to the number of patients and 97.56% compared to the number of total implants performed, with a cumulative failure rate of 2.43% after 60 months. Failures were focused exclusively on posterior mandible implants, on the percentage of 6.17%, odds ratio (OR) for these failures being 16.76 (P = 0.05) compared with other localisations of implants, exclusively in men with median age of 42 years.

scholarly journals Understanding patterns and factors associated with place of death in patients with end-stage kidney disease: A retrospective cohort study

2016 ◽  
Vol 31 (3) ◽  
pp. 283-288 ◽  
Author(s):  
Natasha Lovell ◽  
Chris Jones ◽  
Dawn Baynes ◽  
Sarah Dinning ◽  
Katie Vinen ◽  
...  
Keyword(s):  
Cohort Study ◽  
Kidney Disease ◽  
Confidence Interval ◽  
Retrospective Cohort Study ◽  
Odds Ratio ◽  
Retrospective Cohort ◽  
Place Of Death ◽  
Renal Unit ◽  
End Stage Kidney Disease ◽  
End Stage

Background: Meeting place-of-death preferences is an important measure of the quality of end-of-life care. Systematic review shows that 42% of end-stage kidney disease patients prefer home death. Little research has been undertaken on place of death. Aim: To understand patterns of place of death in patients with end-stage kidney disease known in one UK renal unit. Design: A retrospective cohort study of all patients with chronic kidney disease stage 4–5, age ⩾75 and known to one UK renal unit, who died between 2006 and 2012. Patients were categorised into three management pathways: haemodialysis, conservative and pre-dialysis. Results: A total of 321 patients (mean age, 82.7; standard deviation, 5.21) died (61.7% male). In all, 62.9% died in hospital (95% confidence interval, 57.5%–68.1%), 21.8% died in their usual place of residence (95% confidence interval, 17.5%–26.6%) and 15.3% died in an inpatient palliative care unit (95% confidence interval, 11.6%–19.5%). Management pathway and living circumstances were most strongly associated with place of death. Patients on the conservative pathway had four times the odds of dying out of hospital (odds ratio, 4.0; 95% confidence interval, 2.1–7.5; p < 0.01). Patients living alone were less likely to die out of hospital (odds ratio, 0.3; 95% confidence interval, 0.1–0.6; p < 0.01). There were also changes in place of death over time, with more patients dying out of hospital in 2012 compared to 2006 (odds ratio, 3.1; 95% confidence interval, 1.0–9.7; p < 0.05). Conclusion: Most patients with end-stage kidney disease die in hospital, but patients managed without dialysis are significantly more likely to die outside of hospital. Planning ahead is key to be able to meet preference for place of death.

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