Surgical Site Infection in a Tertiary Neonatal Surgery Centre

Introduction Surgical site infection (SSI) is a key performance indicator to assess the quality of surgical care. Incidence and risk factors for SSI in neonatal surgery are lacking in the literature. Aim To define the incidence of SSI and possible risk factors in a tertiary neonatal surgery centre. Materials and Methods This is a prospective cohort study of all the neonates who underwent abdominal and thoracic surgery between March 2012 and October 2016. The variables analyzed were gender, gestational age, birth weight, age at surgery, preoperative stay in neonatal intensive care unit, type of surgery, length of stay, and microorganisms isolated from the wounds. Statistical analysis was done with chi-square, Student's t- or Mann–Whitney U-tests. A logistic regression model was used to evaluate determinants of risk for SSI; variables were analyzed both with univariate and multivariate models. For the length of hospital stay, a logistic regression model was performed with independent variables. Results A total of 244 neonates underwent 319 surgical procedures. The overall incidence of SSIs was 43/319 (13.5%). The only statistical differences between neonates with and without SSI were preoperative stay (<4 days vs. ≥4 days, p < 0.01) and length of hospital stay (<30 days vs. ≥30 days, p < 0.01). A pre-operative stay longer than 4 days was associated with almost three times increased risk of SSI (odds ratio [OR] 2.96, 95% confidence interval [CI] 1.05–8.34, p = 0.0407). Gastrointestinal procedures were associated with more than ten times the risk of SSI compared with other procedures (OR 10.17, 95% CI 3.82–27.10, p < 0.0001). Gastroschisis closure and necrotizing enterocolitis (NEC) laparotomies had the highest incidence SSI (54% and 62%, respectively). The risk of longer length of hospital stay after SSI was more than three times higher (OR = 3.36, 95%CI 1.63–6.94, p = 0.001). Conclusion This is the first article benchmarking the incidence of SSI in neonatal surgery in the United Kingdom. A preoperative stay ≥4 days and gastrointestinal procedures were independent risk factors for SSI. More research is needed to develop strategies to reduce SSI in selected neonatal procedures.

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Etiology, Incidence, and Risk Factors for Meningitis after Ventriculoperitoneal Shunt Procedures: A Multicenter Study

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.765 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s221-s222

Author(s):

Danilo Silva ◽

Henrique Couto ◽

Hoberdan Pereira ◽

Gregory Lauar Souza ◽

Andressa Silveira ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Hospital Admission ◽

Regression Model ◽

Hospital Stay ◽

Ventriculoperitoneal Shunt ◽

Logistic Regression Model ◽

Hospital Death ◽

Communicating Hydrocephalus ◽

Increased Risk

Background: The ventriculoperitoneal shunt is the main procedure used for to treat communicating hydrocephalus. Surgical site infection associated with the shunt device is the most common complication and a cause of morbidity and mortality of related to the treatment. We sought to answer 3 questions: (1) What is the risk of meningitis after ventricular shunt operations? (2) What are the risk factors for meningitis? (3) What are the main microorganisms causing meningitis? Methods: We conducted a retrospective cohort study of patients undergoing ventricular shunt operations between July 2015 and June 2018 from 12 hospitals at Belo Horizonte, Brazil. Data were gathered by standardized methods defined by the CDC NHSN. Our sample size was 926, and we evaluated 26 preoperative and operative variables by univariate and multivariate analysis. Our outcome variables of interest were meningitis and hospital death. Results: In total, 71 cases of meningitis were diagnosed (risk, 7.7%; 95% CI, 6.1%–9.6%). The mortality rate among patients without infection was 10%, whereas hospital mortality of infected patients was 13% (P = .544). The 3 main risk factors for meningitis after ventricular shunt were identified by logistic regression model: age <2 years (OR, 3.20; P < .001), preoperative hospital stay >4 days (OR, 2.02; P = .007) and >1 surgical procedure, in addition to ventricular shunt (OR, 3.23; P = .043). Almost 1 of 3 of all patients was <2 years old (290, 31%). Also, 430 patients had >4 preoperative days (46%). Patients aged ≥2 years who underwent surgery 4 days after hospital admission had an increased risk of meningitis, from 4% to 6% (P = .140). If a patient <2 years old underwent surgery 4 or more days after hospital admission, the risk of meningitis increased from 9% to 18% (P = .026; Fig. 1). We built a risk index using the number of main risk factors based on a logistic regression model (0, 1, 2 or 3; Fig. 2). Conclusions:We identified 2 intrinsic risk factors for meningitis after ventricular shunt, age <2 years and multiple surgical procedures, and 1 extrinsic risk factor, the preoperative length of hospital stay.Funding: NoneDisclosures: None

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Prevalence of, and risk factors for, cognitive impairment in lacunar stroke

International Journal of Stroke ◽

10.1177/17474930211064965 ◽

2022 ◽

pp. 174749302110649

Author(s):

Laura Ohlmeier ◽

Stefania Nannoni ◽

Claudia Pallucca ◽

Robin B Brown ◽

Laurence Loubiere ◽

...

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Logistic Regression ◽

Cognitive Impairment ◽

Regression Model ◽

Logistic Regression Model ◽

Full Time ◽

Lacunar Stroke ◽

Stroke Patients ◽

Increased Risk

Background: Small vessel disease (SVD) is associated with vascular cognitive impairment (VCI) but why VCI occurs in some, but not other patients, is uncertain. We determined the prevalence of, and risk factors for, VCI in a large cohort of patients with lacunar stroke. Methods: Participants with magnetic resonance imaging (MRI)-confirmed lacunar stroke were recruited in the multicenter DNA Lacunar 2 study and compared with healthy controls. A logistic regression model was used to determine which vascular risk factors and MRI parameters were independent predictors of VCI, assessed using the Brief Memory and Executive Test (BMET). Results: A total of 912 lacunar stroke patients and 425 controls were included, with mean ( SD) age of 64.6 (12.26) and 64.7 (12.29) years, respectively. VCI was detected in 38.8% lacunar patients and 13.4% controls. In a logistic regression model, diabetes mellitus (odds ratio (OR) = 1.98 (95% confidence interval (CI) = 1.40–2.80), p < 0.001) and higher body mass index (BMI) (OR = 1.03 (95% CI = 1.00–1.05), p = 0.029) were independently associated with increased risk of VCI, and years of full-time education with lower risk (OR = 0.92 (95% CI = 0.86–0.99), p = 0.018). When entering both lacune count and white matter hyperintensity (WMH) in the same logistic regression model, only WMH grade was significantly associated with VCI (OR = 1.46 (95% CI = 1.24–1.72), p < 0.001). Conclusion: VCI is common in lacunar stroke patients, affecting almost 40%. This prevalence suggests that it should be routinely screened for in clinical practice. Risk factors for VCI in patients with lacunar stroke include diabetes mellitus, depressive symptoms, higher BMI, and WMH severity, while education is protective.

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904. Surgical Site Infection After Bariatric Surgery: a Small Risk that Defines Life and Death of Patients

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.1092 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S486-S486

Author(s):

Lucca G Giarola ◽

Carlos Ernesto Ferreira Starling ◽

Braulio Roberto Gonçalves Marinho Couto ◽

Handerson Dias Duarte de Carvalho

Keyword(s):

Bariatric Surgery ◽

Logistic Regression ◽

Surgical Site Infection ◽

Hospital Stay ◽

Length Of Hospital Stay ◽

Hospital Length ◽

Hospital Length Of Stay ◽

Hospital Death ◽

Site Infection ◽

Belo Horizonte

Abstract Background Surgical site infection (SSI) in bariatric surgery can lead to devastating outcomes such as peritonitis, sepsis, septic shock and organ space infection. The objective of our study is to answer four questions: a) What is the SSI risk after bariatric surgery? b) What are the risk factors for SSI after bariatric surgery? c) What are the main outcomes to SSI in bariatric surgery? d) What are the main bacteria responsible for SSI in bariatric surgery? Methods A retrospective cohort study assessed 8,672 patients undergoing bariatric surgery between 2014/Jan and 2018/Dec from two hospitals at Belo Horizonte, Brazil. Data were gathered by standardized methods defined by the National Healthcare Safety Network (NHSN)/CDC procedure-associated protocols for routine SSI surveillance. Outcome: SSI, hospital death and total length of hospital stay. 20 preoperative and operative variables were evaluated by univariate and multivariate analysis (logistic regression). Results 77 SSI were diagnosed (risk = 0.9% [C.I.95% = 0.7%;1.1%]). Mortality rate in patients, without infection was only 0.03% (3/8,589) while hospital death of infected patients was 4% (3/77; RR = 112; p< 0.001). Hospital length of stay in non-infected patients (days): mean = 2, std.dev.= 0.9; hospital stay in infected patients: mean = 7, std. dev. = 15.6 (p< 0.001). Two main factors associated with SSI after bariatric surgery were identified by logistic regression: duration of procedure (hours), OR = 1.4;p=0.001, and laparoscopy procedure, OR = 0.3;p=0.020. From 77 SSIs, in 28 (36%) we identified 34 etiologic agents. The majority of SSI (59%) was caused by species of Streptococcus (32%), Klebsiella (15%), and Enterobacter (12%). Conclusion SSI is rare after bariatric surgery, however, when it happens, it’s a disaster for the patient. The incidence of SSI can be reduced significantly when laparoscopy procedure is used and the surgeon is able to perform a rapid surgery. Disclosures All Authors: No reported disclosures

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Risk Stratification for Organ/Space Surgical Site Infection in Advanced Digestive System Cancer

Frontiers in Oncology ◽

10.3389/fonc.2021.705335 ◽

2021 ◽

Vol 11 ◽

Author(s):

Chen Sun ◽

Hui Gao ◽

Yuelun Zhang ◽

Lijian Pei ◽

Yuguang Huang

Keyword(s):

Risk Factors ◽

Clinical Trial ◽

Logistic Regression ◽

Risk Stratification ◽

Surgical Site Infection ◽

Digestive System ◽

Logistic Regression Model ◽

Site Infection ◽

Multivariable Logistic Regression Model ◽

Digestive System Cancer

BackgroundOrgan/space surgical site infection (organ/space SSI) is a serious postoperative complication, closely related to a poor prognosis. Few studies have attempted to stratify the risk of organ/space SSI for patients with advanced digestive system cancer. This study aimed to identify a simple risk stratification for these patients based on perioperative factors.MethodsThe study was based on two randomized controlled trials (RCT) (NCT02715076, ChiCTR-IPR-17011099), including 839 patients undergoing elective radical resection of advanced digestive system cancer. The primary outcome was organ/space SSI within 30 days after surgery. Multivariable logistic regression model was used to identify risk factors. The risk of organ/space SSI stratified over those risk factors was compared using chi-square tests and the relative risk (RR) was estimated.ResultsAmong the 839 patients, 51 developed organ/space SSI (6.1%) within 30 days after surgery. According to the multivariable logistic regression model, 3 procedure types, including gastrectomy (OR=8.22, 95% CI: 2.71-24.87, P<0.001), colorectal resection (OR=8.65, 95% CI: 3.13-23.85, P<0.001) and pancreatoduodenectomy (OR=7.72, 95% CI: 2.95-20.21, P<0.001), as well as anaesthesia time > 4 h (OR=2.38, 95% CI: 1.08-5.27, P=0.032) and prolonged ICU stay (OR=4.10, 95% CI: 1.67-10.10, P=0.002), were risk factors for postoperative organ/space SSI. The number of risk factors was significantly associated with an increased risk of organ/space SSI (P<0.001), which was 2.8% in patients with 0-1 risk factor (RR=0.20, 95% CI: 0.11-0.35), 13.0% in patients with 2 risk factors (RR=3.64, 95% CI: 2.14-6.20) and 35.7% in patients with 3 risk factors (RR=6.41, 95% CI: 3.01-13.65).ConclusionThis study is a preliminary exploratory and provides a simple risk stratification to identify the risk of postoperative organ/space SSI for patients with advanced digestive system cancer. Further research is needed to validate and generalize the results in a wider population.Clinical Trial RegistrationClinicalTrials.gov, identifier NCT02715076; Chinese Clinical Trial Registry [https://www.chictr.org.cn/enindex.aspx], identifier ChiCTR-IPR-17011099.

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Feasibility of Predicting the Risk of Atrial Fibrillation after Coronary Artery Bypass Surgery with Logistic Regression Model

Scandinavian Journal of Surgery ◽

10.1177/145749690209100406 ◽

2002 ◽

Vol 91 (4) ◽

pp. 339-344 ◽

Cited By ~ 30

Author(s):

T. Hakala ◽

O. Pitkänen ◽

M. Hippeläinen

Keyword(s):

Risk Factors ◽

Atrial Fibrillation ◽

Logistic Regression ◽

Coronary Artery ◽

Regression Model ◽

Hospital Stay ◽

Predictive Model ◽

Logistic Regression Model ◽

Artery Bypass ◽

Gastrointestinal Complications

Background and Aims: The aim of this study was to determine the risk factors of postoperative atrial fibrillation (AF) after coronary artery bypass grafting and to create predictive model and to evaluate the effects of AF on patients outcome. Material and Methods: Data of 3,676 consecutive patients were analysed to identify the predictors of AF. Multivariate logistic regression model was validated prospectively in 1,107 patients. Results: Increasing age (p < 0.001), preoperative use of digoxin (p = 003), need of intra-aortic balloon pump or inotropic medication in the weaning off cardiopulmonary by pass or during the first 24 hours postoperatively (p = 0.013), increasing body surface area (p = 0.006) and lower ejection fraction (p = 0.048) were independent risk factors for postoperative AF. The predictive model gave area under the receiver-operating characteristic (ROC) curve 0.682, 95 % confidence interval 0.663–0.701, and p < 0.001. The patients with AF incidence had more postoperative stroke (p = 0.008), confusion (p < 0.001) severe gastrointestinal complications (p = 0.005), readmission to ICU (p < 0.001), longer ICU (p < 0.001) and hospital stay (p < 0.001) when compared with the patients who remained in sinus rhythm. Conclusion: Logistic regression model with the parameters used was not accurate enough for clinical purposes. Postoperative AF is associated with postoperative stroke, severe gastrointestinal complications, readmission to ICU, and longer ICU and hospital stay.

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Predictors and Risk Factors of Surgical Site Infection (SSI) Following Adult Spine Surgery: A Cross-sectional Study

Journal of Spine Practice (JSP) ◽

10.18502/jsp.v1i1.9766 ◽

2021 ◽

pp. 6

Author(s):

Waleed Awwad ◽

Abdullah Alnasser ◽

Abdulrahman Almalki ◽

Rohail Mumtaz ◽

Bander Alsubaie ◽

...

Keyword(s):

Risk Factors ◽

Surgical Site Infection ◽

Hospital Stay ◽

Spine Surgery ◽

Length Of Hospital Stay ◽

Cross Sectional Study ◽

Site Infection ◽

Sectional Study ◽

Cross Sectional ◽

Duration Of Surgery

Introduction: Surgical site infection (SSI) is a major cause of morbidity and mortality as it is known to increase the length of hospital stay, revision surgery, and re-operation. Identifying patients at risk of developing SSI before surgery is the key to prevent SSI. Methodology: This cross-sectional study was performed at the orthopedic department in King Khalid University Hospital, Riyadh, Saudi Arabia. SSIs were defined according to the Centers for Disease Control (CDC) case definition for SSI. Potential risk factors for postoperative wound infection were collected. Data were analyzed using the SPSS, version 23.0, and p-value < 0.05 was considered to be statistically significant. Result: A total of 214 patients were included in the study and the incidence of SSI following spine surgery was 9.81% (N = 21). Obesity, diabetes, location of surgery, ASA score, duration of surgery, length of hospital stay, and location/level of operated vertebrae were all found to have a significant correlation with the SSI (p < 0.05). Conclusion: Having a strong background of SSI risk factors and predictors is core to preventing the incidence of SSI and further enhance and optimize operative outcomes, as well as increasing the cost-effectiveness of the surgical intervention.

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A comprehensive, contemporary assessment of the association between hepatosteatosis and coronary artery calcium scoring

European Heart Journal - Cardiovascular Imaging ◽

10.1093/ehjci/jeaa356.234 ◽

2021 ◽

Vol 22 (Supplement_1) ◽

Author(s):

T Heseltine ◽

SW Murray ◽

RL Jones ◽

M Fisher ◽

B Ruzsics

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Coronary Artery ◽

Regression Model ◽

Coronary Artery Calcium ◽

Logistic Regression Model ◽

Prediction Models ◽

Multinomial Logistic Regression ◽

Cvd Risk ◽

Male Sex

Abstract Funding Acknowledgements Type of funding sources: None. onbehalf Liverpool Multiparametric Imaging Collaboration Background Coronary artery calcium (CAC) score is a well-established technique for stratifying an individual’s cardiovascular disease (CVD) risk. Several well-established registries have incorporated CAC scoring into CVD risk prediction models to enhance accuracy. Hepatosteatosis (HS) has been shown to be an independent predictor of CVD events and can be measured on non-contrast computed tomography (CT). We sought to undertake a contemporary, comprehensive assessment of the influence of HS on CAC score alongside traditional CVD risk factors. In patients with HS it may be beneficial to offer routine CAC screening to evaluate CVD risk to enhance opportunities for earlier primary prevention strategies. Methods We performed a retrospective, observational analysis at a high-volume cardiac CT centre analysing consecutive CT coronary angiography (CTCA) studies. All patients referred for investigation of chest pain over a 28-month period (June 2014 to November 2016) were included. Patients with established CVD were excluded. The cardiac findings were reported by a cardiologist and retrospectively analysed by two independent radiologists for the presence of HS. Those with CAC of zero and those with CAC greater than zero were compared for demographic and cardiac risks. A multivariate analysis comparing the risk factors was performed to adjust for the presence of established risk factors. A binomial logistic regression model was developed to assess the association between the presence of HS and increasing strata of CAC. Results In total there were 1499 patients referred for CTCA without prior evidence of CVD. The assessment of HS was completed in 1195 (79.7%) and CAC score was performed in 1103 (92.3%). There were 466 with CVD and 637 without CVD. The prevalence of HS was significantly higher in those with CVD versus those without CVD on CTCA (51.3% versus 39.9%, p = 0.007). Male sex (50.7% versus 36.1% p= <0.001), age (59.4 ± 13.7 versus 48.1 ± 13.6, p= <0.001) and diabetes (12.4% versus 6.9%, p = 0.04) were also significantly higher in the CAC group compared to the CAC score of zero. HS was associated with increasing strata of CAC score compared with CAC of zero (CAC score 1-100 OR1.47, p = 0.01, CAC score 101-400 OR:1.68, p = 0.02, CAC score >400 OR 1.42, p = 0.14). This association became non-significant in the highest strata of CAC score. Conclusion We found a significant association between the increasing age, male sex, diabetes and HS with the presence of CAC. HS was also associated with a more severe phenotype of CVD based on the multinomial logistic regression model. Although the association reduced for the highest strata of CAC (CAC score >400) this likely reflects the overall low numbers of patients within this group and is likely a type II error. Based on these findings it may be appropriate to offer routine CVD risk stratification techniques in all those diagnosed with HS.

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Risk factors on admission associated with hospital length of stay in patients with COVID-19: a retrospective cohort study

Scientific Reports ◽

10.1038/s41598-021-86853-4 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Anping Guo ◽

Jin Lu ◽

Haizhu Tan ◽

Zejian Kuang ◽

Ying Luo ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Liver Disease ◽

Length Of Stay ◽

Regression Model ◽

Logistic Regression Model ◽

Hospital Length ◽

Clinical Treatment ◽

Hospital Length Of Stay ◽

Female Sex

AbstractTreating patients with COVID-19 is expensive, thus it is essential to identify factors on admission associated with hospital length of stay (LOS) and provide a risk assessment for clinical treatment. To address this, we conduct a retrospective study, which involved patients with laboratory-confirmed COVID-19 infection in Hefei, China and being discharged between January 20 2020 and March 16 2020. Demographic information, clinical treatment, and laboratory data for the participants were extracted from medical records. A prolonged LOS was defined as equal to or greater than the median length of hospitable stay. The median LOS for the 75 patients was 17 days (IQR 13–22). We used univariable and multivariable logistic regressions to explore the risk factors associated with a prolonged hospital LOS. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated. The median age of the 75 patients was 47 years. Approximately 75% of the patients had mild or general disease. The univariate logistic regression model showed that female sex and having a fever on admission were significantly associated with longer duration of hospitalization. The multivariate logistic regression model enhances these associations. Odds of a prolonged LOS were associated with male sex (aOR 0.19, 95% CI 0.05–0.63, p = 0.01), having fever on admission (aOR 8.27, 95% CI 1.47–72.16, p = 0.028) and pre-existing chronic kidney or liver disease (aOR 13.73 95% CI 1.95–145.4, p = 0.015) as well as each 1-unit increase in creatinine level (aOR 0.94, 95% CI 0.9–0.98, p = 0.007). We also found that a prolonged LOS was associated with increased creatinine levels in patients with chronic kidney or liver disease (p < 0.001). In conclusion, female sex, fever, chronic kidney or liver disease before admission and increasing creatinine levels were associated with prolonged LOS in patients with COVID-19.

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Screening Risk Factors and Interaction Analysis of Hypertension in Overweight and Obesity Population based on Three Statistical Models

10.21203/rs.3.rs-390569/v1 ◽

2021 ◽

Author(s):

Li Lu Wei ◽

Yu jian

Keyword(s):

Neural Network ◽

Risk Factors ◽

Logistic Regression ◽

Regression Model ◽

Bp Neural Network ◽

Logistic Regression Model ◽

Classification Tree ◽

Overweight And Obesity ◽

Tree Model ◽

Classification Tree Model

Abstract Background Hypertension is a common chronic disease in the world, and it is also a common basic disease of cardiovascular and brain complications. Overweight and obesity are the high risk factors of hypertension. In this study, three statistical methods, classification tree model, logistic regression model and BP neural network, were used to screen the risk factors of hypertension in overweight and obese population, and the interaction of risk factors was conducted Analysis, for the early detection of hypertension, early diagnosis and treatment, reduce the risk of hypertension complications, have a certain clinical significance.Methods The classification tree model, logistic regression model and BP neural network model were used to screen the risk factors of hypertension in overweight and obese people.The specificity, sensitivity and accuracy of the three models were evaluated by receiver operating characteristic curve (ROC). Finally, the classification tree CRT model was used to screen the related risk factors of overweight and obesity hypertension, and the non conditional logistic regression multiplication model was used to quantitatively analyze the interaction.Results The Youden index of ROC curve of classification tree model, logistic regression model and BP neural network model were 39.20%,37.02% ,34.85%, the sensitivity was 61.63%, 76.59%, 82.85%, the specificity was 77.58%, 60.44%, 52.00%, and the area under curve (AUC) was 0.721, 0.734,0.733, respectively. There was no significant difference in AUC between the three models (P>0.05). Classification tree CRT model and logistic regression multiplication model suggested that the interaction between NAFLD and FPG was closely related to the prevalence of overweight and obese hypertension.Conclusion NAFLD,FPG,age,TG,UA, LDL-C were the risk factors of hypertension in overweight and obese people. The interaction between NAFLD and FPG increased the risk of hypertension.

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EP.TH.959Meta-analysis of temporary loop ileostomy closure during or after adjuvant chemotherapy following rectal cancer surgery: An ongoing dilemma

British Journal of Surgery ◽

10.1093/bjs/znab309.098 ◽

2021 ◽

Vol 108 (Supplement_7) ◽

Author(s):

Shahin Hajibandeh ◽

Shahab Hajibandeh ◽

Pratik Bhattacharya ◽

Reza Zakaria ◽

Christopher Thompson ◽

...

Keyword(s):

Rectal Cancer ◽

Adjuvant Chemotherapy ◽

Surgical Site Infection ◽

Hospital Stay ◽

Perioperative Complications ◽

Loop Ileostomy ◽

Length Of Hospital Stay ◽

Ileostomy Closure ◽

Site Infection ◽

Cancer Resection

Abstract Aims To evaluate comparative outcomes of temporary loop ileostomy closure during or after adjuvant chemotherapy following rectal cancer resection. Methods We systematic searched MEDLINE; EMBASE; CINAHL; CENTRAL; the World Health Organization International Clinical Trials Registry; ClinicalTrials.gov; ISRCTN Register, and bibliographic reference lists. Overall perioperative complications, anastomotic leak, surgical site infection, ileus and length of hospital stay were the evaluated outcome parameters. Combined overall effect sizes were calculated using fixed-effect or random-effects models. Results We identified 4 studies reporting a total of 436 patients comparing outcomes of temporary loop ileostomy closure during (n = 185) or after (n = 251) adjuvant chemotherapy following colorectal cancer resection. There was no significant difference in overall perioperative complications (OR 1.39; 95% CI 0.82-2.36, p = 0.22), anastomotic leak (OR 2.80; 95% CI 0.47-16.56, p = 0.26), surgical site infection (OR 1.97; 95% CI 0.80-4.90, p = 0.14), ileus (OR 1.22; 95% CI 0.50-2.96, p = 0.66) or length of hospital stay (MD 0.02; 95% CI -0.85-0.89, p = 0.97) between two groups. Between-study heterogeneity was low in all analyses. Conclusions The meta-analysis of best, albeit limited, available evidence suggests that temporary loop ileostomy closure during adjuvant chemotherapy following rectal cancer resection may be associated with comparable outcomes to closure of ileostomy after adjuvant chemotherapy. We encourage future research to concentrate on completeness of chemotherapy and quality of life which can determine appropriateness of either approach.

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