Regression analysis of the risk factors for postoperative nosocomial infection in patients with abdominal tumors: experience from a large cancer centre in China

Sun, Zhipeng; Zhu, Yubing; Xu, Guangzhong; Aminbuhe,; Zhang, Nengwei

doi:10.5582/ddt.2015.01172

Cited by 5 publications

(7 citation statements)

References 20 publications

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“…Epidemiological data supported that HAIs are associated with multiple risk factors and can be prevented [9]. Although patients with cancer are susceptible to infections[10], studies exploring the in uencing factors of HAIs in this high-risk population are limited worldwide [11,12]. Therefore, it is important to identify speci c risk factors in the more susceptible population, which helps to develop targeted preventive measures.…”

Section: Discussionmentioning

confidence: 99%

“…Considering the high prevalence of HAIs in cancer patients, assessing the burden of HAIs on cancer patients is important for strengthening the management of HAIs in cancer hospitals.Epidemiological data supported that HAIs are associated with multiple risk factors and can be prevented [9]. Although patients with cancer are susceptible to infections[10], studies exploring the in uencing factors of HAIs in this high-risk population are limited worldwide [11,12]. Therefore, it is important to identify speci c risk factors in the more susceptible population, which helps to develop targeted preventive measures.Based on these considerations, we conducted this retrospective study involving inpatients discharged for the rst time from the Sun Yat-sen University Cancer Center, a large regional cancer hospital in Southern China, to identify the risk factors of HAIs and estimate the burden including economic loss and length of hospital stay (LOS) attributed to HAIs overall and that across different speci c infection sites.…”

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confidence: 99%

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Influencing factors and burden of hospital-acquired infections among cancer patients

Huang,

Ning,

Liu

et al. 2023

Preprint

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Background To explore the influencing factors and evaluate the economic loss of hospital acquired infections (HAIs) in cancer patients so as to provide evidence for reasonable prevention policies and measures. Methods Patients who were discharged for the first time from Sun Yat-sen University Cancer Center between Jan 1 and Dec 31, 2022 were recruited. Data were obtained from the medical record system and the nosocomial infection surveillance system. Logistic regression model was adopted to analyze the influencing factors of HAIs. By using 1:1 case-control matching and Wilcoxon signed rank test, economic loss and length of hospital stay (LOS) caused by HAIs were estimated. Results A total of 45030 cancer patients were enrolled in this study, of which 457 suffered HAIs. Logistic regression analysis showed that older age, longer retention days of deep vein catheter, longer indwelling days of urinary catheter, diabetes mellitus, male, surgical operation, and myelosuppression were all independent risk factors for HAIs (odds ratios ranges from 1.01 to 10.68). The analysis of 256 matched pairs presented that the total hospitalization expenditure and self-paid expenditure of the HAI group (114.79, 51.56 thousand-yuan, respectively) were significantly higher than those of the non-HAI group (77.15, 34.68 thousand-yuan, respectively). Compared with non-HAI group, the LOS in HAI group was significantly longer by 8 days. Conclusions HAIs lead to the increase of direct economic burden and LOS in cancer patients. Cancer patients who are male, older age, administrated with invasive operations, with diabetes mellitus and myelosuppression are more susceptible to HAIs.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Influencing factors and burden of hospital-acquired infections among cancer patients

Huang,

Ning,

Liu

et al. 2023

Preprint

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“…Previous studies have provided evidence that patients with open abdominal surgery are at high risk to contract nosocomial infections, with an incidence rate ranging from 7.3% to 27.20% ( 13 – 15 ). The incidence of nosocomial infections even exceeded 35% in a cohort of patients over 45 years of age who underwent gastrointestinal surgery ( 16 ).…”

Section: Discussionmentioning

confidence: 99%

Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection

Cen²,

Gao³

et al. 2022

Front. Endocrinol.

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BackgroundThe inflammatory response plays a critical role in postoperative nosocomial infections, which are the most common postoperative complications causing adverse events and poor postoperative outcomes. This study aimed to explore the ability of early inflammation-related factor levels to predict the occurrence of nosocomial infections after abdominal surgery.MethodsThe study included 146 patients with open abdominal surgery (a nosocomial infection group (NI group, n=42) and a no-nosocomial infection group (NNI group, n=104)). After 1:1 matching, the patients were divided into a matching nosocomial infection group (M-NI group, n=25) and a matching no-nosocomial infection group (M-NNI group, n=25). Serum levels of interleukin (IL)-6, IL-8, IL-10, IL-12, IL-18, macrophage migration inhibitory factor (MIF), and monocyte chemotactic protein (MCP-1) were tested at three time points (pre-operation, 0-hour post-operation (POD1) and 24-hour post-operation (POD2)). The area under the receiver operating characteristic curve (AUC-ROC) was used to test the predictive abilities.ResultsThere were significant differences in the levels of IL-6, IL-12, and IL-18 between the M-NI and M-NNI groups (p < 0.05), but not in the levels of other inflammatory factors. MIF, IL-8, and MCP-1 levels were higher in the M-NI group than in the M-NNI group at POD2 (p < 0.05). In the ROC analysis, the AUC for prediction of nosocomial infection using a combination of IL-6 and IL-18 at POD1 was 0.9616, while the AUCs for IL-6 alone and IL-12 alone were 0.8584 and 0.8256, respectively.ConclusionsThe combination of the levels of inflammatory factors, IL-6 and IL-18, at the 0-hour postoperative time point, significantly improved the predictive ability to the development of postoperative infection during perioperative period. Our study suggests the importance of monitoring postoperative inflammatory markers.

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“…The Diagnostic Criteria for SWI: 11 SWI after cardiac surgery can be divided into the superficial SWI (SSWI) and deep SWI (DSWI). 12 SSWI is an infection limited to the skin and subcutaneous tissues without the involvement of the sternum or mediastinum.…”

Section: Methodsmentioning

confidence: 99%

“…The definition of DSWI: DSWI, also known as mediastinal infection, is defined as infection related to surgical incision and involving muscle and bone, with or without infection in the posterior sternal space. 1,9,10 The Diagnostic Criteria for SWI: 11 SWI after cardiac surgery can be divided into the superficial SWI (SSWI) and deep SWI (DSWI). 12 SSWI is an infection limited to the skin and subcutaneous tissues without the involvement of the sternum or mediastinum.…”

Section: The Definition and Diagnostic Criteria For Dswimentioning

confidence: 99%

Analysis of Risk Factors for Sternal Wound Infection After Off-Pump Coronary Artery Bypass Grafting

Yang¹,

Zhang²,

Qu³

et al. 2022

IDR

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Objective To investigate the risk factors of deep sternal wound infection (DSWI) after off-pump coronary artery bypass grafting and its prevention and treatment strategy. Methods The clinical data of 465 patients who underwent OPCABG with a median chest incision were retrospectively analyzed. The patients were divided into the observation group (with DSWI, 32 cases) and the control group (without DSWI, 433 cases) according to the occurrence of DSWI. The preoperative, intraoperative, and postoperative clinical data relevant to DSWI were collected in both groups. The univariate and multivariate logistic regression analyses were adopted to analyze the risk factors for DSWI after OPCABG and investigateand its prevention and treatment strategy. Results DSWI occurred in 32 cases with an incidence of infection of 6.89%. There were 5 cases died in the observation group (with DSWI), the overall mortality rate was 1.07% and the intra-group mortality rate was 15.6%. There were 16 cases died in the control group (without DSWI) because of low cardiac output syndrome and multiple organ failure, the overall and intra-group mortality rates were 3.44% and 3.69% respectively. By analyzing the risk factors of DSWI between the two groups, the differences in age, body mass index (BMI), history of diabetes mellitus (DM), operation time, tracheal intubation time, time of stay in thecardiac care unit, blood transfusion (blood plasma)>800mL, blood transfusion (erythrocyte suspension)>6um, secondary thoracotomy were statistically significant between the observation and control groups ( P < 0.05 in all). Conclusion Obesity, history of DM, prolonged operation time and tracheal intubation time, time of stay in CCU, utilization of blood product and secondary thoracotomy were DSWI independent risk factors after OPCABG.Some preventive measure should been implemented to reduce the incidence of DSWI, such as shorter operation time and tracheal intubation time, reducing the utilization of blood product.

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Regression analysis of the risk factors for postoperative nosocomial infection in patients with abdominal tumors: experience from a large cancer centre in China

Cited by 5 publications

References 20 publications

Influencing factors and burden of hospital-acquired infections among cancer patients

Influencing factors and burden of hospital-acquired infections among cancer patients

Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection

Analysis of Risk Factors for Sternal Wound Infection After Off-Pump Coronary Artery Bypass Grafting

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