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Yin V, Cobb JP, Wightman SC, Atay SM, Harano T, Kim AW. Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery. World J Surg 2023; 47:2392-2400. [PMID: 37405445 PMCID: PMC10474202 DOI: 10.1007/s00268-023-07093-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2023] [Indexed: 07/06/2023]
Abstract
BACKGROUND The goal of this study was to investigate factors associated with 30-day readmission in a multivariate model, including the CDC wound classes "clean," "clean/contaminated," "contaminated," and "dirty/infected." METHODS The 2017-2020 American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all patients undergoing total hip replacement, coronary artery bypass grafting, Ivor Lewis esophagectomy, pancreaticoduodenectomy, distal pancreatectomy, pneumonectomy, and colectomies. ACS-defined wound classes were concordant with CDC definitions. Multivariate linear mixed regression was used to determine risk factors for readmission while adjusting for type of surgery as a random intercept. RESULTS 477,964 cases were identified, with 38,734 (8.1%) patients having experienced readmission within 30 days of surgery. There were 181,243 (37.9%) cases classified as wound class "clean", 215,729 (45.1%) cases classified as "clean/contaminated", 40,684 cases (8.5%) classified as "contaminated", and 40,308 (8.4%) cases classified as "dirty/infected". In the multivariate generalized mixed linear model adjusting for type of surgery, sex, body mass index, race, American Society of Anesthesiologists class, presence of comorbidity, length of stay, urgency of surgery, and discharge destination, "clean/contaminated" (p < .001), "contaminated" (p < .001), and "dirty/infected" (p < .001) wound classes (when compared to "clean") were significantly associated with 30-day readmission. Organ/space surgical site infection and sepsis were among the most common reasons for readmission in all wound classes. CONCLUSIONS Wound classification was strongly prognostic for readmission in multivariable models, suggesting that it may serve as a marker of readmissions. Surgical procedures that are "non-clean" are at significantly greater risk for 30-day readmission. Readmissions may be due to infectious complications; optimizing antibiotic use or source control to prevent readmission are areas of future study.
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Affiliation(s)
- Victoria Yin
- Keck School of Medicine, University of Southern California, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - J Perren Cobb
- Departments of Surgery & Anesthesiology, Critical Care Institute, Keck School of Medicine, University of Southern California, 1520 San Pablo Street, Suite 4300, Los Angeles, CA, 90033, USA
| | - Sean C Wightman
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine, University of Southern California, 1510 San Pablo Street, Suite 514, Los Angeles, CA, 90033, USA
| | - Scott M Atay
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine, University of Southern California, 1510 San Pablo Street, Suite 514, Los Angeles, CA, 90033, USA
| | - Takashi Harano
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine, University of Southern California, 1510 San Pablo Street, Suite 514, Los Angeles, CA, 90033, USA
| | - Anthony W Kim
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine, University of Southern California, 1510 San Pablo Street, Suite 514, Los Angeles, CA, 90033, USA.
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Bernstein JD, Bracken DJ, Abeles SR, Orosco RK, Weissbrod PA. Surgical wound classification in otolaryngology: A state-of-the-art review. World J Otorhinolaryngol Head Neck Surg 2022; 8:139-144. [PMID: 35782398 PMCID: PMC9242420 DOI: 10.1002/wjo2.63] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 12/05/2021] [Indexed: 12/04/2022] Open
Abstract
Objective To describe the issues related to the assignment of surgical wound classification as it pertains to Otolaryngology-Head & Neck surgery, and to present a simple framework by which providers can assign wound classification. Data Sources Literature review. Conclusion Surgical wound classification in its current state is limited in its utility. It has recently been disregarded by major risk assessment models, likely due to inaccurate and inconsistent reporting by providers and operative staff. However, if data accuracy is improved, this metric may be useful to inform the risk of surgical site infection. In an era of quality-driven care and reimbursement, surgical wound classification may become an equally important indicator of quality.
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Affiliation(s)
- Jeffrey D. Bernstein
- Department of OtolaryngologyUniversity of California San DiegoLa JollaCaliforniaUSA
| | - David J. Bracken
- Department of OtolaryngologyUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Shira R. Abeles
- Department of Medicine, Division of Infectious Disease and Global Public HealthUniversity of California San DiegoSan DiegoCaliforniaUSA
| | - Ryan K. Orosco
- Department of OtolaryngologyUniversity of California San DiegoLa JollaCaliforniaUSA
- Moores Cancer CenterUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Philip A. Weissbrod
- Department of OtolaryngologyUniversity of California San DiegoLa JollaCaliforniaUSA
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A Comparison of Interobserver Reliability Between Orthopedic Surgeons Using the Centers for Disease Control Surgical Wound Class Definitions. J Am Acad Orthop Surg 2021; 29:1068-1071. [PMID: 33945517 DOI: 10.5435/jaaos-d-20-01128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 04/05/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND The Centers for Disease Control (CDC) created a classification to help stratify surgical wounds based on contamination and risk of developing a surgical site infection. The classification includes four options (I to IV) depending on the level of contamination present. Although universally applied to a variety of surgical specialties, it is unknown whether the current system is reliable when considering orthopaedic surgeries. The purpose of this study was to compare the degree of interobserver reliability between orthopaedic surgeons using the current CDC wound class definitions. METHODS A questionnaire containing 30 clinical vignettes was completed by 39 orthopaedic surgeons at our institution. After each vignette, respondents were asked to determine the appropriate wound class based on information provided in the vignette. The overall interobserver agreement among all participants was analyzed. In addition, respondents were queried about the adequacy of the current classification system in describing orthopaedic surgical wound class. RESULTS Interobserver agreement was poor at 66%, with a coefficient of concordance of 0.48. Only six physicians (15.4%) thought that the current wound classification system adequately covered orthopaedic surgery. CONCLUSIONS There is poor interobserver reliability using the CDC surgical wound class definitions for orthopaedic surgeries. Alternate definitions are needed to improve the validity of the system for subspecialty procedures.
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Alganabi M, Biouss G, Pierro A. Surgical site infection after open and laparoscopic surgery in children: a systematic review and meta-analysis. Pediatr Surg Int 2021; 37:973-981. [PMID: 33934183 DOI: 10.1007/s00383-021-04911-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/15/2021] [Indexed: 12/29/2022]
Abstract
Surgical site infections (SSIs) are the most common healthcare-associated infections in patients undergoing surgery. Various randomised control trials (RCTs) indicate that laparoscopic procedures can be associated with better outcomes compared to open procedures. However, how open versus laparoscopic approaches compare across various paediatric procedures with respect to SSI rate remains poorly defined. In this review, we examined RCTs that directly compare SSI rates after open versus laparoscopic operations for appendicitis, gastro-esophageal reflux, inguinal hernia, and pyloric stenosis. MEDLINE, Embase, and Web of Science were searched for RCTs comparing four types of open versus laparoscopic operations in children. The operations included appendectomy, fundoplication for gastro-esophageal reflux, inguinal hernia repair, or pyloromyotomy. 364 records were identified and screened, 54 full-text articles were assessed for eligibility, and 17 RCTs were included in the analysis. SSI rate was the primary outcome. Operative time and length of stay (LOS) were the secondary outcomes. A meta-analysis was conducted using RevMan 5.4 software. Laparoscopic appendectomy had a lower SSI rate than open appendectomy (odds ratio of 2.22 [1.19, 4.15] p = 0.01). Laparoscopic fundoplication for gastro-esophageal reflux, inguinal hernia repair, or pyloromyotomy for pyloric stenosis were not associated with lower SSI rate compared to open surgery. Operative time was shorter in open fundoplication (- 71.22 min [- 89.79, - 52.65] p < 0.00001) than laparoscopic fundoplication. There was no significant difference in operative time of any of the other procedures. There was no significant difference in LOS between open and laparoscopic procedures for all types of operations analysed. Based on the findings of this review, it is recommended to utilise the laparoscopic approach over the open approach to reduce SSI risk in paediatric appendectomy.
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Affiliation(s)
- Mashriq Alganabi
- Division of General and Thoracic Surgery, Translational Medicine Program, University of Toronto, The Hospital for Sick Children, 555 University Ave, Toronto, ON, M5G 1X8, Canada
| | - George Biouss
- Division of General and Thoracic Surgery, Translational Medicine Program, University of Toronto, The Hospital for Sick Children, 555 University Ave, Toronto, ON, M5G 1X8, Canada
| | - Agostino Pierro
- Division of General and Thoracic Surgery, Translational Medicine Program, University of Toronto, The Hospital for Sick Children, 555 University Ave, Toronto, ON, M5G 1X8, Canada.
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Stefanou A, Worden A, Kandagatla P, Reickert C, Rubinfeld I. Surgical Wound Misclassification to Clean From Clean-Contaminated in Common Abdominal Operations. J Surg Res 2019; 246:131-138. [PMID: 31580983 DOI: 10.1016/j.jss.2019.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Revised: 07/28/2019] [Accepted: 09/03/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND Wound classification helps predict wound-related complications and is useful in stratifying surgical site infection reporting. We sought to evaluate misclassification among commonly performed surgeries that are at least clean-contaminated. MATERIALS AND METHODS The National Surgical Quality Improvement Program database was queried from 2005 to 2016 by Current Procedural Terminology codes identifying common surgeries that are, by definition, not clean: colectomy, cholecystectomy, hysterectomy, and appendectomy. Univariate analysis and multivariate logistic regression were performed. RESULTS Of the 1,208,544 operative cases reviewed, 22,925 (1.90%) were misclassified as clean. Hysterectomy was the most commonly misclassified operation (3.11%), and colectomy the least (0.82%). Misclassification was higher in laparoscopic cases (1.92% versus 1.82%; P < 0.01). Misclassification increased from 2005 to 2016 (0.22% versus 3.11%; P < 0.01). Misclassified patients were younger (46.7 versus 47.7 y; P < 0.01); had lower rates of hypertension, chronic obstructive pulmonary disease, smoking history, and steroid use (P < 0.01); and had shorter length of stay (2.2 versus 3.2 d; P < 0.01), lower 30-d readmission rates (3.7% versus 5.0%; P < 0.01), and less surgical site infections (1.7% versus 3.4%; P < 0.01). Open hysterectomy was the most significant positive predictor for misclassification (odds ratio 3.34; P < 0.01). Open appendectomy was the most significant negative predictor (odds ratio 0.20; P < 0.01). CONCLUSIONS There is an increasing trend of misclassifying wounds as clean. Misclassified patients have better outcomes, and misclassification may be affected by patient characteristics, operative approach, and type of procedure rather than reflecting the true infectious burden. Further research is warranted.
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Affiliation(s)
- Amalia Stefanou
- Department of Colon and Rectal Surgery, Henry Ford Hospital, Detroit, Michigan.
| | - Andrew Worden
- Department of General Surgery, Henry Ford Hospital, Detroit, Michigan
| | - Pridvi Kandagatla
- Department of General Surgery, Henry Ford Hospital, Detroit, Michigan
| | - Craig Reickert
- Department of Colon and Rectal Surgery, Henry Ford Hospital, Detroit, Michigan
| | - Ilan Rubinfeld
- Department of General Surgery, Henry Ford Hospital, Detroit, Michigan
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Zens T, Beems M, Haines K, Rauh R, Bhattarai A, Heise C, Snyder M, Agarwal S. General Surgery Resident Educational Session Improves Accuracy of Wound Classification. Am Surg 2019. [DOI: 10.1177/000313481908500112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Tiffany Zens
- Department of Surgery Division of Trauma and Critical Care University of Wisconsin School of Medicine and Public Health Madison, Wisconsin
| | - Megan Beems
- Department of Surgery Division of Trauma and Critical Care University of Wisconsin School of Medicine and Public Health Madison, Wisconsin
| | - Krista Haines
- Department of Trauma, Critical Care, and Acute Care Surgery Duke University Durham, North Carolina
| | - Ryan Rauh
- Department of Surgery Division of Trauma and Critical Care University of Wisconsin School of Medicine and Public Health Madison, Wisconsin
| | - Ashok Bhattarai
- Department of Surgery Division of Trauma and Critical Care University of Wisconsin School of Medicine and Public Health Madison, Wisconsin
| | - Charles Heise
- Department of Surgery Division of Colorectal Surgery University of Wisconsin School of Medicine and Public Health Madison, Wisconsin
| | - Mara Snyder
- Department of Surgery Division of Trauma and Critical Care University of Wisconsin School of Medicine and Public Health Madison, Wisconsin
| | - Suresh Agarwal
- Department of Trauma, Critical Care, and Acute Care Surgery Duke University Durham, North Carolina
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Butler MW, Zarosinski S, Rockstroh D. Improvement of surgical wound classification following a targeted training program at a children's hospital. J Pediatr Surg 2018; 53:2378-2382. [PMID: 30268490 DOI: 10.1016/j.jpedsurg.2018.08.037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 08/25/2018] [Indexed: 11/28/2022]
Abstract
BACKGROUND Inaccurate assignment of surgical wound class (SWC) remains a challenge in perioperative documentation. The purpose of our intervention was to increase the accuracy of SWC through a targeted training program directed toward pediatric surgeons and nurses. METHODS A retrospective electronic medical record (EMR) chart review of 400 operations was performed according to NSQIP criteria during specified periods in 2014 and 2017, assessing SWC errors before and after a training program and posting of reference materials in operating rooms at a 165-bed children's hospital. After each operation, nurses confirmed SWC with the surgeon before recording the value in the EMR. Differences in proportions of misclassified SWC were evaluated with a chi-square test. RESULTS Following the educational program, misclassified SWC improved from 70/200 (35.0%) to 18/200 (9.0%), p < 0.001. Misclassified SWC for appendectomies improved from 46/95 (48.4%) to 12/108 (11.1%), p < 0.001. CONCLUSIONS Accurate SWC assignment in the EMR was improved by an educational program and posting of materials to aid assignment, as well as enhanced communication between surgeons and nurses at the conclusion of each operation. We present the first known attempt to list all pediatric surgery procedures according to SWC. Accurate SWC allows stratification of risks and more effective targeted interventions. LEVEL OF EVIDENCE Level III.
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Affiliation(s)
- Marilyn W Butler
- Pediatric National Surgical Quality Improvement Program, Randall Children's Hospital, 2801 N Gantenbein Avenue, Portland, OR, 97227, USA; Oregon Health and Science University, Portland, OR, USA.
| | - Sandy Zarosinski
- Pediatric National Surgical Quality Improvement Program, Randall Children's Hospital, 2801 N Gantenbein Avenue, Portland, OR, 97227, USA.
| | - Dagmar Rockstroh
- Pediatric National Surgical Quality Improvement Program, Providence St. Vincent Medical Center, 9205 SW Barnes Road, Portland, OR, 97225, USA.
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Gorvetzian JW, Epler KE, Schrader S, Romero JM, Schrader R, Greenbaum A, McKee R. Operating room staff and surgeon documentation curriculum improves wound classification accuracy. Heliyon 2018; 4:e00728. [PMID: 30109278 PMCID: PMC6088459 DOI: 10.1016/j.heliyon.2018.e00728] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2018] [Revised: 06/08/2018] [Accepted: 08/03/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Misclassification of wounds in the operating room (OR) can adversely affect surgical site infection (SSI) reporting and reimbursement. This study aimed to measure the effects of a curriculum on documentation of surgical wound classification (SWC) for operating room staff and surgeons. METHODS Accuracy of SWC was determined by comparing SWC documented by OR staff during the original operation to SWC determined by in-depth chart review. Patients 18 years or older undergoing inpatient surgical procedures were included. Two plan-do-act-study (PDSA) cycles were implemented over the course of 9 months. A total of 747 charts were reviewed. Accuracy of SWC documentation was retrospectively assessed across 248 randomly selected surgeries during a 5-week period prior to interventions and compared to 244 cases and 255 cases of post-intervention data from PDSA1 and PDSA2, respectively. Changes in SWC accuracy were assessed pre- and post-intervention using the kappa coefficient. A p-value for change in agreement was computed by comparing pre- and post-intervention kappa. RESULTS Inaccurate documentation of surgical wound class decreased significantly following curriculum implementation (kappa improved from 0.553 to 0.739 and 0.757; p = 0.001). Classification accuracy improved across all wound classes; however, class III and IV wounds were more frequently misclassified than class I and II wounds, both before and after the intervention. CONCLUSION Implementation of a multidisciplinary documentation curriculum resulted in a significant decrease in SWC documentation error. Improved accuracy of SWC reporting may facilitate a better assessment of SSI risk in a complex patient population.
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Affiliation(s)
| | | | - Samuel Schrader
- University of New Mexico, School of Medicine, Albuquerque, NM, USA
| | - Joshua M. Romero
- University of New Mexico, School of Medicine, Albuquerque, NM, USA
| | | | - Alissa Greenbaum
- University of New Mexico, Department of Surgery, Albuquerque, NM, USA
| | - Rohini McKee
- University of New Mexico, Department of Surgery, Albuquerque, NM, USA
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Bartz-Kurycki MA, Green C, Anderson KT, Alder AC, Bucher BT, Cina RA, Jamshidi R, Russell RT, Williams RF, Tsao K. Enhanced neonatal surgical site infection prediction model utilizing statistically and clinically significant variables in combination with a machine learning algorithm. Am J Surg 2018; 216:764-777. [PMID: 30078669 DOI: 10.1016/j.amjsurg.2018.07.041] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 05/08/2018] [Accepted: 07/17/2018] [Indexed: 01/23/2023]
Abstract
BACKGROUND Machine-learning can elucidate complex relationships/provide insight to important variables for large datasets. This study aimed to develop an accurate model to predict neonatal surgical site infections (SSI) using different statistical methods. METHODS The 2012-2015 National Surgical Quality Improvement Program-Pediatric for neonates was utilized for development and validations models. The primary outcome was any SSI. Models included different algorithms: full multiple logistic regression (LR), a priori clinical LR, random forest classification (RFC), and a hybrid model (combination of clinical knowledge and significant variables from RF) to maximize predictive power. RESULTS 16,842 patients (median age 18 days, IQR 3-58) were included. 542 SSIs (4%) were identified. Agreement was observed for multiple covariates among significant variables between models. Area under the curve for each model was similar (full model 0.65, clinical model 0.67, RF 0.68, hybrid LR 0.67); however, the hybrid model utilized the fewest variables (18). CONCLUSIONS The hybrid model had similar predictability as other models with fewer and more clinically relevant variables. Machine-learning algorithms can identify important novel characteristics, which enhance clinical prediction models.
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Affiliation(s)
- Marisa A Bartz-Kurycki
- McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin St, Houston, TX, 77030, USA
| | - Charles Green
- McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin St, Houston, TX, 77030, USA
| | - Kathryn T Anderson
- McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin St, Houston, TX, 77030, USA
| | - Adam C Alder
- Children's Medical Center of Dallas, 1935 Medical District Dr, Dallas, TX, 75235, USA
| | - Brian T Bucher
- University of Utah School of Medicine, 30 N 1900 E, Salt Lake City, UT, 84132, USA
| | - Robert A Cina
- Medical University of South Carolina, 180 Calhoun St, Charleston, SC, 29401, USA
| | - Ramin Jamshidi
- Phoenix Children's Hospital, 1919 E Thomas Rd, Phoenix, AZ, 85016, USA
| | - Robert T Russell
- Children's Hospital of Alabama, University of Alabama at Birmingham, 1600 7th Ave. S., Birmingham, AL, 35233, USA
| | - Regan F Williams
- University of Tennessee Health Science Center, 910 Madison Ave, Memphis, TN, 38163, USA
| | - KuoJen Tsao
- McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin St, Houston, TX, 77030, USA.
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Bartz-Kurycki MA, Anderson KT, Abraham JE, Masada KM, Wang J, Kawaguchi AL, Lally KP, Tsao K. Debriefing: the forgotten phase of the surgical safety checklist. J Surg Res 2017; 213:222-227. [DOI: 10.1016/j.jss.2017.02.072] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Revised: 02/02/2017] [Accepted: 02/24/2017] [Indexed: 10/20/2022]
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Wang-Chan A, Gingert C, Angst E, Hetzer FH. Clinical relevance and effect of surgical wound classification in appendicitis: Retrospective evaluation of wound classification discrepancies between surgeons, Swissnoso-trained infection control nurse, and histology as well as surgical site infection rates by wound class. J Surg Res 2017; 215:132-139. [PMID: 28688638 DOI: 10.1016/j.jss.2017.03.034] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 03/14/2017] [Accepted: 03/24/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND Surgical wound classification (SWC) is used for risk stratification of surgical site infection (SSI) and serves as the basis for measuring quality of care. The objective was to examine the accuracy and reliability of SWC. This study was purposed to evaluate the discrepancies in SWC as assessed by three groups: surgeons, an infection control nurse, and histopathologic evaluation. The secondary aim was to compare the risk-stratified SSI rates using the different SWC methods for 30 d postoperatively. METHODS An analysis was performed of the appendectomies from January 2013 to June 2014 in the Cantonal Hospital of Schaffhausen. SWC was assigned by the operating surgeon at the end of the procedure and retrospectively reviewed by a Swissnoso-trained infection control nurse after reading the operative and pathology report. The level of agreement among the three different SWC assessment groups was determined using kappa statistic. SSI rates were analyzed using a chi-square test. RESULTS In 246 evaluated cases, the kappa scores for interrater reliability among the SWC assessments across the three groups ranged from 0.05 to 0.2 signifying slight agreement between the groups. SSIs were more frequently associated with trained infection control nurse-assigned SWC than with surgeons based SWC. CONCLUSIONS Our study demonstrated a considerable discordance in the SWC assessments performed by the three groups. Unfortunately, the currently practiced SWC system suffers from ambiguity in definition and/or implementation of these definitions is not clearly stated. This lack of reliability is problematic and may lead to inappropriate comparisons within and between hospitals and surgeons.
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Affiliation(s)
| | - Christian Gingert
- Department of Visceral and Thoracic Surgery, Cantonal Hospital Winterthur, Winterthur, Switzerland; Faculty of Health, Department of Medicine, University of Witten/Herdecke, Herdecke, Germany
| | - Eliane Angst
- Department of Surgery and Orthopedics, Cantonal Hospital Schaffhausen, Schaffhausen, Switzerland; Department of Visceral Surgery and Medicine, Inselspital, University of Bern, Bern, Switzerland
| | - Franc Heinrich Hetzer
- Department of Surgery and Orthopedics, Hospital Linth, Uznach, Switzerland; Faculty of Medicine, University of Zurich, Zurich, Switzerland
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12
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Abstract
BACKGROUND Abscess rates have been reported to be as low as 1% and as high as 50% following perforated appendicitis (PA). This range may be because of lack of universal definition for PA. An evidence-based definition (EBD) is crucial for accurate wound classification, risk-stratification, and subsequent process optimization. ACS NSQIP-Pediatric guidelines do not specify a definition of PA. We hypothesize that reported postoperative abscess rates underrepresent true incidence, as they may include low-risk cases in final calculations. METHODS Local institutional records of PA patients were reviewed to calculate the postoperative abscess rate. The ACS NSQIP-Pediatric participant use file (PUF) was used to determine cross-institutional postoperative abscess rates. A PubMed literature review was performed to identify trials reporting PA abscess rates, and definitions and rates were recorded. RESULTS 20.9% of our patients with PA developed a postoperative abscess. The ACS NSQIP-Pediatric abscess rate was significantly lower (7.61%, p<0.001). In the eighteen published studies analyzed, average abscess rate (14.49%) was significantly higher than ACS NSQIP-Pediatric (p<0.001). There was significantly more variation in trials that do not employ an EBD of perforation (Levene's test F-value =6.980, p=0.018). CONCLUSIONS A standard EBD of perforation leads to lower variability in reported postoperative abscess rates following PA. Nonstandard definitions may be significantly altering the aggregate rate of postoperative abscess formation. We advocate for adoption of a standard definition by all institutions participating in ACS NSQIP-Pediatric data submission. LEVEL OF EVIDENCE III.
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