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Eisenberg MT, Block AM, Vopat ML, Olsen MA, Nepple JJ. Rates of Infection After ACL Reconstruction in Pediatric and Adolescent Patients: A MarketScan Database Study of 44,501 Patients. J Pediatr Orthop 2022; 42:e362-e366. [PMID: 35132010 PMCID: PMC8901548 DOI: 10.1097/bpo.0000000000002080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Numerous studies have demonstrated an increase in the number of anterior cruciate ligament (ACL) reconstruction procedures performed in pediatric patients. Despite this, most knowledge of surgical site infection rates after these procedures are based on adult studies and data is currently limited in pediatric patients. The purpose of this study was to describe and analyze the rates of infection after ACL reconstruction among pediatric patients and adolescent patients (compared with young adult patients) utilizing the MarketScan Commercial Claims and Encounters Database. METHODS The Truven Health Analytics MarketScan Commercial Claims and Encounters database was assessed to access health care utilization data for privately insured individuals aged 5 to 30 years old. ACL reconstruction records performed between 2006 and 2018 were identified using Current Procedures Terminology (CPT) codes. International Classification of Diseases Ninth Revision (ICD-9), Tenth (ICD-10) codes and CPT codes were used to identify patients requiring treatment for infection. All patients had at least 180 days of insurance coverage after intervention. RESULTS A total of 44,501 individuals aged below 18 years old and 63,495 individuals aged 18 to 30 years old that underwent arthroscopic ACL reconstruction were identified. There were no differences in infection rates between those below 18 years old (0.52%) and those above 18 years old (0.46%, P=0.227). However, among patients below 18 years old, patients below 15 years old had a significantly lower rate of infection at 0.37% compared with adolescents (15 to 17 y old) at 0.55% (P=0.039). Among young adults, males had higher rates of infection than females (0.52% vs. 0.37%), while no difference was observed in the pediatric and adolescent population (0.58% vs. 0.47%, P=0.109). CONCLUSION Utilizing an insurance database, this study demonstrated that rates of infection after ACL Reconstruction in a pediatric/adolescent population are low (0.52%) and similar to rates in young adults. Infection rates after ACLR reconstruction appear to be slightly lower in patients under 15 years of age (0.37%). LEVEL OF EVIDENCE Level III-Retrospective comparative study.
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Affiliation(s)
- Matthew T. Eisenberg
- Department of Orthopaedic Surgery, Washington University
School of Medicine, St. Louis, MO
| | - Andrew M. Block
- Department of Orthopaedic Surgery, Washington University
School of Medicine, St. Louis, MO
| | - Matthew L. Vopat
- Department of Orthopaedic Surgery, Washington University
School of Medicine, St. Louis, MO
| | - Margaret A. Olsen
- Division of Infectious Diseases, Center for Administrative
Data Research, Washington University School of Medicine, St. Louis, Missouri,
USA
- Division of Public Health Sciences, Washington University
School of Medicine, St. Louis, Missouri, USA
| | - Jeffrey J. Nepple
- Department of Orthopaedic Surgery, Washington University
School of Medicine, St. Louis, MO
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Grundmeier RW, Xiao R, Ross RK, Ramos MJ, Karavite DJ, Michel JJ, Gerber JS, Coffin SE. Identifying surgical site infections in electronic health data using predictive models. J Am Med Inform Assoc 2019; 25:1160-1166. [PMID: 29982511 DOI: 10.1093/jamia/ocy075] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 05/22/2018] [Indexed: 12/28/2022] Open
Abstract
Objective The objective was to prospectively derive and validate a prediction rule for detecting cases warranting investigation for surgical site infections (SSI) after ambulatory surgery. Methods We analysed electronic health record (EHR) data for children who underwent ambulatory surgery at one of 4 ambulatory surgical facilities. Using regularized logistic regression and random forests, we derived SSI prediction rules using 30 months of data (derivation set) and evaluated performance with data from the subsequent 10 months (validation set). Models were developed both with and without data extracted from free text. We also evaluated the presence of an antibiotic prescription within 60 days after surgery as an independent indicator of SSI evidence. Our goal was to exceed 80% sensitivity and 10% positive predictive value (PPV). Results We identified 234 surgeries with evidence of SSI among the 7910 surgeries available for analysis. We derived and validated an optimal prediction rule that included free text data using a random forest model (sensitivity = 0.9, PPV = 0.28). Presence of an antibiotic prescription had poor sensitivity (0.65) when applied to the derivation data but performed better when applied to the validation data (sensitivity = 0.84, PPV = 0.28). Conclusions EHR data can facilitate SSI surveillance with adequate sensitivity and PPV.
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Affiliation(s)
- Robert W Grundmeier
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Rui Xiao
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Rachael K Ross
- Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA
| | - Mark J Ramos
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Dean J Karavite
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jeremy J Michel
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jeffrey S Gerber
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA
| | - Susan E Coffin
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA
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Drivers of Hospital Length of Stay in Medicaid and Commercially Insured Mother-Infant Pairs With a Diagnosis of Neonatal Abstinence Syndrome. Med Care 2019; 57:977-983. [PMID: 31567861 DOI: 10.1097/mlr.0000000000001199] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The occurrence of neonatal abstinence syndrome (NAS) mirrors the growing opioid epidemic in the United States. As Medicaid covers a majority of cases, the commercially insured population has largely been ignored for NAS risk. OBJECTIVE The objective of this study was to examine Medicaid and commercially insured mother-infant pairs to determine demographic and clinical characteristics associated with NAS length of stay (LOS). RESEARCH DESIGN This observational, descriptive case-series study utilized administrative claims from HealthCore Integrated Research Database to measure maternal characteristics for 6 months before delivery, and neonatal characteristics and health care service utilization for 3 months after NAS diagnosis. Bootstrapped regressions were used to model LOS. RESULTS The sample included 1807 mother-infant pairs. Most infants (79%) had Medicaid coverage (Medicaid: N=1419; Commercial: N=388). Although all infants had NAS, Medicaid-insured mothers had more prevalent drug abuse (70.8% vs. 41.0%; P<0.0001), but fewer used prescription opioids (45.3% vs. 60.8%; P<0.0001) compared with commercially insured mothers. Commercially insured infants were sicker, with a higher prevalence of complex chronic conditions, and yet Medicaid-insured infants were admitted to neonatal intensive care unit at a much higher rate (91.1% vs. 78.9%; P<0.0001). After adjustment, neonatal intensive care unit admission (+6.7 d, 95% confidence interval: 4.5-9.3) and chronic complex conditions (+5.2 d, 95% confidence interval: 3.8-6.6) contributed most to LOS. CONCLUSION A re-evaluation of obstetrical management towards a focus on the history of possible opioid and substance use regardless of insurance type and demographic background might inform efforts to reduce LOS.
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Johnston KJ, Thorpe KE, Jacob JT, Murphy DJ. The incremental cost of infections associated with multidrug-resistant organisms in the inpatient hospital setting-A national estimate. Health Serv Res 2019; 54:782-792. [PMID: 30864179 DOI: 10.1111/1475-6773.13135] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
OBJECTIVE To estimate the cost of infections associated with multidrug-resistant organisms (MDROs) during inpatient hospitalization in the United States. DATA SOURCES/STUDY SETTING 2014 National Inpatient Sample. STUDY DESIGN Multivariable regression models assessed the incremental effect of MDROs on the cost of hospitalization and hospital length of stay among patients with bacterial infections. DATA COLLECTION/EXTRACTION METHODS We retrospectively identified 6 385 258 inpatient stays for patients with bacterial infection. PRINCIPAL FINDINGS The national incidence rate of inpatient stays with bacterial infection is 20.1 percent. At least 10.8 percent of such stays-and as many as 16.9 percent if we account for undercoded infections-show evidence of one or more MDROs. MRSA, C. difficile, infection with another MDRO, and the presence of more than one MDRO are associated with $1718 (95% CI, $1609-$1826), $4617 (95% CI, $4407-$4827), $2302 (95% CI, $2044-$2560), and $3570 (95% CI, $3019-$4122) in additional costs per stay, respectively. The national cost of infections associated with MDROs is at least $2.39 billion (95% CI, $2.25-$2.52 billion) and as high as $3.38 billion (95% CI, $3.13-$3.62 billion) if we account for undercoded infections. CONCLUSIONS Infections associated with MDROs result in a substantial cost burden to the US health care system.
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Affiliation(s)
- Kenton J Johnston
- Department of Health Management and Policy, Center for Outcomes Research, College for Public Health and Social Justice, Saint Louis University, St. Louis, Missouri
| | - Kenneth E Thorpe
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Jesse T Jacob
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine and Emory Antibiotic Resistance Center, Atlanta, Georgia
| | - David J Murphy
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia.,Office of Quality and Risk, Emory Healthcare, Atlanta, Georgia
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Perioperative Antibiotics for Clean Hand Surgery: A National Study. J Hand Surg Am 2018; 43:407-416.e1. [PMID: 29398330 DOI: 10.1016/j.jhsa.2017.11.018] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 10/25/2017] [Accepted: 11/28/2017] [Indexed: 02/02/2023]
Abstract
PURPOSE Given that surgical site infections remain a common performance metric in assessing the quality of health care, we hypothesized that prophylactic antibiotics are overutilized in soft tissue hand surgery when antimicrobials are not indicated. METHODS We studied insurance claims from the Truven MarketScan Databases to identify patients who underwent 1 of 5 outpatient hand surgery procedures: open or endoscopic carpal tunnel release, trigger finger release, de Quervain release, and wrist ganglion excision between 2009 and 2015 (n = 305,946). Hospital payment claims for preoperative intravenous antibiotics and prescriptions filled for postoperative oral antibiotics were analyzed. We examined the rate and temporal trend of prophylactic antibiotics use and identified risk factors using multivariable logistic regression. We also calculated health care expenditures related to prophylaxis. RESULTS Prior to surgery, 13.6% (2009-2015) of patients received prophylactic intravenous antibiotics and trend analysis showed a statistically significant increase from 2009 (10.6%) to 2015 (18.3%), an increase of 72.5%. Preoperative prophylaxis was used most often prior to trigger finger release (17.5%) and least often prior to endoscopic carpal tunnel release (11.2%). Younger age, male sex, lower income, and obese patients had higher odds of receiving antibiotics. The total charge of prophylactic antibiotics medication used in this study equaled $1.6 million. CONCLUSIONS In 2015, prophylactic intravenous antibiotics were administered to nearly 1 in 5 patients prior to clean soft tissue hand surgery. Although consensus guidelines indicate prophylaxis is not indicated, their use has increased steadily in the United States from 2009 to 2015. TYPE OF STUDY/LEVEL OF EVIDENCE Therapeutic II.
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Use of Quantile Regression to Determine the Impact on Total Health Care Costs of Surgical Site Infections Following Common Ambulatory Procedures. Ann Surg 2017; 265:331-339. [PMID: 28059961 DOI: 10.1097/sla.0000000000001590] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To determine the impact of surgical site infections (SSIs) on health care costs following common ambulatory surgical procedures throughout the cost distribution. BACKGROUND Data on costs of SSIs following ambulatory surgery are sparse, particularly variation beyond just mean costs. METHODS We performed a retrospective cohort study of persons undergoing cholecystectomy, breast-conserving surgery, anterior cruciate ligament reconstruction, and hernia repair from December 31, 2004 to December 31, 2010 using commercial insurer claims data. SSIs within 90 days post-procedure were identified; infections during a hospitalization or requiring surgery were considered serious. We used quantile regression, controlling for patient, operative, and postoperative factors to examine the impact of SSIs on 180-day health care costs throughout the cost distribution. RESULTS The incidence of serious and nonserious SSIs was 0.8% and 0.2%, respectively, after 21,062 anterior cruciate ligament reconstruction, 0.5% and 0.3% after 57,750 cholecystectomy, 0.6% and 0.5% after 60,681 hernia, and 0.8% and 0.8% after 42,489 breast-conserving surgery procedures. Serious SSIs were associated with significantly higher costs than nonserious SSIs for all 4 procedures throughout the cost distribution. The attributable cost of serious SSIs increased for both cholecystectomy and hernia repair as the quantile of total costs increased ($38,410 for cholecystectomy with serious SSI vs no SSI at the 70th percentile of costs, up to $89,371 at the 90th percentile). CONCLUSIONS SSIs, particularly serious infections resulting in hospitalization or surgical treatment, were associated with significantly increased health care costs after 4 common surgical procedures. Quantile regression illustrated the differential effect of serious SSIs on health care costs at the upper end of the cost distribution.
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Pan IW, Kuo GM, Luerssen TG, Lam SK. Impact of antibiotic prophylaxis for intrathecal baclofen pump surgery in pediatric patients. Neurosurg Focus 2015; 39:E10. [DOI: 10.3171/2015.9.focus15385] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT
This study explored antibiotic prophylaxis (AP) in pediatric patients undergoing intrathecal baclofen pump (ITBP) surgery and factors associated with perioperative AP compliance with clinical guidelines.
METHODS
Data were obtained from the Pediatric Health Information System. The study cohort comprised patients who underwent ITBP surgery within 3 days of admission, between July 1, 2004, and March 31, 2014, with a minimum prior screening period and follow-up of 180 days. Exclusion criteria were prior infection, antibiotic use within 30 days of admission, and/or missing financial data. Chi-square tests and multivariate logistic regressions were used to determine factors associated with compliance with AP guidelines in ITBP surgeries.
RESULTS
A total of 1,534 patients met the inclusion criteria; 91.5% received AP and 37.6% received dual coverage or more. Overall bundled compliance comprised 2 components: 1) perioperative antibiotic administration and 2) < 24-hour postoperative antibiotic course. The most frequently used antibiotics in surgery were cefazolin (n = 873, 62.2%) and vancomycin (n = 351, 25%). Documented bundled AP compliance rates were 70.2%, 62.0%, 66.0%, and 55.2% in West, South, Midwest, and Northeast regions of the US, respectively. Compared with surgeries in the Northeast, procedures carried out in the West (OR 2.0, 95% C11.4-2.9, p < 0.001), Midwest (OR 1.6, 95% C11.1-2.3, p = 0.007), and South (OR 1.5, 95% C11.1-2.0, p = 0.021) were more likely to have documented AP compliance. Black (OR 0.74, 95% CI 0.55-1.00, p = 0.05) and Hispanic (OR 0.63, 95% CI 0.47-0.86, p = 0.004) patients were less likely to have documented AP compliance in ITBP surgeries than white patients. There were no significant differences in compliance rate by age, sex, type of insurance, and diagnosis. AP process measures were associated with shorter length of stay, lower hospitalization costs, and lower 6-month rates of surgical infection/complication. One of the 2 noncompliance subgroups, missed preoperative antibiotic administration, was correlated with a significantly higher 6-month surgical complication/infection rate (27.03%) compared with bundled compliance (20.00%, p = 0.021). For the other subgroup, prolonged antibiotic use > 24 hours postoperatively, the rate was insignificantly higher (22.00%, p = 0.368). Thus, of direct relevance to practicing clinicians, missed preoperative antibiotics was associated with 48% higher risk of adverse complication/infection outcome in a 6-month time frame. Adjusted hospitalization costs associated with baclofen pump surgery differed significantly (p < 0.001) with respect to perioperative antibiotic practices: 22.83, 29.10, 37.66 (× 1000 USD) for bundled compliance, missed preoperative antibiotics, and prolonged antibiotic administration, respectively.
CONCLUSIONS
Significant variation in ITBP antibiotic prophylaxis was found. Documented AP compliance was associated with higher value of care, showing favorable clinical and financial outcomes. Of most impact to clinical outcome, missed preoperative antibiotics was significantly associated with higher risk of 6-month surgical complication/infection. Prolonged antibiotic use was associated with significantly higher hospital costs compared with those with overall bundled antibiotic compliance. Future research is warranted to examine factors associated with practice variation and how AP compliance is associated with outcomes and quality, aiming for improving delivery of care to pediatric patients undergoing ITBP procedures.
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Affiliation(s)
- I-Wen Pan
- 1Department of Neurosurgery, Baylor College of Medicine, and
- 2Division of Pediatric Neurosurgery, Texas Children’s Hospital, Houston, Texas; and
| | - Grace M. Kuo
- 3Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California
| | - Thomas G. Luerssen
- 1Department of Neurosurgery, Baylor College of Medicine, and
- 2Division of Pediatric Neurosurgery, Texas Children’s Hospital, Houston, Texas; and
| | - Sandi K. Lam
- 1Department of Neurosurgery, Baylor College of Medicine, and
- 2Division of Pediatric Neurosurgery, Texas Children’s Hospital, Houston, Texas; and
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van Mourik MSM, van Duijn PJ, Moons KGM, Bonten MJM, Lee GM. Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review. BMJ Open 2015; 5:e008424. [PMID: 26316651 PMCID: PMC4554897 DOI: 10.1136/bmjopen-2015-008424] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Accepted: 08/07/2015] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE Measuring the incidence of healthcare-associated infections (HAI) is of increasing importance in current healthcare delivery systems. Administrative data algorithms, including (combinations of) diagnosis codes, are commonly used to determine the occurrence of HAI, either to support within-hospital surveillance programmes or as free-standing quality indicators. We conducted a systematic review evaluating the diagnostic accuracy of administrative data for the detection of HAI. METHODS Systematic search of Medline, Embase, CINAHL and Cochrane for relevant studies (1995-2013). Methodological quality assessment was performed using QUADAS-2 criteria; diagnostic accuracy estimates were stratified by HAI type and key study characteristics. RESULTS 57 studies were included, the majority aiming to detect surgical site or bloodstream infections. Study designs were very diverse regarding the specification of their administrative data algorithm (code selections, follow-up) and definitions of HAI presence. One-third of studies had important methodological limitations including differential or incomplete HAI ascertainment or lack of blinding of assessors. Observed sensitivity and positive predictive values of administrative data algorithms for HAI detection were very heterogeneous and generally modest at best, both for within-hospital algorithms and for formal quality indicators; accuracy was particularly poor for the identification of device-associated HAI such as central line associated bloodstream infections. The large heterogeneity in study designs across the included studies precluded formal calculation of summary diagnostic accuracy estimates in most instances. CONCLUSIONS Administrative data had limited and highly variable accuracy for the detection of HAI, and their judicious use for internal surveillance efforts and external quality assessment is recommended. If hospitals and policymakers choose to rely on administrative data for HAI surveillance, continued improvements to existing algorithms and their robust validation are imperative.
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Affiliation(s)
- Maaike S M van Mourik
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Pleun Joppe van Duijn
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Karel G M Moons
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marc J M Bonten
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Grace M Lee
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts, USA
- Division of Infectious Diseases, Boston Children's Hospital, Boston, Massachusetts, USA
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Incidence of Surgical Site Infection Following Mastectomy With and Without Immediate Reconstruction Using Private Insurer Claims Data. Infect Control Hosp Epidemiol 2015; 36:907-14. [PMID: 26036877 DOI: 10.1017/ice.2015.108] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE The National Healthcare Safety Network classifies breast operations as clean procedures with an expected 1%-2% surgical site infection (SSI) incidence. We assessed differences in SSI incidence following mastectomy with and without immediate reconstruction in a large, geographically diverse population. DESIGN Retrospective cohort study. PATIENTS Commercially insured women aged 18-64 years with ICD-9-CM procedure or CPT-4 codes for mastectomy from January 1, 2004 through December 31, 2011 METHODS: Incident SSIs within 180 days after surgery were identified by ICD-9-CM diagnosis codes. The incidences of SSI after mastectomy with and without immediate reconstruction were compared using the χ2 test. RESULTS From 2004 to 2011, 18,696 mastectomy procedures among 18,085 women were identified, with immediate reconstruction in 10,836 procedures (58%). The incidence of SSI within 180 days following mastectomy with or without reconstruction was 8.1% (1,520 of 18,696). In total, 49% of SSIs were identified within 30 days post-mastectomy, 24.5% were identified 31-60 days post-mastectomy, 10.5% were identified 61-90 days post-mastectomy, and 15.7% were identified 91-180 days post-mastectomy. The incidences of SSI were 5.0% (395 of 7,860) after mastectomy only, 10.3% (848 of 8,217) after mastectomy plus implant, 10.7% (207 of 1,942) after mastectomy plus flap, and 10.3% (70 of 677) after mastectomy plus flap and implant (P<.001). The SSI risk was higher after bilateral compared with unilateral mastectomy with immediate reconstruction (11.4% vs 9.4%, P=.001) than without (6.1% vs 4.7%, P=.021) immediate reconstruction. CONCLUSIONS SSI incidence was twice that after mastectomy with immediate reconstruction than after mastectomy alone. Only 49% of SSIs were coded within 30 days after operation. Our results suggest that stratification by procedure type facilitates comparison of SSI rates after breast operations between facilities.
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Hu Z, Simon GJ, Arsoniadis EG, Wang Y, Kwaan MR, Melton GB. Automated Detection of Postoperative Surgical Site Infections Using Supervised Methods with Electronic Health Record Data. Stud Health Technol Inform 2015; 216:706-10. [PMID: 26262143 PMCID: PMC5648590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The National Surgical Quality Improvement Project (NSQIP) is widely recognized as "the best in the nation" surgical quality improvement resource in the United States. In particular, it rigorously defines postoperative morbidity outcomes, including surgical adverse events occurring within 30 days of surgery. Due to its manual yet expensive construction process, the NSQIP registry is of exceptionally high quality, but its high cost remains a significant bottleneck to NSQIP's wider dissemination. In this work, we propose an automated surgical adverse events detection tool, aimed at accelerating the process of extracting postoperative outcomes from medical charts. As a prototype system, we combined local EHR data with the NSQIP gold standard outcomes and developed machine learned models to retrospectively detect Surgical Site Infections (SSI), a particular family of adverse events that NSQIP extracts. The built models have high specificity (from 0.788 to 0.988) as well as very high negative predictive values (>0.98), reliably eliminating the vast majority of patients without SSI, thereby significantly reducing the NSQIP extractors' burden.
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Affiliation(s)
- Zhen Hu
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
| | - Gyorgy J. Simon
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
| | - Elliot G. Arsoniadis
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA,Department of Surgery, University of Minnesota, Minneapolis, MN, USA
| | - Yan Wang
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
| | - Mary R. Kwaan
- Department of Surgery, University of Minnesota, Minneapolis, MN, USA
| | - Genevieve B. Melton
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA,Department of Surgery, University of Minnesota, Minneapolis, MN, USA
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Battles JB, Cleeman JI, Kahn KL, Weinberg DA. Introduction to "preventing healthcare-associated infections: results and lessons learned from AHRQ's HAI program". Infect Control Hosp Epidemiol 2014; 35 Suppl 3:S1-2. [PMID: 25222887 DOI: 10.1086/677817] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- James B Battles
- Agency for Healthcare Research and Quality, Rockville, Maryland
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