Caroline E. Jones

Postoperative 30-day Readmission: Time to Focus on What Happens Outside the Hospital.

Objective: The aim of this study is to understand the relative contribution of preoperative patient factors, operative characteristics, and postoperative hospital course on 30-day postoperative readmissions. Background: Determining the risk of readmission after surgery is difficult. Understanding the most important contributing factors is important to improving prediction of and reducing postoperative readmission risk. Methods: National Veterans Affairs Surgical Quality Improvement Program data on inpatient general, vascular, and orthopedic surgery from 2008 to 2014 were merged with laboratory, vital signs, prior healthcare utilization, and postoperative complications data. Variables were categorized as preoperative, operative, postoperative/predischarge, and postdischarge. Logistic models predicting 30-day readmission were compared using adjusted R2 and c-statistics with cross-validation to estimate predictive discrimination. Results: Our study sample included 237,441 surgeries: 43% orthopedic, 39% general, and 18% vascular. Overall 30-day unplanned readmission rate was 11.1%, differing by surgical specialty (vascular 15.4%, general 12.9%, and orthopedic 7.6%, P < 0.001). Most common readmission reasons were wound complications (30.7%), gastrointestinal (16.1%), bleeding (4.9%), and fluid/electrolyte (7.5%) complications. Models using information available at the time of discharge explained 10.4% of the variability in readmissions. Of these, preoperative patient-level factors contributed the most to predictive models (R2 7.0% [c-statistic 0.67]); prediction was improved by inclusion of intraoperative (R2 9.0%, c-statistic 0.69) and postoperative variables (R2 10.4%, c-statistic 0.71). Including postdischarge complications improved predictive ability, explaining 19.6% of the variation (R2 19.6%, c-statistic 0.76). Conclusions: Postoperative readmissions are difficult to predict at the time of discharge, and of information available at that time, preoperative factors are the most important.

Association of the Modified Frailty Index With 30-Day Surgical Readmission

Importance Frail patients are known to have poor perioperative outcomes. There is a paucity of literature investigating how the Modified Frailty Index (mFI), a validated measure of frailty, is associated with unplanned readmission among military veterans following surgery. Objective To understand the association between frailty and 30-day postoperative unplanned readmission. Design, Setting, and Participants A retrospective cohort study was conducted among adult patients who underwent surgery and were discharged alive from Veterans Affairs hospitals for orthopedic, general, and vascular conditions between October 1, 2007, and September 30, 2014, with a postoperative length of stay between 2 and 30 days. Exposure Frailty, as calculated by the 11 variables on the mFI. Main Outcomes and Measures The primary outcome of interest is 30-day unplanned readmission. Secondary outcomes included any 30-day predischarge or postdischarge complication, 30-day postdischarge mortality, and 30-day emergency department visit. Results The study sample included 236 957 surgical procedures (among 223 877 men and 13 080 women; mean [SD] age, 64.0 [11.3] years) from high-volume surgical specialties: 101 348 procedures (42.8%) in orthopedic surgery, 92 808 procedures (39.2%) in general surgery, and 42 801 procedures (18.1%) in vascular surgery. The mFI was associated with readmission (odds ratio [OR], 1.11; 95% CI, 1.10-1.12; R2 = 10.3%; C statistic, 0.71). Unadjusted rates of overall 30-day readmission (26 262 [11.1%]), postdischarge emergency department visit (34 204 [14.4%]), any predischarge (13 855 [5.9%]) or postdischarge (14 836 [6.3%]) complication, and postdischarge mortality (1985 [0.8%]) varied by frailty in a dose-dependent fashion. In analysis by individual mFI components using Harrell ranking, impaired functional status, identified as nonindependent functional status (OR, 1.16; 95% CI, 1.11-1.21; P < .01) or having a residual deficit from a prior cerebrovascular accident (OR, 1.17; 95% CI, 1.11-1.22; P < .01), contributed most to the ability of the mFI to anticipate readmission compared with the other components. Acutely impaired sensorium (OR, 1.12; 95% CI, 0.99-1.27; P = .08) and history of a myocardial infarction within 6 months (OR, 0.93; 95% CI, 0.81-1.06; P = .28) were not significantly associated with readmission. Conclusions and Relevance The mFI is associated with poor surgical outcomes, including readmission, primarily due to impaired functional status. Targeting potentially modifiable aspects of frailty preoperatively, such as improving functional status, may improve perioperative outcomes and decrease readmissions.

Association Between Preoperative Hemoglobin A1c Levels, Postoperative Hyperglycemia, and Readmissions Following Gastrointestinal Surgery

Importance Preoperative hyperglycemia is associated with adverse postoperative outcomes among patients who undergo surgery. Whether preoperative hemoglobin A1c (HbA1c) or postoperative glucose levels are more useful in predicting adverse events following surgery is uncertain in the current literature. Objective To examine the use of preoperative HbA1c and early postoperative glucose levels for predicting postoperative complications and readmission. Design, Setting, and Participants In this observational cohort study, inpatient gastrointestinal surgical procedures performed at 117 Veterans Affairs hospitals from 2007 to 2014 were identified, and cases of known infection within 3 days before surgery were excluded. Preoperative HbA1c levels were examined as a continuous and categorical variable (<5.7%, 5.7%-6.5%, and >6.5%). A logistic regression modeled postoperative complications and readmissions with the closest preoperative HbA1c within 90 days and the highest postoperative glucose levels within 48 hours of undergoing surgery. Main Outcomes and Measures Postoperative complications and 30-day unplanned readmission following discharge. Results Of 21 541 participants, 1193 (5.5%) were women, and the mean (SD) age was 63.7 (10.6) years. The cohort included 23 094 operations with measurements of preoperative HbA1c levels and postoperative glucose levels. The complication and 30-day readmission rates were 27.2% and 14.7%, respectively. In logistic regression models adjusting for HbA1c, postoperative glucose levels, postoperative insulin use, diabetes, body mass index (calculated as weight in kilograms divided by height in meters squared), and other patient and procedural factors, peak postoperative glucose levels of more than 250 mg/dL were associated with increased 30-day readmissions (odds ratio, 1.18; 95% CI, 0.99-1.41; P = .07). By contrast, a preoperative HbA1c of more than 6.5% was associated with decreased 30-day readmissions (odds ratio, 0.85; 95% CI, 0.74-0.96; P = .01). As preoperative HbA1c increased, the frequency of 48-hour postoperative glucose checks increased (4.92, 6.89, and 9.71 for an HbA1c <5.7%, 5.7%-6.4%, and >6.5%, respectively; P < .001). Patients with a preoperative HbA1c of more than 6.5% had lower thresholds for postoperative insulin use. Conclusions and Relevance Early postoperative hyperglycemia was associated with increased readmission, but elevated preoperative HbA1c was not. A higher preoperative HbA1c was associated with increased postoperative glucose level checks and insulin use, suggesting that heightened postoperative vigilance and a lower threshold to treat hyperglycemia may explain this finding.

Association of Postoperative Readmissions With Surgical Quality Using a Delphi Consensus Process to Identify Relevant Diagnosis Codes

Importance Postoperative readmission data are used to measure hospital performance, yet the extent to which these readmissions reflect surgical quality is unknown. Objective To establish expert consensus on whether reasons for postoperative readmission are associated with the quality of surgery in the index admission. Design, Setting, and Participants In a modified Delphi process, a panel of 14 experts in medical and surgical readmissions comprising physicians and nonphysicians from Veterans Affairs (VA) and private-sector institutions reviewed 30-day postoperative readmissions from fiscal years 2008 through 2014 associated with inpatient surgical procedures performed at a VA medical center between October 1, 2007, and September 30, 2014. The consensus process was conducted from January through May 2017. Reasons for readmission were grouped into categories based on International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Panelists were given the proportion of readmissions coded by each reason and median (interquartile range) days to readmission. They answered the question, “Does the readmission reason reflect possible surgical quality of care problems in the index admission?” on a scale of 1 (never related) to 5 (directly related) in 3 rounds of consensus building. The consensus process was completed in May 2017 and data were analyzed in June 2017. Main Outcomes and Measures Consensus on proportion of ICD-9–coded readmission reasons that reflected quality of surgical procedure. Results In 3 Delphi rounds, the 14 panelists achieved consensus on 50 reasons for readmission; 12 panelists also completed group telephone calls between rounds 1 and 2. Readmissions with diagnoses of infection, sepsis, pneumonia, hemorrhage/hematoma, anemia, ostomy complications, acute renal failure, fluid/electrolyte disorders, or venous thromboembolism were considered associated with surgical quality and accounted for 25 521 of 39 664 readmissions (64% of readmissions; 7.5% of 340 858 index surgical procedures). The proportion of readmissions considered to be not associated with surgical quality varied by procedure, ranging from to 21% (613 of 2331) of readmissions after lower-extremity amputations to 47% (745 of 1598) of readmissions after cholecystectomy. Conclusions and Relevance One-third of postoperative readmissions are unlikely to reflect problems with surgical quality. Future studies should test whether restricting readmissions to those with specific ICD-9 codes might yield a more useful quality measure.

Evolution of Operative Technique for Mastectomy

The radical mastectomy was the mainstay of breast cancer treatment through the majority of the twentieth century. However, as the understanding of breast cancer increased, the indications for more extensive surgical intervention decreased. The mastectomy has evolved so that skin-sparing or nipple-sparing mastectomy can be performed in the majority of women who undergo mastectomy currently. Today, nearly 40% of all women undergo mastectomy for breast cancer. The improved cosmetic appearance associated with skin- or nipple-sparing mastectomies does not compromise oncologic outcomes.

Association Between Preoperative Proteinuria and Postoperative Acute Kidney Injury and Readmission

Importance Proteinuria indicates renal dysfunction and is a risk factor for morbidity among medical patients, but less is understood among surgical populations. There is a paucity of studies investigating how preoperative proteinuria is associated with surgical outcomes, including postoperative acute kidney injury (AKI) and readmission. Objective To assess preoperative urine protein levels as a biomarker for adverse surgical outcomes. Design, Setting, and Participants A retrospective, population-based study was conducted in a cohort of patients with and without known preoperative renal dysfunction undergoing elective inpatient surgery performed at 119 Veterans Affairs facilities from October 1, 2007, to September 30, 2014. Data analysis was conducted from April 4 to December 1, 2016. Preoperative dialysis, septic, cardiac, ophthalmology, transplantation, and urologic cases were excluded. Exposures Preoperative proteinuria as assessed by urinalysis using the closest value within 6 months of surgery: negative (0 mg/dL), trace (15-29 mg/dL), 1+ (30-100 mg/dL), 2+ (101-300 mg/dL), 3+ (301-1000 mg/dL), and 4+ (>1000 mg/dL). Main Outcomes and Measures Primary outcome was postoperative predischarge AKI and 30-day postdischarge unplanned readmission. Secondary outcomes included any 30-day postoperative outcome. Results Of 346 676 surgeries, 153 767 met inclusion criteria, with the majority including orthopedic (37%), general (29%), and vascular procedures (14%). Evidence of proteinuria was shown in 43.8% of the population (trace: 20.6%, 1+: 16.0%, 2+: 5.5%, 3+: 1.6%) with 20.4%, 14.9%, 4.3%, and 0.9%, respectively, of the patients having a normal preoperative estimated glomerular filtration rate (eGFR). In unadjusted analysis, preoperative proteinuria was significantly associated with postoperative AKI (negative: 8.6%, trace: 12%, 1+: 14.5%, 2+: 21.2%, 3+: 27.6%; P < .001) and readmission (9.3%, 11.3%, 13.3%, 15.8%, 17.5%, respectively, P < .001). After adjustment, preoperative proteinuria was associated with postoperative AKI in a dose-dependent relationship (trace: odds ratio [OR], 1.2; 95% CI, 1.1-1.3, to 3+: OR, 2.0; 95% CI, 1.8-2.2) and 30-day unplanned readmission (trace: OR, 1.0; 95% CI, 1.0-1.1, to 3+: OR, 1.3; 95% CI, 1.1-1.4). Preoperative proteinuria was associated with AKI independent of eGFR. Conclusions and Relevance Proteinuria was associated with postoperative AKI and 30-day unplanned readmission independent of preoperative eGFR. Simple urine assessment for proteinuria may identify patients at higher risk of AKI and readmission to guide perioperative management.