Browsing by Subject "Postoperative complications"

Now showing 1 - 10 of 18
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    A postdischarge venous thromboembolism risk calculator for inflammatory bowel disease surgery
    (Elsevier, 2021) Schlick, Cary Jo R.; Yuce, Tarik K.; Yang, Anthony D.; McGee, Michael F.; Bentrem, David J.; Bilimoria, Karl Y.; Merkow, Ryan P.; Surgery, School of Medicine
    Background: Guidelines recommend extended chemoprophylaxis for venous thromboembolism in high-risk patients having operations for inflammatory bowel disease. Quantifying patients' risk of venous thromboembolism, however, remains challenging. We sought (1) to identify factors associated with postdischarge venous thromboembolism in patients undergoing colorectal resection for inflammatory bowel disease and (2) to develop a postdischarge venous thromboembolism risk calculator to guide prescribing of extended chemoprophylaxis. Methods: Patients who underwent an operation for inflammatory bowel disease from 2012 to 2018 were identified from the American College of Surgeons National Surgical Quality Improvement Program for colectomy and proctectomy procedure targeted modules. Postdischarge venous thromboembolism included pulmonary embolism or deep vein thrombosis diagnosed after discharge from the index hospitalization. Multivariable logistic regression estimated the association of patient/operative factors with postdischarge venous thromboembolism. A postdischarge venous thromboembolism risk calculator was subsequently constructed. Results: Of 18,990 patients, 199 (1.1%) developed a postdischarge venous thromboembolism within the first 30 postoperative days. Preoperative factors associated with postdischarge venous thromboembolism included body mass index (1.9% with body mass index ≥35 vs 0.8% with body mass index 18.5-24.9; odds ratio 2.34 [95% confidence interval 1.49-3.67]), steroid use (1.3% vs 0.7%; odds ratio 1.91 [95% confidence interval 1.37-2.66]), and ulcerative colitis (1.5% vs 0.8% with Crohn's disease; odds ratio 1.76 [95% confidence interval 1.32-2.34]). Minimally invasive surgery was associated with postdischarge venous thromboembolism (1.2% vs 0.9% with open; odds ratio 1.42 [95% confidence interval 1.05-1.92]), as was anastomotic leak (2.8% vs 1.0%; odds ratio 2.24 [95% confidence interval 1.31-3.83]) and ileus (2.1% vs 0.9%; odds ratio 2.60 [95% confidence interval 1.91-3.54]). The predicted probability of postdischarge venous thromboembolism ranged from 0.2% to 14.3% based on individual risk factors. Conclusion: Preoperative, intraoperative, and postoperative factors are associated with postdischarge venous thromboembolism after an operation for inflammatory bowel disease. A postdischarge venous thromboembolism risk calculator was developed which can be used to tailor extended venous thromboembolism chemoprophylaxis by individual risk.
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    A Retrospective Review of 30-Day Hospital Readmission Risk After Open Heart Surgery in Patients With Atrial Fibrillation
    (Springer Nature, 2023-09-22) Rao, Varun; DeLeon, Genaro; Thamba, Aish; Flanagan, Mindy; Nickel, Kathleen; Gerue, Michael; Gray, Douglas; Neurological Surgery, School of Medicine
    Introduction: Readmission rates after open heart surgery (OHS) remain an important clinical issue. The causes are varied, with identifying risk factors potentially providing valuable information to reduce healthcare costs and the rate of post-operative complications. This study aimed to characterize the reasons for 30-day hospital readmission rates of patients after open heart surgery. Methods: All patients over 18 years of age undergoing OHS at a community hospital from January 2020 through December 2020 were identified. Demographic data, medical history, operative reports, post-operative complications, and telehealth interventions were obtained through chart review. Descriptive statistics and readmission rates were calculated, along with a logistic regression model, to understand the effects of medical history on readmission. Results: A total of 357 OHS patients met the inclusion criteria for the study. Within the population, 8.68% of patients experienced readmission, 10.08% had an emergency department (ED) visit, and 95.80% had an outpatient office visit. A history of atrial fibrillation (AFib) significantly predicted 30-day hospital readmissions but not ED or outpatient office visits. Telehealth education was delivered to 66.11% of patients. Conclusion: The study investigated factors associated with 30-day readmission following OHS. AFib patients were more likely to be readmitted than patients without atrial fibrillation. No other predictors of readmission, ED visits, or outpatient office visits were found. Patients reporting symptoms of tachycardia, pain, dyspnea, or "other" could be at increased risk for readmission.
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    Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study
    (Elsevier, 2021) Bonde, Alexander; Varadarajan, Kartik M.; Bonde, Nicholas; Troelsen, Anders; Muratoglu, Orhun K.; Malchau, Henrik; Yang, Anthony D.; Alam, Hasan; Sillesen, Martin; Surgery, School of Medicine
    Background: Early detection of postoperative complications, including organ failure, is pivotal in the initiation of targeted treatment strategies aimed at attenuating organ damage. In an era of increasing health-care costs and limited financial resources, identifying surgical patients at a high risk of postoperative complications and providing personalised precision medicine-based treatment strategies provides an obvious pathway for reducing patient morbidity and mortality. We aimed to leverage deep learning to create, through training on structured electronic health-care data, a multilabel deep neural network to predict surgical postoperative complications that would outperform available models in surgical risk prediction. Methods: In this retrospective study, we used data on 58 input features, including demographics, laboratory values, and 30-day postoperative complications, from the American College of Surgeons (ACS) National Surgical Quality Improvement Program database, which collects data from 722 hospitals from around 15 countries. We queried the entire adult (≥18 years) database for patients who had surgery between Jan 1, 2012, and Dec 31, 2018. We then identified all patients who were treated at a large midwestern US academic medical centre, excluded them from the base dataset, and reserved this independent group for final model testing. We then randomly created a training set and a validation set from the remaining cases. We developed three deep neural network models with increasing numbers of input variables and so increasing levels of complexity. Output variables comprised mortality and 18 different postoperative complications. Overall morbidity was defined as any of 16 postoperative complications. Model performance was evaluated on the test set using the area under the receiver operating characteristic curve (AUC) and compared with previous metrics from the ACS-Surgical Risk Calculator (ACS-SRC). We evaluated resistance to changes in the underlying patient population on a subset of the test set, comprising only patients who had emergency surgery. Results were also compared with the Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) calculator. Findings: 5 881 881 surgical patients, with 2941 unique Current Procedural Terminology codes, were included in this study, with 4 694 488 in the training set, 1 173 622 in the validation set, and 13 771 in the test set. The mean AUCs for the validation set were 0·864 (SD 0·053) for model 1, 0·871 (0·055) for model 2, and 0·882 (0·053) for model 3. The mean AUCs for the test set were 0·859 (SD 0·063) for model 1, 0·863 (0·064) for model 2, and 0·874 (0·061) for model 3. The mean AUCs of each model outperformed previously published performance metrics from the ACS-SRC, with a direct correlation between increasing model complexity and performance. Additionally, when tested on a subgroup of patients who had emergency surgery, our models outperformed previously published POTTER metrics. Interpretation: We have developed unified prediction models, based on deep neural networks, for predicting surgical postoperative complications. The models were generally superior to previously published surgical risk prediction tools and appeared robust to changes in the underlying patient population. Deep learning could offer superior approaches to surgical risk prediction in clinical practice.
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    Association of Preoperative Smoking with Complications Following Major Gastrointestinal Surgery
    (Elsevier, 2022) Brajcich, Brian C.; Yuce, Tarik K.; Merkow, Ryan P.; Bilimoria, Karl Y.; McGee, Michael F.; Zhan, Tiannan; Odell, David D.; Surgery, School of Medicine
    Background: Understanding modifiable surgical risk factors is essential for preoperative optimization. We evaluated the association between smoking and complications following major gastrointestinal surgery. Methods: Patients who underwent elective colorectal, pancreatic, gastric, or hepatic procedures were identified in the 2017 ACS NSQIP dataset. The primary outcome was 30-day death or serious morbidity (DSM). Secondary outcomes included pulmonary complications, wound complications, and readmission. Multivariable logistic regression was used to evaluate the association between smoking and these outcomes. Results: A total of 46,921 patients were identified, of whom 7,671 (16.3%) were smokers. Smoking was associated with DSM (23.2% vs. 20.4%, OR 1.15 [1.08-1.23]), wound complications (13.0% vs. 10.4%, OR 1.24 [1.14-1.34]), pulmonary complications (4.9% vs 2.9%, OR 1.93 [1.70-2.20]), and unplanned readmission (12.6% vs. 11%, OR 1.14 [95% CI 1.06-1.23]). Conclusions: Smoking is associated with complications following major gastrointestinal surgery. Patients who smoke should be counseled prior to surgery regarding risks.
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    Care guided by tissue oxygenation and haemodynamic monitoring in off-pump coronary artery bypass grafting (Bottomline-CS): assessor blind, single centre, randomised controlled trial
    (BMJ, 2025-03-24) Han, Jiange; Zhai, Wenqian; Wu, Zhenhua; Zhang, Zhao; Wang, Tao; Ren, Min; Liu, Ziyue; Sessler, Daniel I.; Guo, Zhigang; Meng, Lingzhong; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    Objective: To assess whether perioperative management guided by near-infrared spectroscopy to determine tissue oxygen saturation and haemodynamic monitoring reduces postoperative complications after off-pump coronary artery bypass grafting. Design: Assessor blinded, single centre, randomised controlled trial (Bottomline-CS trial). Setting: A tertiary teaching hospital in China. Participants: 1960 patients aged 60 years or older who were scheduled for elective off-pump coronary artery bypass grafting. Interventions: All patients had multisite monitoring of tissue oxygen saturation (bilateral forehead and unilateral forearm brachioradialis) and haemodynamic monitoring. Both groups received usual care, including arterial blood pressure, central venous pressure, electrocardiography, and transoesophageal echocardiography when indicated. Guided care aimed to maintain tissue oxygenation within 10% above or below preoperative baseline values, established 24-48 hours before surgery, from the start of anaesthesia until extubation or for up to 24 hours postoperatively. In the usual care group, tissue oximetry and haemodynamic data were concealed, and care was routine. Main outcome measures: The primary outcome was the incidence of a composite of 30 day postoperative complications, which were cerebral, cardiac, respiratory, renal, infectious, and mortality complications. Secondary outcomes included the individual components of the composite outcome, new-onset atrial fibrillation, and hospital length of stay. Results: Of 1960 patients randomly assigned, data from 967 guided care and 974 usual care patients were analysed. During anaesthesia, the area under the curve for tissue oxygen saturation measurements outside the plus and minus 10% baseline range was significantly smaller with guided care than only usual care: left forehead 32.4 versus 57.6 (%×min, P<0.001), right forehead 37.9 versus 62.6 (P<0.001), and forearm 14.8 versus 44.7 (P<0.001). The primary composite outcome occurred in 457/967 (47.3%) patients in the guided care group and 466/974 (47.8%) patients in the usual care group (unadjusted risk ratio 0.99 (95% confidence interval 0.90 to 1.08), P=0.83). No secondary outcomes differed significantly between groups. The largest observed difference was in incidence of pneumonia, which was less frequent in the guided care group (88/967, 9.1%) than in the usual care group (121/974, 12.4%) and not statistically significant after adjusting for multiple comparisons. Conclusions: Guided care by use of multisite near-infrared spectroscopy and haemodynamic monitoring effectively maintained tissue oxygenation near baseline levels compared with usual care. However, no clear evidence was noted that this approach reduced the incidence of major postoperative complications. These findings do not support the routine use of near-infrared spectroscopy and haemodynamic monitoring to maintain tissue oxygenation during off-pump coronary artery bypass grafting.
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    Complications at 10 Years of Follow-up in the Infant Aphakia Treatment Study
    (Elsevier, 2020-11) Plager, David A.; Bothun, Erick D.; Freedman, Sharon F.; Wilson, M. Edward; Lambert, Scott R.; Ophthalmology, School of Medicine
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    Cutaneous presentation of progressive disseminated histoplasmosis nine years after renal transplantation
    (Wiley, 2013) Rosado-Odom, Vera M.; Daoud, Jacques; Johnson, Raymond; Allen, Stephen D.; Lockhart, Shawn R.; Iqbal, Naureen; Shieh, Wun-Ju; Zaki, Sherif; Sharfuddin, Asif; Medicine, School of Medicine
    Initial presentation of invasive fungal infections such as histoplasmosis can include non-specific clinical manifestations, especially in immunocompromised patients. A high index of suspicion is required to identify atypical manifestations of these diseases, which carry a high risk of mortality, if the diagnosis is delayed or missed. We describe a case of a kidney transplant recipient with cutaneous lesions as initial manifestation of progressive disseminated histoplasmosis where a skin biopsy was crucial to an early diagnosis.
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    Depression and anxiety symptoms are related to pain and frailty but not cognition or delirium in older surgical patients
    (Wiley, 2021-06) Wang, Sophia; Cardieri, Brielle; Lin, Hung Mo; Liu, Xiaoyu; Sano, Mary; Deiner, Stacie G.; Psychiatry, School of Medicine
    Objective: In community dwelling older adults, depression and anxiety symptoms can be associated with early cognitive decline. Symptoms of depression and anxiety are common in older adults prior to surgery. However, their significance is unknown. Our objective was to determine whether preoperative depression and anxiety symptoms are associated with postoperative cognitive decline (POCD) and in-hospital delirium, in older surgical patients. Methods: We conducted a secondary data analysis of postoperative cognitive dysfunction in a cohort study of patients 65 and older undergoing elective noncardiac surgery. We used the Hospital Anxiety and Depression Scale (HADS) to screen for depression and anxiety symptoms at a home visit prior to surgery and 3 months after surgery. Patients with a history of psychiatric (major depressive disorder, bipolar disorder, and schizophrenia) or neurologic disorder (Parkinson's disease and stroke) were excluded from the parent study. Results: Out of the 167 patients, 9.6% (n = 16) reported significant depressive symptoms and 21.6% (n = 36) reported significant anxiety symptoms on preoperative screening. There was no association between preoperative or new-onset postoperative depression and anxiety symptoms and the incidence of delirium or POCD three months after surgery. Patients with preoperative depressive symptoms had higher preoperative pain (scores 69 vs. 35.7, p = .002) and frailty (56 vs. 14.6, p <.001). Conclusion: In our cohort, we did not detect an association between preoperative depression and anxiety symptoms and neurocognitive disorders. Preoperative depression and anxiety symptoms were related to physical pain and frailty. Taken together, these suggest that in patients without a formal psychiatric diagnosis, preoperative depression and anxiety symptoms are related to physical state rather than a harbinger of early cognitive decline. Future studies are needed to understand the nature of the relationship between depression and anxiety symptoms and physical state in surgical patients.
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    Dual antibiotic prevention bundle is associated with decreased surgical site infections
    (BMJ, 2020-09) Kuznicki, Michelle; Mallen, Adrianne; McClung, Emily Clair; Robertson, Sharon E.; Todd, Sarah; Boulware, David; Martin, Stacy; Quilitz, Rod; Vargas, Roberto J.; Apte, Sachin M.; Medicine, School of Medicine
    Background: Gynecologic oncology surgery is associated with a wide variation in surgical site infection risk. The optimal method for infection prevention in this heterogeneous population remains uncertain. Study design: A retrospective cohort study was performed to compare surgical site infection rates for patients undergoing hysterectomy over a 1-year period surrounding the implementation of an institutional infection prevention bundle. The bundle comprised pre-operative, intra-operative, and post-operative interventions including a dual-agent antibiotic surgical prophylaxis with cefazolin and metronidazole. Cohorts consisted of patients undergoing surgery during the 6 months prior to this intervention (pre-bundle) versus those undergoing surgery during the 6 months following the intervention (post-bundle). Secondary outcomes included length of stay, readmission rates, compliance measures, and infection microbiology. Data were compared with pre-specified one-sided exact test, Chi-square test, Fisher's exact test, or Kruskal-Wallis test as appropriate. Results: A total of 358 patients were included (178 PRE, 180 POST). Median age was 58 (range 23-90) years. The post-bundle cohort had a 58% reduction in surgical site infection rate, 3.3% POST vs 7.9% PRE (-4.5%, 95% CI -9.3% to -0.2%, p=0.049) as well as reductions in organ space infection, 0.6% POST vs 4.5% PRE (-3.9%, 95% CI -7.2% to -0.7%, p=0.019), and readmission rates, 2.2% POST vs 6.7% PRE (-4.5%, 95% CI -8.7% to -0.2%, p=0.04). Gram-positive, Gram-negative, and anaerobic bacteria were all prevalent in surgical site infection cultures. There were no monomicrobial infections in post-cohort cultures (0% POST vs 58% PRE, p=0.04). No infections contained methicillin-resistant Staphylococcus aureus. Conclusion: Implementation of a dual antibiotic infection prevention bundle was associated with a 58% reduction in surgical site infection rate after hysterectomy in a surgically diverse gynecologic oncology practice.
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    Effect of Delirium on Physical Function in Noncardiac Thoracic Surgery Patients
    (American Association of Critical-Care Nurses, 2020-03) Khan, Sikandar H.; Xu, Chenjia; Wang, Sophia; Gao, Sujuan; Lasiter, Sue; Kesler, Kenneth; Khan, Babar A.; Medicine, School of Medicine
    Background: The effect of delirium on physical function in patients undergoing noncardiac thoracic surgery has not been well described and may differ from that in other surgical populations. Objective: To determine the effects of delirium on muscle strength and functional independence. The primary end point was change in Medical Research Council sum score (MRC-SS) by delirium status. Methods: A secondary analysis of data from a clinical trial involving English-speaking adults aged 18 years or older who were undergoing major noncardiac thoracic surgery. Exclusion criteria were history of schizophrenia, Parkinson disease, dementia, alcohol abuse, or neuroleptic malignant syndrome; haloperidol allergy; being pregnant or nursing; QT prolongation; and taking levodopa or cholinesterase inhibitors. Delirium was assessed twice daily using the Confusion Assessment Method for the Intensive Care Unit. Preoperatively and postoperatively, muscle strength was assessed using the modified MRC-SS and functional independence was assessed using the Katz scale of activities of daily living. Changes in MRC-SS and Katz score by delirium status were analyzed using the Fisher exact test. Results: Seventy-three patients were included in the analysis. Median (interquartile range) MRC-SS and Katz score before surgery did not differ significantly between patients without and with delirium (MRC-SS: 30 [30-30] vs 30 [30-30], P > .99; Katz score: 6 [6-6] vs 6 [6-6], P = .63). The percentage of patients with a change in MRC-SS was similar in patients without and with delirium (17% vs 13%, respectively; P > .99). More patients in the delirium group had a change in Katz score (13% vs 0%, P = .04). Conclusions: Postoperative delirium was not associated with change in muscle strength. Follow-up studies using other muscle measures may be needed.