Surgical risk assessment in Hiv-infected patients treated within the penitentiary system of Kemerovo region

Aim. To assess the surgical risk in HIV-infected patients who received the surgical treatment within the penitentiary system of Kemerovo Region.Materials and Methods. We retrospectively analysed the physical status and the extent of surgical risk in 296 HIV-infected patients who underwent elective (n = 201) or emergency (n = 95) surgery in Hospital №1 (Kemerovo) from 2015 to 2018. Physical status was assessed according to American Society of Anesthesiologists (ASA) Physical Status Classification System. Surgical risk was scored according to Moscow Scientific Society of Anesthesiologists and Critical Care.Results. The majority of patients had 3 (48.4 and 36.3% in emergency and elective patients, respectively) or 4a (30.5 and 45.8% in emergency and elective patients, respectively) stages of HIV infection. Opportunistic infections were diagnosed in 49.3% of patients and were always accompanied by superficial mycoses. Physical status of most patients (47.4% and 63.7% in emergency and elective patients, respectively) corresponded to ASA physical status class 3. Emergency patients mainly had surgical risk class 3 (n = 50, 52.6%) while elective patients often had surgical risk class 2 (n = 106, 52.7%). The prevalence of postoperative complications, most often impaired wound healing, was 9.8%.Conclusion. More than 80% of HIV-infected patients who underwent surgical interventions within the penitentiary system of Kuzbass were at III or IV stages of HIV infection, entailing a high frequency of opportunistic diseases such as superficial mycoses and dictating the need to include antifungal treatment into the surgical treatment. Impaired wound healing was the most frequent postoperative complication.

Using Nomograms to Predict the PPCs of Patients With Diffuse Peritonitis Undergoing Emergency Gastrointestinal Surgery

Objective: To develop and validate a nomogram model for predicting postoperative pulmonary complications (PPCs) in patients with diffuse peritonitis undergoing emergency gastrointestinal surgery.Methods: We used the least absolute shrinkage and selection operator (LASSO) regression model to analyze the independent risk factors for PPCs in patients with diffuse peritonitis who underwent emergency gastrointestinal surgery. Using R, we developed and validated a nomogram model for predicting PPCs in patients with diffuse peritonitis undergoing emergency gastrointestinal surgery.Results: The LASSO regression analysis showed that AGE, American Society of Anesthesiologists physical status classification (ASA), DIAGNOSIS, platelets (on the 3rd day after surgery), cholesterol (on the 3rd day after surgery), ALBUMIN (on the first day after surgery), and preoperative ALBUMIN were independent risk factors for PPCs in patients with diffuse peritonitis undergoing emergency gastrointestinal surgery. The area under the curve (AUC) value of the nomogram model in the training group was 0.8240; its accuracy was 0.7000, and its sensitivity was 0.8658. This demonstrates that the nomogram has a high prediction value. Also in the test group, the AUC value of the model established by the variables AGE, ASA, and platelets (on the 3rd day after surgery), cholesterol (on the 3rd day after surgery), ALBUMIN (on the first day after surgery), and preoperative ALBUMIN was 0.8240; its accuracy was 0.8000; and its specificity was 0.8986. In the validation group, the same results were obtained. The results of the clinical decision curve show that the benefit rate was also high.Conclusion: Based on the risk factors AGE, ASA, DIAGNOSIS, platelets (on the 3rd day after surgery), cholesterol (on the 3rd day after surgery), ALBUMIN (on the first day after surgery), and preoperative ALBUMIN, the nomogram model established in this study for predicting PPCs in patients with diffuse peritonitis undergoing emergency gastrointestinal surgery has high accuracy and discrimination.

ASA Physical Status Classification and Complications Following Facial Fracture Repair

Background: To investigate the association between American Society of Anesthesiologists (ASA) physical status classification and rates of postoperative complications in patients undergoing facial fracture repair. Methods: Patients were divided into 2 cohorts based on the ASA classification system: Class I/II and Class III/IV. Chi-square and Fisher’s exact tests were used for univariate analyses. Multivariate logistic regressions were used to assess the independent associations of covariates on postoperative complication rates. Results: A total of 3575 patients who underwent facial fracture repair with known ASA classification were identified. Class III/IV patients had higher rates of deep surgical site infection ( P = .012) as well as bleeding, readmission, reoperation, surgical, medical, and overall postoperative complications ( P < .001). Multivariate regression analysis found that Class III/IV was significantly associated with increased length of stay ( P < .001) and risk of overall complications ( P = .032). Specifically, ASA Class III/IV was associated with increased rates of deep surgical site infection ( P = .049), postoperative bleeding ( P = .036), and failure to wean off ventilator ( P = .027). Conclusions: Higher ASA class is associated with increased length of hospital stay and odds of deep surgical site infection, bleeding, and failure to wean off of ventilator following facial fracture repair. Surgeons should be aware of the increased risk for postoperative complications when performing facial fracture repair in patients with high ASA classification.

A multicenter cohort study of early complications after cranioplasty: results of the German Cranial Reconstruction Registry

OBJECTIVE Cranioplasty (CP) is a crucial procedure after decompressive craniectomy and has a significant impact on neurological improvement. Although CP is considered a standard neurosurgical procedure, inconsistent data on surgery-related complications after CP are available. To address this topic, the authors analyzed 502 patients in a prospective multicenter database (German Cranial Reconstruction Registry) with regard to early surgery-related complications. METHODS Early complications within 30 days, medical history, mortality rates, and neurological outcome at discharge according to the modified Rankin Scale (mRS) were evaluated. The primary endpoint was death or surgical revision within the first 30 days after CP. Independent factors for the occurrence of complications with or without surgical revision were identified using a logistic regression model. RESULTS Traumatic brain injury (TBI) and ischemic stroke were the most common underlying diagnoses that required CP. In 230 patients (45.8%), an autologous bone flap was utilized for CP; the most common engineered materials were titanium (80 patients [15.9%]), polyetheretherketone (57 [11.4%]), and polymethylmethacrylate (57 [11.4%]). Surgical revision was necessary in 45 patients (9.0%), and the overall mortality rate was 0.8% (4 patients). The cause of death was related to ischemia in 2 patients, diffuse intraparenchymal hemorrhage in 1 patient, and cardiac complications in 1 patient. The most frequent causes of surgical revision were epidural hematoma (40.0% of all revisions), new hydrocephalus (22.0%), and subdural hematoma (13.3%). Preoperatively increased mRS score (OR 1.46, 95% CI 1.08–1.97, p = 0.014) and American Society of Anesthesiologists Physical Status Classification System score (OR 2.89, 95% CI 1.42–5.89, p = 0.003) were independent predictors of surgical revision. Ischemic stroke, as the underlying diagnosis, was associated with a minor rate of revisions compared with TBI (OR 0.18, 95% CI 0.06–0.57, p = 0.004). CONCLUSIONS The authors have presented class II evidence–based data on surgery-related complications after CP and have identified specific preexisting risk factors. These results may provide additional guidance for optimized treatment of these patients.

NCOG-05. RISK FACTORS FOR PROLONGED LENGTH OF STAY AND POSTOPERATIVE COMPLICATIONS IN PATIENTS WITH INTRAMEDULLARY SPINAL CORD TUMORS

INTRODUCTION Primary spine tumors are rare neoplasms that affect about 0.62 per 100,000 individuals in the US. Intramedullary spinal cord tumors (IMSCTs) are the rarest of all primary tumors involving the spine and can cause pain, imbalance, urinary dysfunction and neurological deficits. These types of tumors oftentimes necessitate surgical treatment, yet there is a lack of data on length of stay and complication rates following treatment. Given that treatment candidacy, quality of life, and outcomes are tied so closely to these metrics, it is important to illustrate the risk factors for prolonged length of stay and their association with post-op complications with the ultimate goal of improving patient selection and preoperative optimization. METHODS The National Surgical Quality Improvement Program (NSQIP) database was queried for all patients undergoing surgery for treatment of intramedullary spinal cord tumors between 2005 and 2017. Univariate and multivariate analysis were performed to assess patient risk factor influencing prolonged length of stay and post-op complications. RESULTS A total of 638 patients were included in the analysis. Pre-operative American Society of Anesthesiology (ASA) physical status classification of 3 and above ( OR 1.89; p=0.0005), dependent functional status ( OR 2.76; p=0.0035) and transfer from facilities other than home ( OR 8.12; p&lt; 0.0001) were independent predictors of prolonged length of stay ( &gt;5 days). The most commonly reported complications were pneumonia (5.7%), urinary tract infection (9.4%), septic shock (3.8%), superficial incisional infection (5.7%), organ or space infection (5.7%), pulmonary embolism (11.3%), DVT requiring therapy (15.1%) and wound dehiscence (5.7%). CONCLUSION Our study demonstrated the significant influence of clinical variables on prolonged hospitalization of IMSCT patients. This should be factored into clinical and surgical decision making and when counseling patients of their expected outcomes.

Spinal anesthesia in contemporary and complex lumbar spine surgery: experience with 343 cases

OBJECTIVE Spinal anesthesia (SA) is an alternative to general anesthesia (GA) for lumbar spine surgery, including complex instrumented fusion, although there are relatively few outcome data available. The authors discuss their experience using SA in a modern complex lumbar spine surgery practice to describe its utility and implementation. METHODS Data from patients receiving SA for lumbar spine surgery by one surgeon from March 2017 to December 2020 were collected via a retrospective chart review. Cases were divided into nonfusion and fusion procedure categories and analyzed for demographics and baseline medical status; pre-, intra-, and postoperative events; hospital course, including Acute Pain Service (APS) consults; and follow-up visit outcome data. RESULTS A total of 345 consecutive lumbar spine procedures were found, with 343 records complete for analysis, including 181 fusion and 162 nonfusion procedures and spinal levels from T11 through S1. The fusion group was significantly older (mean age 65.9 ± 12.4 vs 59.5 ± 15.4 years, p < 0.001) and had a significantly higher proportion of patients with American Society of Anesthesiologists (ASA) Physical Status Classification class III (p = 0.009) than the nonfusion group. There were no intraoperative conversions to GA, with infrequent need for a second dose of SA preoperatively (2.9%, 10/343) and rare preoperative conversion to GA (0.6%, 2/343) across fusion and nonfusion groups. Rates of complications during hospitalization were comparable to those seen in the literature. The APS was consulted for 2.9% (10/343) of procedures. An algorithm for the integration of SA into a lumbar spine surgery practice, from surgical and anesthetic perspectives, is also offered. CONCLUSIONS SA is a viable, safe, and effective option for lumbar spine surgery across a wide range of age and health statuses, particularly in older patients and those who want to avoid GA. The authors’ protocol, based in part on the largest set of data currently available describing complex instrumented fusion surgeries of the lumbar spine completed under SA, presents guidance and best practices to integrate SA into contemporary lumbar spine practices.

COMPARATIVE EVALUATION OF EFFECTIVENESS OF CASEIN PHOSPHOPEPTIDE AMORPHOROUS CALCIUM PHOSPHATE AND SODIUM FLOURIDE VARNISH IN DENTINE HYPERSENTIVITY

Objective: To determine efficacy of casein phosphopeptide amorphous calcium phosphate and sodium fluoride varnish in managing dentine hypersentivity. Study Design: Quasi-experimental study. Place and Duration of Study: Foundation University College of Dentistry, Islamabad, from Jun to Nov 2020. Methodology: Patients of both gender 20-60 years of age with ASA “American Society of Anesthesiologists physical status classification” status I (completely healthy fit patient) or status II (patient has mild systemic disease) diagnosed with dentine hypersensitivity of incisors, canines, premolars with clinical evidence of erosion, abrasion, gingival recession not requiring restorative treatment were enrolled in the study. At first visit baseline, dentine hypersentivity was recorded by means of tactile and evaporative stimuli, response was quantified using visual analogue scale. Patients were randomly divided in two groups 1-casein phosphopeptide amorphous calcium phosphate, 2-sodium fluoride varnish desensitizing agent was applied conferring to manufacturer instructions. Visual analogue scale readings were assessed at base line and post treatment valueswas recorded at 7th, 15th, 30th day. Results: Total 80 patients enrolled in the study with a mean age of 36.26 ± 8.91 years and age-range of 21-60 years. Visual analogue scale results of group-1 (n=40) were recorded at baseline as 5.9 ± 0 .94, 7th day 1.9 ± 0.92, 15th day 1.4 ± 0 .81 and 30th day 1.0 ± 0.71. In case of group-2 Visual Analogue Score recorded to be 6.2 ± 1.24,3.2 ± 0.81, 3.0 ± 0.52 and 2.7 ± 1.12 at baseline, 7th, 15th, and 30th day respectively. Conclusion: Casein phosphopeptide amorphous..................

Utilization of comorbidity indices to predict discharge destination and complications following total shoulder arthroplasty

Background Comorbidity indices can help identify patients at risk for postoperative complications. Purpose of this study was to compare different comorbidity indices to predict discharge destination and complications after shoulder arthroplasty. Methods Retrospective review of institutional shoulder arthroplasty database of primary anatomic (TSA) and reverse (RSA) shoulder arthroplasties. Patient demographic information was collected in order to calculate Modified Frailty Index (mFI-5), Charlson Comorbidity Index (CCI), age adjusted CCI (age-CCI), and American Society of Anesthesiologists physical status classification system (ASA). Statistical analysis performed to analyze length of stay (LOS), discharge destination, and 90-day complications. Results There were 1365 patients included with 672 TSA and 693 RSA patients. RSA patients were older and had higher CCI, age adjusted CCI, ASA, and mFI-5 ( p < 0.001). RSA patients had longer lengths of stay (LOS), more likely to have an adverse discharge ( p < 0.001), and higher reoperation rate ( p = 0.003). Age-CCI was most predictive of adverse discharge (AUC 0.721, 95% CI 0.704–0.768). Discussion Patients undergoing RSA had more medical comorbidities, experienced greater LOS, higher reoperation rate, and were more likely to have an adverse discharge. Age-CCI had the best ability to predict which patients were likely to require higher-level discharge planning.

Machine learning algorithm to perform ASA Physical Status Classification

BackgroundThe American Society of Anesthesiologists (ASA) Physical Status Classification System defines peri-operative patient scores as 1 (healthy) thru 6 (brain dead). The scoring is used by the anesthesiologists to classify surgical patients based on co-morbidities and various clinical characteristics. The classification is always done by an anesthesiologist prior operation. There is a variability in scoring stemming from individual experiences / biases of the scoring anesthesiologists, which impacts prediction of operating times, length of stay in the hospital, necessity of blood transfusion, etc. In addition, the score affects anesthesia coding and billing. It is critical to remove subjectivity from the process to achieve reproducible generalizable scoring.MethodsA machine learning (ML) approach was used to associate assigned ASA scores with peri-operative patients’ clinical characteristics. More than ten ML algorithms were simultaneously trained, validated, and tested with retrospective records. The most accurate algorithm was chosen for a subsequent test on an independent dataset. DataRobot platform was used to run and select the ML algorithms. Manual scoring was also performed by one anesthesiologist. Intra-class correlation coefficient (ICC) was calculated to assess the consistency of scoringResultsRecords of 19,095 procedures corresponding to 12,064 patients with assigned ASA scores by 17 City of Hope anesthesiologists were used to train a number of ML algorithms (DataRobot platform). The most accurate algorithm was tested with independent records of 2325 procedures corresponding to 1999 patients. In addition, 86 patients from the same dataset were scored manually. The following ICC values were computed: COH anesthesiologists vs. ML – 0.427 (fair); manual vs. ML – 0.523 (fair-to-good); manual vs. COH anesthesiologists – 0.334 (poor).ConclusionsWe have shown the feasibility of using ML for assessing the ASA score. In principle, a group of experts (i.e. physicians, institutions, etc.) can train the ML algorithm such that individual experiences and biases would cancel each leaving the objective ASA score intact. As more data are being collected, a valid foundation for refinement to the ML will emerge.