Preoperative Scoring Research Articles

A prospective study on clinico-radiological factors predicting difficult laparoscopic cholecystectomy in our institute

To assess clinical and radiological factors that predict difficult laparoscopic cholecystectomy. Laparoscopic cholecystectomy is a complex surgical procedure involving anatomical variations, adhesions, and gall bladder contracting. Preoperative assessment is crucial for identifying risks and improving post-operative outcomes. The study identifies clinico-radiological factors predicting difficult laparoscopic cholecystectomy, improving preoperative planning, reducing conversion rates, and optimizing surgical preparedness and patient counseling for safer, more efficient practices. A prospective observational study was conducted at the Department of General Surgery, Integral Institute of Medical Sciences and Research in Lucknow, involving 90 patients selected for Elective Laparoscopic Cholecystectomy and those with ultrasonographic ally proven cholelithiasis, excluding those with significant co-morbid illnesses or not fit for pneumoperitoneum creation. The study utilized IBM SPSS Stats 25.0 software for data analysis, presenting continuous data as mean±standard deviation and categorical/qualitative data as numbers and percentages. Total 90 patients aged 15-70, with a majority female (77.8%), and a mean BMI of 18.5-30.0 kg/m2, with 48 patients under 25 kg/m2. A pre-operative scoring system for difficult laparoscopic cholecystectomy was developed using demographic, clinical, laboratory, and USG findings. The system ranged from 0-5 to 11-15 difficult surgeries, with a mean predictive score of 0-7. Most surgeries were predicted as easy, followed by difficult (18.9%) and very difficult (5.6%). Factors like age, BMI, hospitalization history, comorbidities, and abdominal scars were associated with ease of surgery. The study assessed 90 patients aged 15-70 for difficult laparoscopic cholecystectomy procedures using a difficulty predicting scoring system, identifying factors like age, sex, hospitalization history, and BMI.

Prediction of axillary nodal burden using preoperative magnetic resonance imaging scoring in patients with clinically node-negative breast cancer: a retrospective cohort study.

Axillary lymph node metastasis (ALNM) is a significant predictor of overall patient survival; thus, precise evaluation of ALNM is essential for staging breast cancer, informing multimodal treatment strategies, and ensuring optimal patient care. This study aimed to establish a magnetic resonance imaging (MRI) scoring system for predicting extensive axillary nodal metastasis in patients with clinically node-negative breast cancer derived from preoperative breast and axillary MRI. This study included 226 patients with clinically node-negative breast cancer who underwent preoperative breast and axillary MRI between January 1, 2010 and December 31, 2020 at King Chulalongkorn Memorial Hospital. Their clinical, radiological, and pathological features were retrospectively reviewed. MRI characteristics of breast tumors and axillary lymph nodes (LNs) were assessed. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Cohen's Kappa coefficient of the scoring system were evaluated. The receiver operating characteristic curve was used to determine the cutoff value for the MRI scoring system to differentiate extensive ALNM from nonextensive ALNM. Of the 226 patients, 144 had cancer-free axilla, 51 had 1-2 positive metastatic LNs, and 31 had ≥3 positive metastatic LNs. Moreover, only 60 could be evaluated for the apparent diffusion coefficient (ADC) value of LNs because of size limitations. The cutoff value for the MRI scoring system with ADC was 14 (NPV =87.1% with moderately acceptable discrimination), and the cutoff value without ADC was 8 (sensitivity =77.4%; specificity =81%; PPV =39.3%; NPV =95.8% with moderately acceptable discrimination). The MRI scoring system using breast and axillary LN characteristics from preoperative MRI may help predict extensive ALNM and aid axillary nodal treatment selection.

A Novel Preoperative Scoring System to Accurately Predict Cord-Level Intraoperative Neuromonitoring Data Loss During Spinal Deformity Surgery: A Machine-Learning Approach.

An accurate knowledge of a patient's risk of cord-level intraoperative neuromonitoring (IONM) data loss is important for an informed decision-making process prior to deformity correction, but no prediction tool currently exists. A total of 1,106 patients with spinal deformity and 205 perioperative variables were included. A stepwise machine-learning (ML) approach using random forest (RF) analysis and multivariable logistic regression was performed. Patients were randomly allocated to training (75% of patients) and testing (25% of patients) groups. Feature score weights were derived by rounding up the regression coefficients from the multivariable logistic regression model. Variables in the final scoring calculator were automatically selected through the ML process to optimize predictive performance. Eight features were included in the scoring system: sagittal deformity angular ratio (sDAR) of ≥15 (score = 2), type-3 spinal cord shape (score = 2), conus level below L2 (score = 2), cervical upper instrumented vertebra (score = 2), preoperative upright largest thoracic Cobb angle of ≥75° (score = 2), preoperative lower-extremity motor deficit (score = 2), preoperative upright largest thoracic kyphosis of ≥80° (score = 1), and total deformity angular ratio (tDAR) of ≥25 (score = 1). Higher cumulative scores were associated with increased rates of cord-level IONM data loss: patients with a cumulative score of ≤2 had a cord-level IONM data loss rate of 0.9%, whereas those with a score of ≥7 had a loss rate of 86%. When evaluated in the testing group, the scoring system achieved an accuracy of 93%, a sensitivity of 75%, a specificity of 94%, and an AUC (area under the receiver operating characteristic curve) of 0.898. This is the first study to provide an ML-derived preoperative scoring system that predicts cord-level IONM data loss during pediatric and adult spinal deformity surgery with >90% accuracy. Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

11669 Comparison Between Laparoscopic Findings and Preoperative MR Imaging-Based Scoring Defined by AAGL 2021 Endometriosis Classification

11669 Comparison Between Laparoscopic Findings and Preoperative MR Imaging-Based Scoring Defined by AAGL 2021 Endometriosis Classification

Preoperative scoring system for the prediction of risk of lymph node metastasis in cervical cancer

The study aimed to develop and validate a preoperative scoring system to predict the risk of lymph node metastasis (LNM) in cervical cancer (CC). A total of 426 stage IB1–IIA1 CC patients were randomly divided into two sets. A logistic regression model was used to determine independent factors that contribute to LNM. A preoperative scoring system was developed based on beta (β) coefficients. An area under the receiver operating curve (AUC) was used to test for model discrimination. Five-year overall survival (OS) rate was 91.7%. Multivariable logistic regression analysis showed that FIGO stage, tumor size, depth of invasion on MRI, and squamous cell carcinoma antigen levels were independent risk factors in the development set (all P < 0.05). The AUCs of the scoring system for the development and validation sets were 0.833 (95% CI = 0.757–0.909) and 0.767 (95% CI = 0.634–0.891), respectively. Patients who scored 0–2, 3–5, and 6–8 were classified into low-risk, medium-risk, and high-risk groups. Predicted rates were in accord with observed rates in both sets. The 5-year OS rates of the new groups were also significantly different for the entire group, development set, and validation set (all P < 0.05). LNM affects the prognosis of CC patients. The scoring system can be used to assist in evaluating the risk of LNM in CC patients preoperatively. It is easy to obtain and can provide reference for clinical treatment decision-making.

Accuracy of Preoperative Scoring System in Prediction of Postoperative Survival in Patients with Metastatic Bone Disease: A Systematic Review and Meta-Analysis

Abstract Background Management of patients with metastatic bone disease for which there is risk of pathological fracture remains a clinical challenge. Surgeries performed in cancer patients are procedures at a high risk of thromboembolic and infectious complications. Expected survival is the most important factor to determine the treatment modality. This study evaluated preoperative different survival scores in metastatic bone disease surgery. Methods An electronic search of medical literature was conducted through MEDLINE (accessed via Ovid), EMBASE (accessed via Ovid), and PubMed. We performed a systematic review for studies involving prognostic scores that assessed the survival rates of patients with bone metastases. Further, we conducted a meta-analysis including studies that measured the sensitivity and specificity of the Tokuhashi and Tomita score in predicting 6- month survival rates for spinal metastases. Results A total of 68 studies were included in our study; of them, 35 studies were included in the meta-analysis. Sensitivities ranged from 27 to 92% for the Tokuhashi score and from 76 to 99% for the Tomita score, and specificities ranged from 44 to 96% for the Tokuhashi score and from 1 to 44% for the Tomita score. The pooled DOR was 6.04 (95 % CI, 3.96– 9.21; Tau-squared= 0.90; I2= 86%) for the Tokuhashi score and 1.34 (95 % CI, 0.67–2.67; Tau-squared = 1.02; I2= 85%) for the Tomita score. The SORG Nomogram, developed in a large surgical cohort, showed good discrimination on 3-month and 1-year survival, good calibration and was superior in direct comparison with low risk of bias and low concern regarding applicability. PATHFx 3.0, 2013-SPRING and potentially Optimodel were found to be the best models in terms of performance in predicting survival for surgery for extremity metastasis. Conclusion Regarding spinal metastases, the SORG Nomogram and machine learning algorithms showed better performance in survival prediction for surgery. Regarding extremity metastases, we found PATHFx 3.0, 2013-SPRING and Optimodel to be the best models in terms of performance. Although Tokuhashi score was more accurate than Tomita score slightly, both showed low accuracy to predict 6 months residual survival.

The preoperative scoring system combining neutrophil/lymphocyte ratio and CA19-9 predicts the long-term prognosis of intrahepatic cholangiocarcinoma patients undergoing curative liver resection

BackgroundThis study aims to investigate preoperative prognostic factors available for intrahepatic cholangiocarcinoma (ICC) patients and propose a new preoperative prognostic scoring system for ICC that combines CA19-9 and neutrophil/lymphocyte ratio (NLR).MethodsIn this retrospective analysis, 1728 patients diagnosed with ICC and undergoing curative liver resections were studied. This study employed univariate and multivariate Cox regression to find factors affecting recurrence and overall survival (OS), and furthermore assessed how preoperative models influenced tumor traits and postoperative recurrence.ResultsThe results of the multivariate Cox regression analysis indicated that two preoperative variables, NLR and Ca19-9, were independent risk factors affecting postoperative recurrence and OS in ICC patients. Based on this data, assigning a score of 0 (NLR ≤ 2.4 and Ca19-9 ≤ 37U/ml) or 1 (NLR > 2.4 and Ca19-9 > 37U/ml) to these two factors, a preoperative prognostic score was derived. According to the scoring model, patients were divided into three groups: 0 points (low-risk group), 1 point (intermediate-risk group), and 2 points (high-risk group). The 5-year recurrence and OS rates for the three groups were 56.6%, 68.2%, 77.8%, and 56.8%, 40.6%, 27.6%, respectively, with all P values < 0.001. Furthermore, high-risk group patients were more prone to early recurrence (early recurrence rates for high-, intermediate-, and low-risk groups were 56.8%, 51.5%, and 37.1%, respectively, P < 0.001) and extrahepatic metastasis (extrahepatic metastasis rates for high-, intermediate-, and low-risk groups were 31.7%, 26.4%, and 15.4%, respectively, P < 0.001). In terms of tumor characteristics, high-risk group patients had larger tumor diameters and were more likely to experience microvascular invasion, lymph node metastasis, and perineural invasion.ConclusionsThe predictive capacity of postoperative recurrence and OS rates in ICC patients is effectively captured by the preoperative scoring system incorporating NLR and CA19-9 levels.

Nomogram based on clinical characteristics and ultrasound indicators for predicting severe postpartum hemorrhage in patients with anterior placenta previa combined with previous cesarean section: a retrospective case-control study

BackgroundPlacental accreta spectrum disorders (PAS) are a high-risk group for severe postpartum hemorrhage (SPPH), with the incidence of PAS increasing annually. Given that cesarean section and anterior placenta previa are the primary risk factors for PAS, therefore, our study aims to investigate the predictive value of clinical characteristics and ultrasound indicators for SPPH in patients with anterior placenta previa combined with previous cesarean section, providing a theoretical basis for early prediction of SPPH.MethodsA total of 450 patients with anterior placenta previa combined with previous cesarean section were retrospectively analyzed at Shengjing Hospital affiliated with China Medical University between January 2018 and March 2022. Clinical data and ultrasound indicators were collected. Patients were categorized into SPPH (blood loss >2000mL, 182 cases) and non-SPPH (blood loss ≤ 2000mL, 268 cases) groups based on the blood loss within 24 h postpartum. The population was randomly divided into training and validation cohorts at a 7:3 ratio. LASSO and multifactorial logistic regression analyses were utilized to identify independent risk factors for SPPH. Accordingly, a nomogram prediction model was constructed, the predictive performance was assessed using receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA).ResultsAmong the 450 patients, 182 experienced SPPH (incidence rate, 40.44%). Preoperative systemic immune-inflammatory index, preoperative D-dimer level, preoperative placenta accreta spectrum ultrasound scoring system (PASUSS) score, and one-step-conservative surgery were identified as independent risk factors for SPPH in patients with anterior placenta previa combined with previous cesarean section. A nomogram was constructed based on these factors. The areas under the ROC curves for the training and validation cohorts were 0.844 (95%CI: 0.801–0.888) and 0.863 (95%CI: 0.803–0.923), respectively. Calibration curves and DCA indicated that this nomogram demonstrated good predictive accuracy.ConclusionsThis nomogram presents an effective and convenient prediction model for identifying SPPH in patients with anterior placenta previa combined with previous cesarean section. It can guide surgical planning and improve prognosis.

Sinonasal anatomical findings associated with revision functional endoscopic sinus surgery in chronic rhinosinusitis

BackgroundFunctional endoscopic sinus surgery (FESS) is a crucial additional procedure employed in the management of chronic rhinosinusitis (CRS). It has mostly overtaken the external methods for managing CRS that do not respond to medicinal treatment. Over the years, several instruments have been created to eliminate anatomical obstructions and restore proper function in the sinus drainage pathways. The purpose of this work was to reflect on various anatomical findings after primary functional endoscopic sinus surgery and their relationship with sinus surgery revision.MethodsThis is a prospective cohort study conducted on 40 participants with CRS. The Sino-Nasal Outcome Test version 22 (SNOT-22) was utilized as a measure of results and was filled out by participants both prior to and following their operation (at the 6-month and 12-month intervals).ResultsThere were multiple anatomical findings encountered in CRS persistence and subsequent need for revision FESS; the most common was incomplete ethmoidectomy (both anterior and posterior) 62.5% (N = 25), and the least common was misplaced antrostomy and partial or full resection of the middle turbinate 7.5% (N = 3). Preoperative total SNOT-22 scoring ranged from 42 to 86 with mean 58.83 ± 12.08, while 6-month postoperative scoring ranged from 10 to 32 with mean 21.48 ± 5.12, and 12-month postoperative scoring ranged from 15 to 37 with mean 28.83 ± 5.52. There was significant improvement (P = 0.001). The ages of patients range between 18 and 62 years.ConclusionsSeveral common anatomical findings are often found during revision surgeries by analysis of CT scans and endoscopic examination of participants who underwent revision FESS for recurrent or persistent CRS, and this often shows persisting anatomical features or incompletely excised cells that correspond to persistent symptoms and signs of CRS, and the most common was incomplete ethmoidectomy. Also, there was significant improvement regarding outcome measure SNOT-22, 6-month and 12-month period postoperative as contrasted with preoperative scoring.

Prospective validation of a preoperative scoring system for difficult laparoscopy cholecystectomy.

Difficult laparoscopic cholecystectomy (LC) is defined by its surgical outcomes, including operative time, conversion to open surgery, bile duct and/or vascular injury. Difficult LC can be graded based on intraoperative findings. The main objective of this study is to apply and validate the reliability of their proposed risk score to predict the operative difficulty of an LC, based on their own validated intraoperative scale. Single-center prospective cohort study from 01/2020-12-2023. 367 patients > 18years who underwent LC were included. The preoperative risk scale and intraoperative grading system were registered. Surgical outcomes were determined. Predictive accuracy was evaluated by the Receiver Operator Characteristic curve, sensitivity, specificity, positive, and negative predictive values, and Youden's Index (J). Patients' mean age was 44.1 ± 15.3years. According to the risk score, 39.5% LC were "low" risk difficulty, 49.3% were "medium" risk, and 11.2% were "high" risk difficult LC. Based on the intraoperative grading system, 31.9% were difficult LC (Nassar grades 3-4) and 68.1% were easy LC (Nassar grades 1-2). There was a statistically significant correlation (0.428, p < 0.05) between the preoperative risk score and the intraoperative grading system. The AUC for the preoperative risk score scale and intraoperative difficult LC was 0.735 (95% CI 0.687-0.779) (J: 0.34). A preoperative risk score > 1.5 had an 83.7% sensitivity and a 50.8% specificity for intraoperative difficult LC. A predictive preoperative score for difficult LC and a routine collection of the intraoperative difficulty should be implemented to improve surgical outcomes and surgical planning.

Recursive partitioning analysis for survival stratification and early imaging prediction of molecular biomarker in glioma patients

BackgroundGlioma is the most common primary brain tumor with high mortality and disability rates. Recent studies have highlighted the significant prognostic consequences of subtyping molecular pathological markers using tumor samples, such as IDH, 1p/19q, and TERT. However, the relative importance of individual markers or marker combinations in affecting patient survival remains unclear. Moreover, the high cost and reliance on postoperative tumor samples hinder the widespread use of these molecular markers in clinical practice, particularly during the preoperative period. We aim to identify the most prominent molecular biomarker combination that affects patient survival and develop a preoperative MRI-based predictive model and clinical scoring system for this combination.MethodsA cohort dataset of 2,879 patients was compiled for survival risk stratification. In a subset of 238 patients, recursive partitioning analysis (RPA) was applied to create a survival subgroup framework based on molecular markers. We then collected MRI data and applied Visually Accessible Rembrandt Images (VASARI) features to construct predictive models and clinical scoring systems.ResultsThe RPA delineated four survival groups primarily defined by the status of IDH and TERT mutations. Predictive models incorporating VASARI features and clinical data achieved AUC values of 0.85 for IDH and 0.82 for TERT mutations. Nomogram-based scoring systems were also formulated to facilitate clinical application.ConclusionsThe combination of IDH-TERT mutation status alone can identify the most distinct survival differences in glioma patients. The predictive model based on preoperative MRI features, supported by clinical assessments, offers a reliable method for early molecular mutation prediction and constitutes a valuable scoring tool for clinicians in guiding treatment strategies.

524 Outcomes From Preoperative Risk Scoring for Emergency Laparotomy

Abstract Aim Risk scoring systems can be used to predict outcome, facilitate perioperative decision making and guide management in emergency laparotomy (EL). This study aims to evaluate the differences in outcome between EL patients who were prospectively risk assessed and those who were not. Method A retrospective study was conducted on all 782 patients aged over 18 years who underwent EL at four Australian hospitals between 1 January 2018 and 31 December 2019. Data recorded included demographics, preoperative risk assessment, case urgency, involvement of anaesthetic and intensive care consultants, critical care bed requirement, mortality, and discharge destination. NELA scores were retrospectively calculated for all patients. Results 209 patients had been preoperatively risk assessed, with a mean NELA score of 16.45%, compared to 8.72% for those who were not preoperatively risk assessed. They tended towards a higher ASA score, were booked as a higher urgency operation, and were more likely to receive consultant led care by anaesthetics and intensivists. Postoperatively these patients had increased critical care bed utilisation, 30-day mortality was 14.4% compared to 5.8%, and by 365 days mortality rose to 24.9% compared to 13.8%. Conclusions Use of preoperative risk prediction scores does not in itself reduce risk of mortality. In a health system that does not mandate formal preoperative risk assessment, it appears that clinicians use preoperative risk assessment tools when they perceive risk to be higher, rather than as a routine part of emergency laparotomy care.

A pre-operative scoring model to estimate the risk of blood transfusion over an ovarian cancer debulking surgery (BLOODS score): a Memorial Sloan Kettering Cancer Center Team Ovary study

ObjectivesTo develop a pre-operative tool to estimate the risk of peri-operative packed red blood cell transfusion in primary debulking surgery.MethodsWe retrospectively reviewed an institutional database to identify patients who underwent...

Optimizing patient selection for secondary cytoreductive surgery in recurrent endometrial cancer

ObjectiveThis retrospective, multicenter, observational study aimed to refine patient selection criteria for secondary cytoreductive surgery in recurrent endometrial cancer. The objective was to identify preoperative predictors of complete cytoreduction, assess...

A Comparison of Preoperative Predictive Scoring Systems for Postoperative Pancreatic Fistula after Pancreaticoduodenectomy Based on a Single-Center Analysis.

Background: Postoperative pancreatic fistula (POPF) after pancreaticoduodenectomy (PD) is associated with major postoperative morbidity and mortality. Several scoring systems have been described to stratify patients into risk groups according to the risk of POPF. The aim of this study was to compare scoring systems in patients who underwent a PD. Methods: A total of 196 patients undergoing PD from July 2019 to June 2022 were identified from a prospectively maintained database of the University Hospital Ghent. After performing a literature search, four validated, solely preoperative risk scores and the intraoperative Fistula Risk Score (FRS) were included in our analysis. Furthermore, we eliminated the variable blood loss (BL) from the FRS and created an additional score. Univariate and multivariate analyses were performed for all risk factors, followed by a ROC analysis for the six scoring systems. Results: All scores showed strong prognostic stratification for developing POPF (p < 0.001). FRS showed the best predictive accuracy in general (AUC 0.862). FRS without BL presented the best prognostic value of the scores that included solely preoperative variables (AUC 0.783). Soft pancreatic texture, male gender, and diameter of the Wirsung duct were independent prognostic factors on multivariate analysis. Conclusions: Although all predictive scoring systems stratify patients accurately by risk of POPF, preoperative risk stratification could improve clinical decision-making and implement preventive strategies for high-risk patients. Therefore, the preoperative use of the FRS without BL is a potential alternative.

A preoperative scoring system for predicting the extraprostatic extension of prostate cancer following radical prostatectomy using magnetic resonance imaging and clinical factors.

We aimed to develop a preoperative prediction model for extraprostatic extension (EPE) in prostate cancer (PCa) patients following radical prostatectomy (RP) using MRI and clinical factors. This retrospective study enrolled 266 consecutive patients who underwent RP for PCa in 2022. These patients were divided into a training set (n = 187) and a test set (n = 79) through random assignment. The evaluated variables included age, prostate-specific antigen (PSA) level, prostate volume, PSA density (PSAD), index tumor length on MRI, Prostate Imaging-Reporting and Data System (PI-RADS) category, and EPE-related MRI features as defined by PI-RADS v2.1. A predictive model was constructed through multivariable logistic regression and subsequently translated into a scoring system. The performance of this scoring system in terms of prediction and calibration was assessed using C statistics and the Hosmer‒Lemeshow test. Among patients in the training and test cohorts, 74 (39.6%) and 25 (31.6%), respectively, exhibited EPE after RP. The formulated scoring system incorporated the following factors: PSAD, index tumor length, bulging prostatic contour, and tumor-capsule interface > 10mm as identified on MRI. This scoring system demonstrated strong prediction performance for EPE in both the training (C statistic, 0.87 [95% confidence interval, 0.86-0.87]) and test cohorts (C statistic, 0.85 [0.83-0.89]). Furthermore, the scoring system exhibited good calibration in both cohorts (P = 0.988 and 0.402, respectively). Our scoring system, built upon MRI features defined by the PI-RADS, offers valuable assistance in assessing the likelihood of EPE after RP.

Ophthalmology Residents' Experience in Cataract Surgery: Preoperative Risk Factors, Intraoperative Complications, and Surgical Outcomes.

This retrospective study explores the connection between preoperative patient risk factors, the experience of ophthalmology residents, and the outcomes of cataract surgeries performed at Hadassah Medical Center. It is hypothesized that with increased experience, residents may demonstrate greater proficiency in handling surgeries on higher-risk patients, potentially leading to improved surgical outcomes overall. Data were examined from 691 consecutive cataract surgeries in 590 patients, conducted by ophthalmology residents at Hadassah Medical Center (January 2018 to February 2022). Demographics, surgeon experience, preoperative cataract risk assessment score, and pre- and postoperative corrected distance visual acuity (CDVA) were analyzed. The risk score was based on cataract density, previous vitrectomy, presence of phacodonesis, small pupil, extreme axial length (> 30mm or < 21.5mm) or abnormal axial length (26-30mm), shallow anterior chamber (< 2.5mm), poor patient cooperation, oral alpha-1 blocker use, diabetic retinopathy (DR), Fuchs endothelial dystrophy, and having one functioning eye. This study focused on the correlation of risk scores with residents' surgical experience and surgical outcomes. As residents gained experience, surgeries on patients with at least one risk factor increased from 54% (first year) to 75% (second year; p < 0.001) and fluctuated between 75%, 82%, and 77% (third, fourth, and fifth years, respectively), with initial preoperative CDVA declining progressively. Despite handling more complex cases over time, the percentage of intraoperative complications per patient decreased with each year of residents' experience (17%, 13%, 11%, 17%, 6%; respectively). Patients without any risk factor had higher postoperative CDVA than those with one or more risk factors (mean ± standard deviation [SD] in logMAR, 0.16 ± 0.26 vs. 0.27 ± 0.35; p < 0.001) and a higher percentage of CDVA improvement (63% vs. 57%, p = 0.016). The use of a preoperative risk assessment scoring system to allocate surgeries to residents at varying experience levels may reduce the risk for surgical complications, thereby ensuring patient safety and providing residents with a gradual learning experience.

Validity of a preoperative scoring system for surgical management of periprosthetic hip infection: one-stage vs. two-stage revision.

There are no widely accepted algorithms for determining optimal treatment for periprosthetic joint infection (PJI). Our study aimed to confirm the validity of a previously published scoring system in a larger number of patients to support a rational surgical treatment strategy for periprosthetic hip infection. Between February 2001 and December 2020, we performed 155 consecutive revision total hip arthroplasties (THAs) for PJI, with mean follow-up of 6 years. One-stage revision THA was performed in 56 hips and two-stage revision THA in 99 hips. Prosthesis survival from recurrent infection was determined by Kaplan-Meier analysis, using implant removal as the endpoint. The pre-operative scoring system (full score of 12 points), including 6 essential elements, was retrospectively evaluated. The 10-year survival rates were 98% for one-stage (95% confidence interval [CI], 94-100) and 87% (95% CI, 79-96) for two-stage revision THA. Multivariate Cox regression analysis provided a total preoperative score as an independent risk factor for implant removal (hazard ratio, 0.17; 95% CI, 0.06-0.49; p < 0.001). The sensitivity and specificity at the cut-off of 4 points on the scoring system were 80% and 91%, respectively. The average score for one-stage revision THA in successful and failed cases were 8.9 and 6.0, and for two-stage revision THA were 6.5 and 3.9, respectively. We found significant differences between successful cases in one- and two-stage revision THA (p < 0.05). The preoperative scoring system was useful for managing PJI. One-stage revision THA is recommended in patients scoring ≥ 9 points, and meticulously performed two-stage revision THA is encouraged for patients scoring ≥ 4 points.

Small change in the arithmetic hip-knee-ankle angle during unicompartmental knee arthroplasty improves early postoperative functional outcomes.

The optimal lower-limb alignment after unicompartmental knee arthroplasty (UKA) remains controversial. This study aimed to investigate the optimal lower-limb alignment for functional improvement in the early post-UKA period. We hypothesized that a small change (Δ) in the arithmetic hip-knee-ankle (aHKA) angle during surgery would result in better postoperative knee function. This single-centered, retrospective study analyzed 91 patients (91 knees) who underwent UKA from April 2021 and December 2022. Preoperative and postoperative standing whole-leg radiographs were used to evaluate the mechanical HKA angle and aHKA angle. The aHKA angle was calculated from the medial proximal tibial angle (MPTA) and lateral distal femoral angle (LDFA). We defined restored aHKA angle as a postoperative aHKA angle within ± 3° of the preoperative aHKA angle. Functional improvement was evaluated using the preoperative and one-year postoperative Knee Society Scoring 2011 (KSS 2011). A multivariate regression analysis was performed to investigate the optimal lower-limb alignment for functional improvement. Postoperative restored aHKA angle (p = 0.020) was the only significant factor for improved KSS 2011 scores. Postoperative restored aHKA angle was obtained in 64 patients (70%). ΔMPTA (p < 0.001) and ΔLDFA (p = 0.037) were significant factors associated with a postoperative restored aHKA angle. UKA restores the native knee, including resurfacing constitutional alignment and medial collateral ligament tension. Minimal change in the aHKA angle during UKA improves the functional outcomes of the knee during the early postoperative period, consistent with the minimally invasive surgical concept of UKA.

A combined pre- and intra-operative nomogram in evaluation of degrees of liver cirrhosis predicts post-hepatectomy liver failure: a multicenter prospective study.

Adequate evaluation of degrees of liver cirrhosis is essential in surgical treatment of hepatocellular carcinoma (HCC) patients. The impact of the degrees of cirrhosis on prediction of post-hepatectomy liver failure (PHLF) remains poorly defined. This study aimed to construct and validate a combined pre- and intra-operative nomogram based on the degrees of cirrhosis in predicting PHLF in HCC patients using prospective multi-center's data. Consecutive HCC patients who underwent hepatectomy between May 18, 2019 and Dec 19, 2020 were enrolled at five tertiary hospitals. Preoperative cirrhotic severity scoring (CSS) and intra-operative direct liver stiffness measurement (DSM) were performed to correlate with the Laennec histopathological grading system. The performances of the pre-operative nomogram and combined pre- and intra-operative nomogram in predicting PHLF were compared with conventional predictive models of PHLF. For 327 patients in this study, histopathological studies showed the rates of HCC patients with no, mild, moderate, and severe cirrhosis were 41.9%, 29.1%, 22.9%, and 6.1%, respectively. Either CSS or DSM was closely correlated with histopathological stages of cirrhosis. Thirty-three (10.1%) patients developed PHLF. The 30- and 90-day mortality rates were 0.9%. Multivariate regression analysis showed four pre-operative variables [HBV-DNA level, ICG-R15, prothrombin time (PT), and CSS], and one intra-operative variable (DSM) to be independent risk factors of PHLF. The pre-operative nomogram was constructed based on these four pre-operative variables together with total bilirubin. The combined pre- and intra-operative nomogram was constructed by adding the intra-operative DSM. The pre-operative nomogram was better than the conventional models in predicting PHLF. The prediction was further improved with the combined pre- and intra-operative nomogram. The combined pre- and intra-operative nomogram further improved prediction of PHLF when compared with the pre-operative nomogram. Clinicaltrials.gov Identifier: NCT04076631.