Preoperative Scoring System Research Articles

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.

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.

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.

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.

A systematic review and meta-analysis of the predictive accuracy of preoperative scoring systems for postoperative survival in patients with metastatic bone disease

One significant clinical challenge is meeting the needs of patients with metastatic bone disease (MBD) who are susceptible to pathological fractures. Patients with cancer who undergo surgical procedures are more vulnerable to thromboembolic and infectious complications. The expected survival rate plays a major role in deciding the best action. The current systematic review and meta-analysis were conducted to evaluate the validity and reliability of various preoperative survival scores in surgery for MBD. The aim of the review was to examine the preoperative survival evaluations used in surgery for MBD. A comprehensive exploration of medical literature was conducted using MEDLINE (accessed through Ovid), EMBASE (accessed through Ovid), and PubMed. A systematic analysis of studies examining prognostic scores that gauged survival rates in individuals with bone metastases was performed. Additionally, a meta-analysis encompassed studies assessing the sensitivity and specificity of the Tokuhashi and Tomita scores in predicting 6-month survival rates for spinal metastases. Incorporating a total of 68 studies, with 35 included in the meta-analysis, the Tokuhashi score demonstrated sensitivities ranging from 27 to 92%, and the Tomita score exhibited sensitivities from 76 to 99%. Specificities for the Tokuhashi score ranged from 44 to 96%, while the Tomita score specificities varied from 1 to 44%. The pooled diagnostic odds ratio was 6.04 (95% confidence interval, 3.96–9.21; Tau-squared=0.90; I 2=86%) for the Tokuhashi score and 1.34 (95% confidence interval, 0.67–2.67; Tau-squared=1.02; I 2=85%) for the Tomita score. The SORG Nomogram, developed in a substantial surgical cohort, exhibited robust discrimination for 3-month and 1-year survival, reliable calibration, and outperformed counterparts with low risk of bias and applicability concerns. PATHFx 3.0, 2013-SPRING, and potentially Optimodel emerged as superior models for predicting survival in extremity metastasis surgery. The Tokuhashi score showed high sensitivity and specificity, with an overall higher diagnostic value compared to the Tomita score. The SORG Nomogram demonstrated robust performance in predicting 3-month and 1-year survival, surpassing other models in terms of reliability and applicability. Additionally, PATHFx 3.0, 2013-SPRING, and potentially Optimodel emerged as promising models for predicting survival in extremity metastasis surgery.

Predicting Peri-Operative Cardiorespiratory Adverse Events in Children with Idiopathic Pulmonary Arterial Hypertension Undergoing Cardiac Catheterization Using Echocardiography: A Cohort Study.

General anesthesia in children with idiopathic pulmonary arterial hypertension (PAH) carries an increased risk of peri-operative cardiorespiratory complications though risk stratifying individual children pre-operatively remains difficult. We report the incidence and echocardiographic risk factors for adverse events in children with PAH undergoing general anesthesia for cardiac catheterization. Echocardiographic, hemodynamic, and adverse event data from consecutive PAH patients are reported. A multivariable predictive model was developed from echocardiographic variables identified by Bayesian univariable logistic regression. Model performance was reported by area under the curve for receiver operating characteristics (AUCroc) and precision/recall (AUCpr) and a pre-operative scoring system derived (0-100). Ninety-three children underwent 158 cardiac catheterizations with mean age 8.8 ± 4.6years. Adverse events (n = 42) occurred in 15 patients (16%) during 16 catheterizations (10%) including cardiopulmonary resuscitation (n = 5, 3%), electrocardiographic changes (n = 3, 2%), significant hypotension (n = 2, 1%), stridor (n = 1, 1%), and death (n = 2, 1%). A multivariable model (age, right ventricular dysfunction, and dilatation, pulmonary and tricuspid regurgitation severity, and maximal velocity) was highly predictive of adverse events (AUCroc 0.86, 95% CI 0.75 to 1.00; AUCpr 0.68, 95% CI 0.50 to 0.91; baseline AUCpr 0.10). Pre-operative risk scores were higher in those who had a subsequent adverse event (median 47, IQR 43 to 53) than in those who did not (median 23, IQR 15 to 33). Pre-operative echocardiography informs the risk of peri-operative adverse events and may therefore be useful both for consent and multi-disciplinary care planning.

Predicting 30-day Mortality after Ruptured Abdominal Aortic Aneurysms: Validation of the Harborview Risk Score in a Single-Center Dutch Study Population

ObjectiveThe Harborview Risk Score (HRS) was recently proposed as scoring tool to predict 30-day mortality in patients with ruptured abdominal aortic aneurysms (rAAA). The HRS assigns one point for each of the following preoperative characteristics: age >76 years, pH <7.2, creatinine level >2mg/dL (>176.8 μmol/L) and systolic blood pressure <70mmHg, resulting in scores from 0 to 4. The 30-day mortality risk increases with every point. Primarily, we aimed to validate the HRS for the first time in a Dutch study population. A second objective, was to identify other clinically relevant predictors for 30-day mortality after repair of rAAA. MethodsRetrospective data from patients who underwent open repair or endovascular aortic repair (EVAR) for a rAAA between January 2009 and February 2022 were reviewed. Patients were grouped by HRS category (score 0-4). The 30-day mortality rate was calculated for each HRS-category. Determinants for 30-day mortality were tested for significance and validated for HRS. ResultsIn total, data from 135 patients were included. Open repair was performed in 95 patients and 40 patients underwent EVAR. Univariate logistic regression identified pH < 7.2, systolic blood pressure < 70mmHg, female sex, performance status and increase per HRS-unit as significant determinants for 30-day mortality. After adjusting for sex and performance status in the multivariate analysis, the association between the HRS per unit increase and 30-day mortality remained significant (OR 2.532 (95%CI:1.437-4.461)). The 30-day mortality rate for HRS-score 0 was 15.2%, while for HRS-score 3 and 4, the mortality was 80% and 100% respectively. ConclusionThe Harborview Risk Score was validated in this single-center Dutch population. Results were concordant with data presented in earlier studies. Therefore, the HRS seems accurate and accessible as preoperative tool. For now, the HRS should guide as an insightful tool to indicate the chances of post-operative mortality during the pre-operative conversations in the emergency room, rather than as a decision-making tool whether to operate or not. Our results suggest that female sex and performance status are also relevant predictors, that should be assessed in other populations to improve preoperative scoring systems.

How Can We Identify Extraprostatic Extension (EPE) Before Surgery? The Use of a Preoperative Prostate MRI EPE Scoring System to Assess Postprostatectomy Locally Advanced Prostate Cancer.

Background: Distinguishing between organ-confined disease and extraprostatic extension (EPE) is crucial for the treatment of patients with prostate cancer. EPE is associated with an increased risk of biochemical recurrence, positive surgical margins, and metastatic disease. An MRI-based EPE scoring system was developed by Mehralivand in 2019; however, it has not been adopted in the Urology community. The purpose of this study is to evaluate the association of MRI-based EPE scoring with the pathologic EPE (pEPE) after radical prostatectomy. Methods: We conducted a retrospective review on a prospectively collected database of male patients who underwent a prostate MRI with EPE scoring by a trained genitourinary radiologist and subsequent robotic radical prostatectomy at our institution from September 2020 to December 2022. The associations between MRI EPE (mEPE) score and the presence of EPE on surgical pathology (pEPE) were examined using multivariable logistic regression. Results: A total of 194 patients met inclusion criteria with a median age of 63 years and prostate specific antigen (PSA) 7 ng/mL. Among those with mEPE score 3, 96% had pEPE. Those patients with an mEPE score ≥2 had an increased risk of pEPE compared with those with mEPE score 0 (odds ratio 3.79; 95% confidence interval 1.28-11.3) Furthermore, those with an mEPE score 3 were significantly more likely to have pEPE compared with those with mEPE score 0, 1 and 2 independently. Conclusion: MRI EPE is a straightforward tool that strongly correlates with the presence of pEPE. If validated prospectively, this scoring system could assist in counseling patients regarding nerve-sparing approach.

Quality of life after emergency laparotomy: a systematic review

BackgroundEmergency laparotomy is a commonly performed surgical procedure that has higher post-operative morbidity and mortality than elective surgery. Previous research has identified that patients valued postoperative quality of life (QoL) more than the risk of mortality when deciding to undergo emergency surgery. Current pre-operative scoring and risk stratification systems for emergency laparotomy do not account for or provide prediction tools for post-operative QoL. This study aims to systematically review previous literature to determine post-operative QoL in patients who undergo emergency laparotomy.MethodsA literature search was undertaken in Medline, EMBASE and the Cochrane Library to identify studies measuring post-operative QoL in patients who have had emergency laparotomy up to 29th April 2023. Mean QoL scores from the studies included were combined to calculate the average effect of emergency laparotomy on QoL. The primary outcome of the review was postoperative QoL after emergency laparotomy when compared with a comparator group. Secondary outcomes included the quality of included studies.ResultsTen studies in the literature assessing the QoL of patients after emergency laparotomy were identified. Three studies showed that patients had improved QoL and seven showed worse QoL following emergency laparotomy. Length of time for QoL to return to baseline varied ranged from 3 to 12 months post-operatively. Length of hospital stay was identified as an independent risk factor for poorer QoL post-surgery.ConclusionsOutcome reporting for patients who undergo emergency laparotomy should be expanded further to include QoL. Further work is required to investigate this and elicit factors that can improve QoL post-operatively.

Radioclinical Assessment of Posterior Tympanotomy Difficulties during Ordinary Cochlear Implantation: A Prospective Case-Series Study.

This study proposes a preoperative radiologic scoring system for predicting posterior tympanotomy (PT) and mastoidectomy-associated difficulties during cochlear implantation (CI). It was a prospective case-series study. The included CI surgeries were performed at tertiary referral institutions from October 2022 to April 2023. We included 73 CI candidates performed via the PT approach. The proposed radiologic score, composed of 13 items, was fulfilled and evaluated before each CI surgery. We correlated this score with the intraoperative difficulty and surgical duration. The operation was straightforward in 42 patients with a score of 3.87 ± 1.72 and challenging in 31 patients with a score of 10.66 ± 1.73. The radiologic score was strongly correlated with the surgical difficulty and duration (p < 0.0001). Our proposed radiologic score was a valid, reliable, and precise tool to predict intraoperative difficulty during cochlear implantation. Chorda-facial angle was the strongest predictor, significantly affecting the difficulty, surgical duration, and preoperative radiologic score. A score equal to or more than 7.5 was expected to be associated with surgical difficulty.

Development of an Evaluation System for the Prophylactic Use of Antimicrobial Drugs in the Perioperative Period of Class I Surgical Incisions in Neurosurgery

BackgroundThis study aimed to establish a precise preoperative high-risk factor scoring system and algorithm for antibiotic prophylaxis decision-making, provide guidance for the judicious use of AMP, refine interventions, and ensure the appropriate application of AMP for class I incisions in neurosurgery. Study DesignAccording to PRISMA guidelines, Literature searches, study selection, methodology development, and quality appraisal were performed. The quality of evidence across the study population was assessed using the Newcastle-Ottawa Scale. A two-round Delphi expert consultation method involved 15 experts from leading tertiary hospitals in China. Establishing an algorithm of SOPs for perioperative antimicrobial prophylaxis in Class I neurosurgical incisions. ResultsThirteen studies, encompassing 11,936 patients undergoing clean neurosurgical procedures, were included. 791 patients experienced SSI, resulting in an average incidence of 6.62%. Identified risk factors significantly associated with an increased incidence of postoperative SSI (P < 0.05) included emergency surgery, preoperative hospitalization ≥7 days, intraoperative blood loss ≥300 mL, operation time ≥4 hours, diabetes mellitus, cerebrospinal fluid leakage, and repeat surgery. Sensitivity analysis demonstrated robust results for emergency surgery, intraoperative blood loss ≥300 mL, operation time ≥4 hours, cerebrospinal fluid leakage, and repeat surgery. Established a risk assessment system for Class I neurosurgical incisions by the Delphi method. Additionally, we have formulated an algorithm of SOPs for perioperative antimicrobial prophylaxis in Class I neurosurgical incisions. ConclusionsThe established index for AMP utilization and SOPs in the preoperative period of class I neurosurgical incisions proves valuable, contributing to improved patient outcomes in neurosurgical procedures.

A prospective study of preoperative scoring system in predicting difficulty in elective laparoscopic cholecystectomy

Background: Laparoscopic cholecystectomy since its discovery in 1987, has dramatically replaced conventional open cholecystectomy and rapidly became the gold standard for routine gall bladder removal. Today more than 80% of cholecystectomies are carried out laparoscopically. Laparoscopic cholecystectomy although safe and effective, yet poses many difficulties like unclear anatomy, and frozen calots. If risk factors could be reliably identified preoperatively, these factors would aid surgeons in preoperative patient counselling, informed consent, and operative strategy. Methods: This study conducted over the span of 2.5 years on 66 patients underwent elective laparoscopic cholecystectomy was done to identify risk factors preoperatively and their association with intraoperative difficulty. Results: Preoperative factors like acute cholecystitis in the past, gall bladder wall thickness and previous history of upper abdominal procedure were fund to be directly related to intraoperative difficulty and laparoscopic to open conversion. Conclusions: Preoperatively with the help this scoring system we can predict difficulty in laparoscopic cholecystectomy.

Development and validation of a preoperative CT-based risk scoring system for predicting recurrence-free survival in patients undergoing curative surgery for gastric cancer

PurposeThe objective of this study was to establish and validate a preoperative risk scoring system that incorporated both clinical and computed tomography(CT) variables to predict recurrence-free survival (RFS) in gastric cancer(GC) patients who underwent curative resection. MethodWe retrospectively included consecutive patients with surgically confirmed GC who underwent preoperative CT scans between October 2017 and January 2022. Multivariate Cox regression analysis was employed in the derivation set to identify clinical and CT variables associated with RFS and to construct a risk score. This risk score was subsequently validated in an independent test set. ResultsA total of 346 patients were included in the study, with 213 in the derivation set and 133 in the test set. Five variables, namely ctEMVI, ctBorrmann, visceral obesity, sarcopenia, and NLR, were independently associated with RFS. In the test set, the preoperative risk score exhibited a c-index of 0.741, which outperformed the predictive accuracy of pathological tumor staging (c-index of 0.673, p = 0.021) at various time points. The preoperative risk score effectively stratified patients into low and high-risk groups. ConclusionThe developed preoperative risk scoring system demonstrated the ability to predict RFS following curative resection in GC patients.