Single-center Prospective Study Research Articles

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.

Recovery Trajectories of Patient-reported Outcomes After Surgery for Degenerative Cervical Myelopathy: A Bayesian Latent Class Modeling Approach.

Retrospective study. The aim of this study was to identify recovery trajectory clusters after surgery for degenerative cervical myelopathy (DCM), as well as to determine clinical and imaging characteristics associated with functional recovery trajectories. Accurate prediction of postsurgical neurological recovery for the individual patient with DCM is challenging due to varying patterns of functional recovery. Latent class Bayesian models can model individual patient patterns and identify groups of patients with similar phenotypes for personalized prognostication. A prospective single-center study of 70 consecutive patients with DCM undergoing elective cervical spine decompression for DCM between 2010 and 2017 was performed. Outcomes were recorded using the modified Japanese Orthopedic Association (mJOA), Neck Disability Index (NDI), and the Short Form-36 Physical Component Score (SF-36 PCS) at 3, 6, 12, and 24 months. Recovery trajectories were constructed based on unsupervised Bayesian latent class modeling. Clinical and imaging predictors of recovery trajectories were also determined. Recovery after surgery for DCM showed 3 distinct recovery trajectory clusters for each outcome. The commonest recovery trajectory was sustained improvement for the mJOA (41.1%), stagnation for the NDI (60.3%), and stability for the SF-36 PCS (46.6%). Age, duration of symptoms, and baseline disability were the strongest predictors of each recovery trajectory. Degree of cord compression, neck pain, and intramedullary T2-hyperintensity were predictive of NDI and SF-36 PCS but not mJOA recovery trajectory. Sex was associated with the NDI recovery trajectory but not SF-36 PCS and mJOA recovery trajectories. Using prospective data and a data-driven approach, we identified 3 distinct recovery trajectory clusters and associated factors for mJOA, NDI, and SF-36 PCS in the first 24 months after surgery for DCM. Our results can enhance personalized clinical prognostication and guide patient expectations at different time points after surgery for DCM.

The effect of protein administration during critical illness depends on body composition: A secondary analysis of a prospective, observational study

Background & AimsThe most adequate amount of protein that should be administered to critically ill patients is still debated and diverging findings are recently accumulating. We hypothesized that the effect of protein administration might depend on the amount of muscle mass. MethodsA secondary analysis of a single-centre prospective observational study of body composition in critically ill patients. Mechanically-ventilated subjects with an expected intensive care unit (ICU) stay >72h were enrolled. Within 24h from ICU admission, bioimpedance-derived muscle mass (BIA MM) and rectus femoris cross-sectional area (RF CSA) were measured. The amount of proteins and calories administered on the 7th ICU day was recorded. ResultsWe enrolled 94 subjects (65 males, actual body weight 72.9±14.4 Kg, BMI 26.0±4.8 kg/m2). Actual body weight was only weakly related to BIA MM (R=0.478, p<0.001) and not related to RF CSA (R=0.114, p=0.276). A higher protein intake was associated with a reduced mortality in the highest quartile of BIA MM (OR 0.68 [0.46; 0.99] per each 10g of proteins administered) and in the third (OR 0.74 [0.57; 0.98]) and highest quartile of RF CSA (OR 0.68 [0.48; 0.96]). ConclusionA higher protein intake was associated with lower ICU mortality only in patients admitted with a higher muscle mass, as either assessed by BIA or muscle ultrasound.

COVID-19-associated rhino-orbito-cerebral mucormycosis: a single center prospective study of 264 patients

ABSTRACT Purpose Outbreaks of mucormycosis were reported worldwide throughout the COVID-19 pandemic. We report clinical outcomes of a treatment protocol for COVID-19-associated rhino-orbital-cerebral mucormycosis (ROCM). Methods Patients with biopsy-proven mucormycosis and COVID-19 were included. All received intravenous amphotericin B deoxycholate 1 mg/kg and surgical endoscopic sinus debridement (FESS). Those with rhino-orbital or cerebral disease limited to the cavernous sinus were eligible for transcutaneous retrobulbar amphotericin B (TRAMB). Patients were followed with weekly imaging, endoscopic examinations, and serial debridement as necessary. Patients were discharged on oral posaconazole for 6 months. Results In total, 264 patients were followed for a mean of 2.5 months. On presentation, 163 patients (174 eyes) had eye involvement. Of these, 141 eyes (81.0%) had light perception or worse vision. By the last follow-up, 163 patients (176 eyes) were affected, and of these, 96 eyes (54.5%) had no light perception. Twenty-one patients (8%) died and 3 orbits (0.5%) were exenterated. There was no change in mortality (p = 0.38) or exenteration (p = 0.38) in the 55 patients who received TRAMB compared to patients with rhino-orbital or cerebral disease limited to the cavernous sinus who did not. Asymptomatic COVID-19 was associated with higher mortality than symptomatic COVID-19 (p = 0.025). Uncontrolled diabetes was a risk factor for death (p = 0.022). New diabetes was associated with increased mortality versus pre-existing diabetes (p = 0.005). Conclusion A multidisciplinary approach is crucial to manage COVID-19-ROCM. In our cohort, TRAMB therapy did not increase mortality or exenteration rates. While poor vision on presentation was profound, some vision recovery was noted with treatment. COVID-19 immune dysregulation may predispose patients to ROCM, particularly those with asymptomatic disease.

Improvement of Breast Cancer Detection Using Dual-Layer Spectral CT.

This study aimed to investigate the diagnostic performance of breast mass detection on monoenergetic image data at 40 keV (MonoE40) and on iodine maps (IM) compared with conventional image data (CI). In this prospective single-center case-control study, 50 breast cancer patients were examined using contrast-enhanced dual-layer spectral CT. For qualitative and quantitative comparison of MonoE40 and IM with CI image data, four blinded, independent readers assessed 300 randomized single slices (two slices for each imaging type per case) with or without cancerous lesions for the presence of a breast mass. Detection sensitivity and specificity were calculated and readers rated their subjective diagnostic certainty. For statistical analysis of sensitivity and specificity, a paired t-test and ANOVA were used (significance level p = 0.05). A total of 50 female patients (median age 51 years, range 28-83 years) participated. IM had the highest overall scores in sensitivity and specificity for breast cancer detection, with 0.97 ± 0.06 and 0.95 ± 0.07, respectively, compared with 0.90 ± 0.04 and 0.92 ± 0.06 in CI. MonoE40 yielded a sensitivity of 0.96 ± 0.02 and specificity of 0.94 ± 0.08. All differences in sensitivity and specificity between MonoE or IM and CI were statistically significant (p < 0.001). The superiority of IM sensitivity and specificity was most pronounced in patients with dense breasts. Spectral CT improved the detection of breast cancer with higher sensitivity and specificity compared to conventional image data in our study.

Integrated image-based deep learning and language models for primary diabetes care.

Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challenges due to a shortage of trained primary care physicians (PCPs), particularly in low-resource settings. Here, to bridge the gaps, we developed an integrated image-language system (DeepDR-LLM), combining a large language model (LLM module) and image-based deep learning (DeepDR-Transformer), to provide individualized diabetes management recommendations to PCPs. In a retrospective evaluation, the LLM module demonstrated comparable performance to PCPs and endocrinology residents when tested in English and outperformed PCPs and had comparable performance to endocrinology residents in Chinese. For identifying referable DR, the average PCP's accuracy was 81.0% unassisted and 92.3% assisted by DeepDR-Transformer. Furthermore, we performed a single-center real-world prospective study, deploying DeepDR-LLM. We compared diabetes management adherence of patients under the unassisted PCP arm (n = 397) with those under the PCP+DeepDR-LLM arm (n = 372). Patients with newly diagnosed diabetes in the PCP+DeepDR-LLM arm showed better self-management behaviors throughout follow-up (P < 0.05). For patients with referral DR, those in the PCP+DeepDR-LLM arm were more likely to adhere to DR referrals (P < 0.01). Additionally, DeepDR-LLM deployment improved the quality and empathy level of management recommendations. Given its multifaceted performance, DeepDR-LLM holds promise as a digital solution for enhancing primary diabetes care and DR screening.

Risk factors of mortality in patients with rheumatoid arthritis-associated interstitial lung disease: a single-centre prospective cohort study

ObjectivesTo determine the risk factors for mortality in Korean patients with rheumatoid arthritis (RA)-associated interstitial lung disease (ILD) in comparison to patients with RA but without ILD (RA-nonILD).MethodsData were extracted from a single-centre prospective cohort of RA patients with a chest computed tomography scan at an academic referral hospital in Korea. Patients with RA-ILD enroled between May 2017 and August 2022 were selected, and those without ILD were selected as comparators. The mortality rate was calculated, and the causes of each death were investigated. We used Cox proportional hazard regression with Firth’s penalised likelihood method to identify the risk factors for mortality in patients with RA-ILD.ResultsA total of 615 RA patients were included: 200 with ILD and 415 without ILD. In the RA-ILD group, there were 15 deaths over 540.1 person-years (PYs), resulting in mortality rate of 2.78/100 PYs. No deaths were reported in the RA-nonILD group during the 1669.9 PYs. The primary causes of death were infection (nine cases) and lung cancer (five cases), with only one death attributed to ILD aggravation. High RA activity (adjusted HR 1.87, CI 1.16–3.10), baseline diffusing capacity for carbon monoxide (DLCO) < 60% (adjusted HR 4.88, 95% CI 1.11–45.94), and usual interstitial pneumonia (UIP) pattern (adjusted HR 5.13, 95% CI 1.00–57.36) were identified as risk factors for mortality in RA-ILD patients.ConclusionPatients with RA-ILD have an elevated risk of mortality compared with those without ILD. Infection-related deaths are the main causes of mortality in this population. High RA activity, low DLCO, and the UIP pattern are significantly associated with the mortality in patients with RA-ILD.

Pancreatic Stone Protein in the Diagnosis of Sepsis in Children Admitted to High-Dependency Care: A Single-Center Prospective Cohort Study.

Blood level of pancreatic stone protein (PSP) is a promising biomarker of sepsis both in adults and children. The aim of our study was to investigate the diagnostic accuracy of PSP in children with suspected sepsis and to compare diagnostic performance with other sepsis biomarkers approved for clinical use, that is, procalcitonin (PCT) and C-reactive protein (CRP). Prospective study. PICU and pediatric emergency department. Blood levels of PSP were measured using a nanofluidic point-of-care immunoassay (abioSCOPE, Abionic SA, Switzerland) within 24 hours of admission. We studied 99 children aged between older than 1 month and younger than 18 years with signs and symptoms of systemic inflammatory response syndrome (irrespective of associated organ dysfunction). The prevalence of sepsis was 35 of 99 (35.4%). Patients with sepsis had higher PSP levels (p < 0.001) than patients with systemic inflammation of noninfectious cause. In this analysis, the optimal cutoff for the diagnosis of sepsis using PSP was 123 ng/mL, which resulted in a sensitivity of 0.63 (95% CI, 0.43-0.80), specificity of 0.89 (95% CI, 0.77-0.95). The PSP test area under the receiver operating characteristic curve (AUROC) was 0.82 (95% CI, 0.73-0.91) and, by comparison, procalcitonin and CRP AUROC were 0.70 (95% CI, 0.58-0.82) and 0.72 (95% CI, 0.60-0.84), respectively. Overall, the pretest to posttest probability of sepsis with a positive test changed from 0.35 to 0.73. In this single-center prospective pediatric cohort, admitted to the high intensive care and to the PICU, our findings suggested the potential use of PSP as a sepsis biomarker. However, because of the clinical diagnostic uncertainty with a positive result, further investigation is needed particularly in combination with other biomarkers.

Impact of Protein Intake after Intensive Care Unit on Discharge Destination for Critically Ill Patients: A Single-Center Prospective Observational Study.

Although nutritional therapy may be able to enable intensive care unit (ICU) survivors to return home instead of being discharged to a rehabilitation facility, post-ICU discharge nutritional therapy lacks investigation. This study evaluated the impact of nutritional therapy after ICU on discharge destination in critically ill patients. We enrolled consecutive adult patients who spent &gt;72 h in the ICU from December 2020 to March 2023. The primary outcome was discharge destination. Energy and protein intake during the ICU stay and on days 7 and 14 after ICU discharge were evaluated. The target protein intake during the intensive treatment and general ward phases were 0.8 and 1.0 g/kg/day, respectively. Patients were categorized into home discharge (group A) and rehabilitation transfer (group B) groups. Factors affecting the discharge destination were evaluated using logistic regression analysis. Of the 183 patients included, 134 belonged to group A and 49 to group B. In group A, more patients reached the protein intake target than in group B. Logistic regression analysis identified achieving the protein intake target as an independent predictor of home discharge. Further studies are required to confirm the relationship between nutritional therapy during general ward and patient outcomes.

Endotrophin as a Biomarker for Severe Acute Kidney Injury and Major Adverse Kidney Events.

The search for novel biomarkers in acute kidney injury (AKI) continues, both in terms of being able to predict adverse events in AKI but also in terms of confirming pathogenic pathways as potential therapeutic targets. Endotrophin (ETP) is an emerging biomarker in a number of fibroinflammatory diseases. We sought to test the association of ETP with the development of major adverse kidney events (MAKE) in critically ill adult patients. Single-center prospective study of critically ill adult patients with stage 2-3 AKI and patients without AKI. Serum ETP was measured early in the first 3 days of critical care admission, 5-7 days later, and in some patients, 4-6 weeks later. The primary outcome was MAKE assessed at hospital discharge, a composite of mortality, kidney replacement therapy at discharge, and estimated glomerular filtration rate reduction of ≥ 25% from baseline. Among 121 patients evaluated in this study, serum ETP was significantly higher in patients with AKI vs. those without (p<0.05). In multivariable logistic regression analysis, higher tertiles of ETP were significantly associated with MAKE at discharge, controlled for relevant covariates. Further, sustained elevations in ETP 5-7 days later, as opposed to reductions towards normal, were also associated with MAKE. In patients seen in the clinic 4-6 weeks post-AKI, ETP remained elevated. In the acute period, ETP levels correlated most with TNF-α and neutrophil gelatinase-associated lipocalin. Higher levels of serum ETP early in the ICU admission, as well as sustained elevations of ETP within a 5-7 day period, are associated with MAKE at hospital discharge. ETP is a potential biomarker of AKI-related outcomes and a promising therapeutic target to minimize sequelae of AKI.

Study of pediatric appendicitis scores and management strategies: A prospective observational feasibility study.

The objective was to investigate the feasibility of prospectively validating multiple clinical prediction scores (CPSs) for pediatric appendicitis in an Australian pediatric emergency department (ED). A literature search was conducted to identify potential CPSs and a single-center prospective observational feasibility study was performed between November 2022 and May 2023 to evaluate the performance of identified CPSs. Children 5-15 years presenting with acute right-sided or generalized abdominal pain and clinician suspicion of appendicitis were included. CPSs were calculated by the study team from prospectively clinician-collected data and/or review of medical records. Accuracy of CPSs were assessed by area under the receiver operating characteristic curve (AUC) and proportions correctly identifiable as either low-risk or high-risk with the best performing CPS compared to clinician gestalt. Final diagnosis of appendicitis was confirmed on histopathology or by telephone/email follow-up for those discharged directly from ED. Thirty CPSs were identified in the literature search and 481 patients were enrolled in the study. A total of 150 (31.2%) patients underwent appendectomy with three (2.0%) having a normal appendix on histopathology. All identified CPSs were calculable for at least 50% of the patient cohort. The pediatric Appendicitis Risk Calculator for pediatric EDs (pARC-ED; n = 317) was the best performing CPS with AUC 0.90 (95% confidence interval [CI] 0.86-0.94) and specificity 99.0% (95% CI 96.4%-99.7%) in diagnosing high-risk cases and a misclassification rate of 4.5% for low-risk cases. The study identified 30 CPSs that could be validated in a majority of patients to compare their ability to assess risk of pediatric appendicitis. The pARC-ED had the highest predictive accuracy and can potentially assist in risk stratification of children with suspected appendicitis in pediatric EDs. A multicenter study is now under way to evaluate the potential of these CPSs in a broader range of EDs to aid clinical decision making in more varied settings.

Sarcopenia as a predictor of mortality in kidney transplant recipients: A 5-year prospective cohort study with propensity score matching.

Sarcopenia is known to bring about adverse outcomes in elderly populations and dialysis patients. However, whether it is a risk factor in kidney transplant recipients (KTRs) has not yet been established. In the present study, the association of sarcopenia with mortality was investigated in KTRs. We conducted a single-center prospective cohort study and recruited KTRs who were more than 1-year posttransplant from August 2017 to January 2018. The participants were followed for 5 years, and the Kaplan-Meier method and Cox proportional hazards model were used to assess patient survival. A total of 212 KTRs with a median age of 54 years and median transplant vintage of 79 months were enrolled in this study. Among them, 33 (16%) had sarcopenia according to the Asia Working Group for Sarcopenia 2019 at baseline. During the 5-year follow-up period, 20 (9.4%) died, 5 returned to dialysis after graft loss, and 4 were lost to follow-up. The 5-year overall survival rate was 90%. After 1:1 propensity score matching, a matched cohort with 60 KTRs was generated. The overall survival rate was significantly lower in the sarcopenia group compared to the non-sarcopenia group (p = 0.025, log-rank test). Furthermore, mortality risk was significantly higher in the sarcopenia group compared to the non-sarcopenia group (hazard ratio = 7.57, 95% confidence interval = 0.94-62). Sarcopenia was a predictor of mortality in KTRs. KTRs with suboptimal muscle status who were at risk for poor survival could have a clinical benefit by interventions for sarcopenia.

Pulmonary congestion assessed by lung ultrasound in patients with severe aortic stenosis undergoing transcatheter aortic valve implantation: Prevalence and prognostic implications.

Lung ultrasound (LUS) is a sensitive tool to assess pulmonary congestion (PC). Few data are available on LUS-PC evaluation in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve implantation (TAVI). The aim of this study was to assess the prevalence and prognostic impact of LUS-PC in patients with severe AS before and after TAVI. We designed a single-centre prospective study in patients referred for TAVI for severe AS (ClinicalTrials.gov identification number: NCT05024942). All patients underwent echocardiography and LUS (according to a simplified 8-zone scanning protocol) the day before and within 72 h after the procedure. The primary endpoint was the composite of all-cause mortality, hospitalization for heart failure and urgent medical visits for worsening dyspnoea at 12-month follow-up. A total of 127 patients were enrolled (mean age 81.1 ± 5.8 years; 54.3% female). Pre-TAVI LUS-PC was documented in 65 patients (51%). After TAVI, the prevalence of LUS-PC significantly decreased as compared to pre-TAVI evaluation, being documented in only 28 patients (22% vs. 51%, p < 0.001) with a median B-lines score of 4 (interquartile range [IQR] 0-11) versus 11 (IQR 6-19) pre-TAVI (p < 0.001). During a median follow-up of 12 (12-17) months, 25 patients (19.6%) met the composite endpoint. On multivariable Cox regression analysis, pre-TAVI LUS-PC was independently associated with cardiovascular events (hazard ratio 2.764, 95% confidence interval 1.114-6.857; p = 0.028). Lung ultrasonography reveals a high prevalence of PC in patients with severe AS undergoing TAVI, which is significantly reduced by the procedure. Pre-TAVI PC, measured by LUS, is an independent predictor of 1-year clinical outcome.

Trends in Serum Shifts: Unveiling Hyperglycaemia Links PostCOVID-19 Vaccination.

Clinical endocrinology has observed emerging endocrine complications following COVID-19 vaccination, amidst successful reductions in COVID-19 hospitalizations and deaths. The Pfizer-BioNTech and Moderna mRNA vaccines have demonstrated efficacy. Reports indicate a potential association between SARS-CoV-2 vaccination and diabetes, exploring interactions with ACE-2 receptors and molecular mimicry. Additionally, altered liver and kidney function tests post-vaccination prompt investigation into their role in predicting type 2 diabetes. This study aims to explore these biochemical abnormalities in a case-control, single-centre prospective study. This prospective study aimed to evaluate a total of five hundred healthy donors, out of which 203 qualified for final analysis. Participants were selected based on their vaccination status with a COVID-19 vaccine and prior exposure to the SARS-CoV-2 virus. Donors without prior SARS-CoV-2 infection were excluded from the study. Included participants were adults who had received three doses of the COVID-19 vaccine. A total of 203 individuals were included in the study, comprising 104 with type 2 diabetes mellitus (T2DM) and 99 without. Demographic characteristics including age, sex, nationality, Rh factors, ABO blood groups, liver function tests (LFT), kidney function tests (KFT), lactate dehydrogenase (LDH), and mineral ion levels were analysed. Among the participants, the distribution based on HbA1c levels showed 47.8% with HbA1c &#60;7% classified as normal, 38.48% with HbA1c 8-10% classified as high, and 16.64% with HbA1c &#60;10% classified as uncontrolled diabetes. Significant findings included a decrease in magnesium levels to 0.77±0.82 mmol/L (p&#60;0.04*), an increase in LDH levels to 420.70±356.26 µL (p&#60;0.01*), and elevated levels of alkaline phosphatase (143.22 ± 142.62 µL, p&#60;0.001), gamma-glutamyl transferase (GGT) (55.70 ± 32.20 µL, p&#60;0.001), and serum bilirubin (9.23 ± 4.87 µmol/L, p&#60;0.001). Creatinine levels were significantly lower at 116.75 ± 101.94 µmol/L (p#60;0.001), while uric acid levels were significantly elevated at 305.92 ± 145.04 µmol/L (p&#60;0.001) in individuals with uncontrolled HbA1c &#60;10%. A majority of these individuals belonged to the O+ blood group. This study underscores significant shifts in serum biomarkers and their complex interplay with mRNA-based SARS-CoV-2 vaccination and diabetes, particularly in uncontrolled cases. The findings suggest potential autoimmune reactions triggered by the self-adjuvant properties of mRNA and polyethylene glycol lipid conjugates. Variations observed among different blood groups may correspond to racial disparities influencing molecular mimicry mechanisms. Despite these insights, the underlying pathophysiological mechanisms remain unclear, highlighting the critical need for further research to validate and expand upon these findings.

Ambulatory bariatric surgery: a prospective single-center experience.

Ambulatory bariatric surgery has recently gained interest especially as a potential way to improve access for eligible patients with severe obesity. Building on our previously published research, this follow-up study delves deeper in the evolving landscape of ambulatory bariatric surgery over a 3-year period, focusing on predictors of success/failure. In a prospective single-center follow-up study, we conducted a descriptive assessment of all eligible patients as per our established protocol, who underwent a planned same-day discharge (SDD) primary sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) between 03/01/2021 and 02/29/2024. Trends in SDD surgeries over time were assessed over six discrete 6month intervals. Primary endpoint was defined as a successful discharge on the day of surgery without emergency department visit or readmission within 24h. Secondary outcomes included 30-day postoperative morbidity. A total of 811 primary SG and 325 RYGB procedures were performed during the study period. Among them, 30% (n = 244) were SDD-SGs and 6% (n = 21) were SDD-RYGBs, respectively. At baseline, median age of the entire SDD cohort was 43years old, 81% were females, and body mass index (BMI) was 44.5kg/m2. The planned SDD approach was successful in 89% after SG (n = 218/244) and in 90% after RYGB (n = 19/21). Nausea/vomiting was the main reason for a failed SDD approach after SG (46%). The 30-day readmission rate was 1.5% (n = 4) for the entire SDD cohort including only one readmission in the first 24h. The percentage of SDD-SGs performed as a proportion of total SGs increased over the initial five consecutive six-month intervals (14%, 25%, 24%, 38%, and 49%). Our SDD protocol for bariatric surgery demonstrates a favorable safety profile, marked by high success rate and low postoperative morbidity. These outcomes have led to a continued increase in ambulatory procedures performed over time especially SG.

The Feasibility and Diagnostic Adequacy of PD-L1 Expression Analysis Using the Cytoinclusion Technique in Bladder Cancer: A Prospective Single-Center Study.

Background: Programmed death-ligand 1 (PD-L1) expression has been recognized as a potential biomarker for various cancers, yet its diagnostic and prognostic significance in urothelial bladder cancer (BCa) requires further investigation. Methods: In this prospective single-center study, we aimed to assess the feasibility and diagnostic adequacy of PD-L1 expression analysis using cytoinclusion in BCa patients. We enrolled consecutive patients undergoing endoscopic transurethral resection of bladder tumor (TURBT), repeat TURBT, or robot-assisted radical cystectomy. Urinary and tissue specimens were collected from these patients for cytoinclusion and histopathological analysis to evaluate PD-L1 expression. Results: Out of 29 patients, PD-L1 expression was detected from cytoinclusion in 42.8% (3 out of 7), 10% (1 out of 10), and 66.8% (8 out of 12) of patients with negative/papilloma, low-grade, and high-grade tumors, respectively. Conversely, histopathological analysis identified PD-L1 expression in 57.2% (4 out of 7), 30% (3 out of 10), and 83.3% (10 out of 12) of patients with negative/papilloma, low-grade, and high-grade tumors, respectively. The diagnostic concordance between cytoinclusion and histopathology was 85.7%, 80%, and 83.3% in patients with negative/papilloma, low-grade, and high-grade tumors, respectively. Conclusions: Our study underscores the promise of cytoinclusion as a minimally invasive method for quantifying urinary PD-L1 percentages. This approach could serve as both a potential prognostic and diagnostic indicator, easily obtainable from urine samples. Standardizing this technique could facilitate its widespread use as a valuable tool.

Whole-tumor histogram analysis of multiple non-Gaussian diffusion models at high b values for assessing cervical cancer.

To assess the diagnostic potential of whole-tumor histogram analysis of multiple non-Gaussian diffusion models for differentiating cervical cancer (CC) aggressive status regarding of pathological types, differentiation degree, stage, and p16 expression. Patients were enrolled in this prospective single-center study from March 2022 to July 2023. Diffusion-weighted images (DWI) were obtained including 15 b-values (0 ~ 4000s/mm2). Diffusion parameters derived from four non-Gaussian diffusion models including continuous-time random-walk (CTRW), diffusion-kurtosis imaging (DKI), fractional order calculus (FROC), and intravoxel incoherent motion (IVIM) were calculated, and their histogram features were analyzed. To select the most significant features and establish predictive models, univariate analysis and multivariate logistic regression were performed. Finally, we evaluated the diagnostic performance of our models by using receiver operating characteristic (ROC) analyses. 89 women (mean age, 55 ± 11 years) with CC were enrolled in our study. The combined model, which incorporated the CTRW, DKI, FROC, and IVIM diffusion models, offered a significantly higher AUC than that from any individual models (0.836 vs. 0.664, 0.642, 0.651, 0.649, respectively; p < 0.05) in distinguishing cervical squamous cell cancer from cervical adenocarcinoma. To distinguish tumor differentiation degree, except the combined model showed a better predictive performance compared to the DKI model (AUC, 0.839 vs. 0.697, respectively; p < 0.05), no significant differences in AUCs were found among other individual models and combined model. To predict the International Federation of Gynecology and Obstetrics (FIGO) stage, only DKI and FROC model were established and there was no significant difference in predictive performance among different models. In terms of predicting p16 expression, the predictive ability of DKI model is significantly lower than that of FROC and combined model (AUC, 0.693 vs. 0.850, 0.859, respectively; p < 0.05). Multiple non-Gaussian diffusion models with whole-tumor histogram analysis show great promise to assess the aggressive status of CC.

Navigated Intraoperative Ultrasound Offers Effective and Efficient Real-Time Analysis of Intracranial Tumor Resection and Brain Shift.

Neuronavigation is a fundamental tool in the resection of intracranial tumors. However, it is limited by its calibration to preoperative neuroimaging, which loses accuracy intraoperatively after brain shift. Therefore, surgeons rely on anatomic landmarks or tools like intraoperative MRI to assess the extent of tumor resection (EOR) and update neuronavigation. Recent studies demonstrate that intraoperative ultrasound (iUS) provides point-of-care imaging without the cost or resource utilization of an intraoperative MRI, and advances in neuronavigation-guided iUS provide an opportunity for real-time imaging overlaid with neuronavigation to account for brain shift. We assessed the feasibility, efficacy, and benefits of navigated iUS to assess the EOR and restore stereotactic accuracy in neuronavigation after brain shift. This prospective single-center study included patients presenting with intracranial tumors (gliomas, metastasis) to an academic medical center. Navigated iUS images were acquired preresection, midresection, and postresection. The EOR was determined by the surgeon intraoperatively and compared with the postoperative MRI report by an independent neuroradiologist. Outcome measures included time to perform the iUS sweep, time to process ultrasound images, and EOR predicted by the surgeon intraoperatively compared with the postoperative MRI. This study included 40 patients consisting of gliomas (n = 18 high-grade gliomas, n = 4 low-grade gliomas, n = 4 recurrent) and metastasis (n = 18). Navigated ultrasound sweeps were performed in all patients (n = 83) with a median time to perform of 5.5 seconds and a median image processing time of 29.9 seconds. There was 95% concordance between the surgeon's and neuroradiologist's determination of EOR using navigated iUS and postoperative MRI, respectively. The sensitivity was 100%, and the specificity was 94%. Navigated iUS was successfully used for EOR determination in glioma and metastasis resection. Incorporating navigated iUS into the surgical workflow is safe and efficient and provides a real-time assessment of EOR while accounting for brain shift in intracranial tumor surgeries.

Diagnostic accuracy of point-of-care cardiac ultrasound for acute coronary syndromes in patients presenting with chest pain to the emergency department: a single-center prospective study.

The diagnostic accuracy of focused cardiac ultrasound (FoCUS) performed in patients presenting to the emergency department (ED) with chest pain is currently unknown. The objective of this study was to assess the diagnostic accuracy of regional wall motion abnormalities detected with FoCUS for non-ST-elevation acute coronary syndrome (NSTE-ACS) diagnosis. A Single-center prospective observational study conducted in 2022 in the ED of the University Hospital Careggi, Italy. Adult patients presenting to the ED with acute nontraumatic chest pain were enrolled, irrespective of the presence of previous regional wall motion abnormalities. Patients with ST-segment elevation myocardial infarctions and patients with hemodynamic instability were excluded. FoCUS was performed at presentation by a trained ED physician. The final diagnosis of NSTE-ACS vs. alternative diagnosis was adjudicated by an ED physician blinded to FoCUS results after a 30-day follow-up. To assess if regional wall motion abnormalities were an independent predictor of NSTE-ACS, a multivariable logistic regression model was built. Diagnostic performance measures were calculated. A sensitivity analysis considering only type-1 NSTEMIs (i.e. plaque rupture/thrombosis) was conducted. Among 686 patients, NSTE-ACS was adjudicated in 106 (15.5%) patients, 67 of which were NSTEMIs. A total of 87 (12.7%) patients had regional wall motion abnormalities detected by FoCUS, which were an independent predictor of NSTE-ACS in the multivariable logistic regression analysis. Regional wall motion abnormalities had a sensitivity of 42.5% (33.0-51.9), a specificity of 92.8% (90.6-94.9), a negative predictive value of 89.8% (87.4-92.2), and a positive predictive value of 51.7% (41.2-62.2), for NSTE-ACS. Results were consistent in the sensitivity analysis. In ED patients with chest pain and no ST elevation, the detection of regional wall motion abnormalities was a predictor of NSTE-ACS. Despite a high specificity, which indicated a possible role of FoCUS in the rule-in of NSTE-ACS, sensitivity was too low to allow a safe rule-out using FoCUS results alone.

Diagnostic accuracy of point-of-care cardiac ultrasound for acute coronary syndromes in patients presenting with chest pain to the emergency department: a single-center prospective study.

The diagnostic accuracy of focused cardiac ultrasound (FoCUS) performed in patients presenting to the emergency department (ED) with chest pain is currently unknown. The objective of this study was to assess the diagnostic accuracy of regional wall motion abnormalities detected with FoCUS for non-ST-elevation acute coronary syndrome (NSTE-ACS) diagnosis. A Single-center prospective observational study conducted in 2022 in the ED of the University Hospital Careggi, Italy. Adult patients presenting to the ED with acute nontraumatic chest pain were enrolled, irrespective of the presence of previous regional wall motion abnormalities. Patients with ST-segment elevation myocardial infarctions and patients with hemodynamic instability were excluded. FoCUS was performed at presentation by a trained ED physician. The final diagnosis of NSTE-ACS vs. alternative diagnosis was adjudicated by an ED physician blinded to FoCUS results after a 30-day follow-up. To assess if regional wall motion abnormalities were an independent predictor of NSTE-ACS, a multivariable logistic regression model was built. Diagnostic performance measures were calculated. A sensitivity analysis considering only type-1 NSTEMIs (i.e. plaque rupture/thrombosis) was conducted. Among 686 patients, NSTE-ACS was adjudicated in 106 (15.5%) patients, 67 of which were NSTEMIs. A total of 87 (12.7%) patients had regional wall motion abnormalities detected by FoCUS, which were an independent predictor of NSTE-ACS in the multivariable logistic regression analysis. Regional wall motion abnormalities had a sensitivity of 42.5% (33.0-51.9), a specificity of 92.8% (90.6-94.9), a negative predictive value of 89.8% (87.4-92.2), and a positive predictive value of 51.7% (41.2-62.2), for NSTE-ACS. Results were consistent in the sensitivity analysis. In ED patients with chest pain and no ST elevation, the detection of regional wall motion abnormalities was a predictor of NSTE-ACS. Despite a high specificity, which indicated a possible role of FoCUS in the rule-in of NSTE-ACS, sensitivity was too low to allow a safe rule-out using FoCUS results alone.