Potential Predictors Research Articles

Process‐Informed Subsampling Improves Subseasonal Rainfall Forecasts in Central America

AbstractSubseasonal rainfall forecast skill is critical to support preparedness for hydrometeorological extremes. We assess how a process‐informed evaluation, which subsamples forecasting model members based on their ability to represent potential predictors of rainfall, can improve monthly rainfall forecasts within Central America in the following month, using Costa Rica and Guatemala as test cases. We generate a constrained ensemble mean by subsampling 130 members from five dynamic forecasting models in the C3S multimodel ensemble based on their representation of both (a) zonal wind direction and (b) Pacific and Atlantic sea surface temperatures (SSTs), at the time of initialization. Our results show in multiple months and locations increased mean squared error skill by 0.4 and improved detection rates of rainfall extremes. This method is transferrable to other regions driven by slowly‐changing processes. Process‐informed subsampling is successful because it identifies members that fail to represent the entire rainfall distribution when wind/SST error increases.

Post-traumatic Embitterment Disorder in UK Authorised Firearms Officers Following Post-incident Procedures: A Cross-Sectional Web Survey

In the United Kingdom, authorised firearms officers (AFOs) respond to the most serious threats, and in situations where a weapon is discharged may be subject to a post-incident investigation. The investigation may feel unjust and lead to post-traumatic embitterment disorder (PTED), however, there is a lack of research on PTED in this group. The current study estimated the prevalence, predictors, and outcomes of PTED in 40 UK AFOs with experience of a post-incident procedure following a firearms-related incident. An online cross-sectional survey was hosted on Qualtrics, and participants were recruited via a gatekeeper at one UK police force. PTED was assessed using the PTED self-rating scale. Potential predictors and outcomes were measured using surveys of personal and general belief in a just world (BJW), including belief in distributive justice (i.e., fair outcomes) and procedural justice (i.e., fair processes), anger, and social desirability. Participants reported whether they had post-traumatic stress disorder (PTSD) or depression, and whether they experienced the post incident investigation as more problematic than the firearms incident. Results showed 15% of participants displayed clinically relevant levels of PTED. Having a possible post-traumatic stress disorder and/or depression diagnosis, feeling as though the post-incident procedure and subsequent treatment were more problematic than the incident itself, and a lack of belief in personal distributive justice, increased the risk of experiencing PTED and PTED predicted increased feelings of anger. Measures are needed to ensure the post-incident procedure delivers fair outcomes and that AFOs are given the right targeted support throughout the process.

Evaluating immobilisation thresholds and suitability of conductive glove electrodes for largemouth bass electroanaesthesia

Although electroanaesthesia (immobilising fish with weak currents and direct electrode contact for short-term handling and surgeries) is becoming more common, detailed data on electroanaesthesia immobilisation thresholds and potential morphological predictors of such thresholds remain sparse. We administered electroanaesthesia to largemouth bass (Micropterus nigricans) over a large range of body sizes using conductive mesh gloves connected to a power supply with fine-scale current control and real-time output display, noting current strengths at which tetany occurred. We also investigated whether a range of morphological indices were correlated with the currents required to induce tetany as a proxy for electroanaesthesia. Larger fish required stronger currents before tetany was observed, and larger fish were also more likely to fail to reach tetany before the maximum output on the apparatus (30 V) was reached, a finding that was slightly offset by increasing condition factor. Body length was a suitable predictor of the current required to induce tetany; no other morphometric indices examined were superior to length in this regard. However, there was very high variability in current strengths required to induce electroanaesthesia, likely attributable to consistency challenges associated with the use of conductive mesh gloves as electrodes (e.g., location of contact, wear-and-tear on gloves). We explore the implications of our results for applications of electroanaesthesia in the field, and make recommendations for the development and implementation of novel technologies and best practices when using electroanaesthesia on fish.

Bell's Palsy as a Potential Predictor Factor for Stroke: A Systematic Literature Review

Introduction: Bell's palsy, which is caused by herpes simplex virus type 1 (HSV-1) and varicella-zoster virus (VZV), can be a marker for stroke. This study aims to identify and explain the potential of Bell's palsy as a predictor factor for stroke.
 Methods: The literature search process was carried out on various databases (PubMed, Web of Sciences, EMBASE, Cochrane Libraries, and Google Scholar) regarding Bell’s palsy and stroke. The search was performed using the terms: (1) " Bell’s palsy" OR "morbidity" AND (2) "stroke". This study follows the preferred reporting items for systematic reviews and meta-analysis (PRISMA) recommendations.
 Results: There are three studies included in this review. A study by Lee et al. stated that there was a significant value in the group of patients aged over 45 years with low socioeconomic status and patients with a history of hypertension, hyperlipidemia, and coronary artery disease (p < 0.005). A study by Kim et al. stated that the Bell's Palsy group had a hazard ratio (HR) (1.19-2.02) for the development of stroke in the future. Meanwhile, a study by Lee et al. showed a significantly higher cumulative incidence of ischemic stroke in Bell's palsy (P < 0.001) compared with controls, which was different from hemorrhagic stroke (P = 0.141).
 Conclusion: Bell's palsy acts as a simple predictor of stroke.

Predictors of extubation failure and prolonged mechanical ventilation among patients with intracerebral hemorrhage after surgery

BackgroundSpontaneous intracerebral hemorrhage (ICH) is a condition associated with high mortality and morbidity. Survivors may require prolonged intubation with mechanical ventilation (MV). The aim of this study was to analyze the predictors of extubation failure and prolonged MV in patients who undergo surgical evacuation.MethodsThis retrospective study was conducted on adult patients with ICH who underwent MV for at least 48 h and survived > 14 days after surgery. The demographics, clinical characteristics, laboratory tests, and Glasgow Coma Scale score were analyzed.ResultsA total of 134 patients with ICH were included in the study. The average age of the patients was 60.34 ± 15.59 years, and 79.9% (n = 107) were extubated after satisfying the weaning parameters. Extubation failure occurred in 11.2% (n = 12) and prolonged MV in 48.5% (n = 65) patients. Multivariable regression analysis revealed that a white blood cell count > 10,000/mm3 at the time of extubation was an independent predictor of reintubation. Meanwhile, age and initial Glasgow Coma Scale scores were predictors of prolonged MV.ConclusionsThis study provided the first comprehensive characterization and analysis of the predictors of extubation failure and prolonged MV in patients with ICH after surgery. Knowledge of potential predictors is essential to improve the strategies for early initiation of adequate treatment and prognosis assessment in the early stages of the disease.

Ferritin and Ferritin-to-Hemoglobin Ratio as Promising Prognostic Biomarkers of Severity in Acute Pancreatitis-A Cohort Study.

Acute pancreatitis is an inflammation of the pancreas with variable outcomes depending on its severity. Multiple systems of prediction have been proposed, each with variable specificity and sensitivity and with uneven clinical use. Ferritin is a versatile protein associated with various acute and chronic conditions. In our study, we aimed to assess the association of serum ferritin and the ferritin-to-hemoglobin ratio (FHR) with the severity of acute pancreatitis. A retrospective study was conducted in our hospital from January 2020 to September 2022 and included 116 patients with acute pancreatitis (graded according to the revised Atlanta classification). Serum ferritin and FHR were determined next to established laboratory parameters in the first 24 h following admission (hematological parameters, amylase, lipase, C-reactive protein, D-dimers, lactate dehydrogenase). We performed a receiver operating characteristic curve analysis for potential predictors. Also, we made correlations and conducted univariate and multivariate analyses for all potential severity biomarkers. The median values of serum ferritin and FHR differed significantly between patients with severe acute pancreatitis and mild cases (serum ferritin: 352.40 vs. 197.35 ng/mL, p = 0.011; FHR: 23.73 vs. 13.74, p = 0.002) and between patients with organ failure and those without organ failure (serum ferritin: 613.45 vs. 279.65 ng/mL, p = 0.000; FHR: 48.12 vs. 18.64, p = 0.000). The medians of the serum ferritin and FHR levels were significantly higher in non-survivors compared with survivors (serum ferritin: 717.71 vs. 305.67 ng/mL, p = 0.013; FHR: 52.73 vs. 19.58, p = 0.016). Serum ferritin and FHR were good predictors for organ failure and mortality, next to D-dimers and procalcitonin (AUC > 0.753 for organ failure and AUC > 0.794 for mortality). In univariate regression analysis, serum ferritin and FHR were independent variables for moderate-severe forms of acute pancreatitis. Still, adjusting the multivariate analysis, only FHR remained a significant predictor. The cut-offs for serum ferritin and FHR for predicting organ failure were 437.81 ng/mL (sensitivity, 71%; specificity, 75%) and 45.63 (sensitivity, 61%; specificity, 88%), and those for mortality during hospitalization were 516 ng/mL (sensitivity, 83%; specificity, 74%) and 51.58 (sensitivity, 66%; specificity, 86%). Serum ferritin and the ferritin-to-hemoglobin ratio stood out in this study as valuable and accessible predictors of disease severity in the early assessment of acute pancreatitis, next to established severity serum markers (CRP, fibrinogen, D-dimers).

Depression and anxiety in female refugees from East Africa and the Middle East displaced to Germany: cross-sectional results of the female refugee study, taking sociodemographic and migration-related factors into account.

At the end of 2022, 108.4 million people around the world were forcibly displaced, the highest number ever recorded. Of these, 50% were women. Despite this situation, little is known about the mental health of female refugees. The first aim of this study was to examine the prevalence of depression and anxiety symptoms among female refugees in Germany. The second aim was to examine which sociodemographic and migration-related variables have an impact on refugees' mental health, and the third aim was to assess the potential predictors of their mental health. A sample of 92 female refugees from East Africa and the Middle East living in Germany were interviewed. Symptoms of depression and anxiety were assessed using the Hopkins Symptom Checklist (HSCL-25). The experience of potentially traumatic events (PTEs) was assessed using the Posttraumatic Diagnostic Scale (PDS) and the Harvard Trauma Questionnaire (HTQ). In our sample of female refugees, 65.2% reported symptoms of depression, and 60.9% reported symptoms of anxiety. Symptoms of depression or anxiety were associated with being from the Middle East, having a higher level of education, and reporting more PTEs. The multiple regression model for anxiety was able to explain 32.4% of the variance in anxiety symptoms. The findings highlight the high burden of mental health problems that female refugees bear. The identified predictors of depressive and anxiety symptoms should sensitize medical and refugee professionals to identify vulnerable individuals and groups, refer them to appropriate psychological treatment, and, where possible, modify the identified predictors.

Collinsella aerofaciens as a predictive marker of response to probiotic treatment in non-constipated irritable bowel syndrome

ABSTRACT Probiotics are exploited for adjuvant treatment in IBS, but reliable guidance for selecting the appropriate probiotic to adopt for different forms of IBS is lacking. We aimed to identify markers for recognizing non-constipated (NC) IBS patients that may show significant clinical improvements upon treatment with the probiotic strain Lacticaseibacillus paracasei DG (LDG). To this purpose, we performed a post-hoc analysis of samples collected during a multicenter, double-blind, parallel-group, placebo-controlled trial in which NC-IBS patients were randomized to receive at least 24 billion CFU LDG or placebo capsules b.i.d. for 12 weeks. The primary clinical endpoint was the composite response based on improved abdominal pain and fecal type. The fecal microbiome and serum markers of intestinal (PV1 and zonulin), liver, and kidney functions were investigated. We found that responders (R) in the probiotic arm (25%) differed from non-responders (NR) based on the abundance of 18 bacterial taxa, including the families Coriobacteriaceae, Dorea spp. and Collinsella aerofaciens, which were overrepresented in R patients. These taxa also distinguished R (but not NR) patients from healthy controls. Probiotic intervention significantly reduced the abundance of these bacteria in R, but not in NR. Analogous results emerged for C. aerofaciens from the analysis of data from a previous trial on IBS with the same probiotic. Finally, C. aerofaciens was positively correlated with the plasmalemmal vesicle associated protein-1 (PV-1) and the markers of liver function. In conclusion, LDG is effective on NC-IBS patients with NC-IBS with a greater abundance of potential pathobionts. Among these, C. aerofaciens has emerged as a potential predictor of probiotic efficacy.

Predictors of progression of multiple sclerosis in a sample of Egyptian patients

BackgroundMultiple sclerosis (MS) is a multifactorial neurodegenerative autoimmune disease with a varied clinical course and presentation, which is more frequent than ever in the Middle East. The aim of this work is to investigate potential predictors of MS progression in order to help in early diagnose and predict progressive course of the disease.ResultsThis is a retrospective case–control study conducted on a group of multiple sclerosis (MS) patients who developed secondary progression of the disease course (SPMS). The cases were matched with control MS patients who did not develop any disease progression (relapsing remitting MS (RRMS)). The matching was done for sex, and age with a ratio 1:1, total of 150 patients were included as cases and were matched with 150 control patients. Significant associations between MS progression and smoking, vitamin D deficiency, disease duration, delay in MS diagnosis, unemployment, site and number of lesions, and number of black holes were reported. About half of SPMS patients (53.3%) had 3 or more spinal lesions compared to only 1.4% of RRMS patients (p < 0.001). Moreover, about 76% of RRMS patients had no black holes in their radiological finding, while it was found that 35.3% of the SPMS patients had more than 5 black holes, compared to 8% of RRMS patients. Additionally, juxta-cortical site lesions were more frequent in SPMS than that in RRMS in a percentage 72.7 and 46%, respectively. Also, infra-tentorial lesions were found to be more frequent in SPMS group rather than RRMS group 92% and 78.7%, respectively.On the other hand, a lower SDMT scale was associated with a shorter time to SPMS diagnosis in the multivariate Cox regression analysis adjusted to baseline factors and 25-FWT (HR: 0.928, 95% CI: 0.906–0.95).ConclusionsMS secondary progression can be predicted among MS patients in routine practice comprising exposure history, clinical assessment, laboratory findings, and radiological examinations.

Heart rate complexity helps mortality prediction in the intensive care unit: A pilot study using artificial intelligence

BackgroundIn intensive care units (ICUs), accurate mortality prediction is crucial for effective patient management and resource allocation. The Simplified Acute Physiology Score II (SAPS-2), though commonly used, relies heavily on comprehensive clinical data and blood samples. This study sought to develop an artificial intelligence (AI) model utilizing key hemodynamic parameters to predict ICU mortality within the first 24 h and assess its performance relative to SAPS-2. MethodsWe conducted an analysis of select hemodynamic parameters and the structure of heart rate curves to identify potential predictors of ICU mortality. A machine-learning model was subsequently trained and validated on distinct patient cohorts. The AI algorithm’s performance was then compared to the SAPS-2, focusing on classification accuracy, calibration, and generalizability. Measurements and main resultsThe study included 1298 ICU admissions from March 27th, 2015, to March 27th, 2017. An additional cohort from 2022 to 2023 comprised 590 patients, resulting in a total dataset of 1888 patients. The observed mortality rate stood at 24.0%. Key determinants of mortality were the Glasgow Coma Scale score, heart rate complexity, patient age, duration of diastolic blood pressure below 50 mmHg, heart rate variability, and specific mean and systolic blood pressure thresholds. The AI model, informed by these determinants, exhibited a performance profile in predicting mortality that was comparable, if not superior, to the SAPS-2. ConclusionsThe AI model, which integrates heart rate and blood pressure curve analyses with basic clinical parameters, provides a methodological approach to predict in-hospital mortality in ICU patients. This model offers an alternative to existing tools that depend on extensive clinical data and laboratory inputs. Its potential integration into ICU monitoring systems may facilitate more streamlined mortality prediction processes.

Effective digital support for autism: digital social stories.

Social Stories™ is one of the most popular interventions for autistic children and has been researched extensively. However, effectiveness data has been gathered mainly through single-participant designs which generate outcomes which can lack generalizability and social validity. Stories Online For Autism (SOFA) is a digital application which supports the development and delivery of Social Stories in a real-world setting and has the potential to contribute toward furthering (1) Social Stories research and (2) research on digital applications for autism by gathering large data sets from multiple participants. Three data sets (N = 856) were gathered through the SOFA app and were analyzed to investigate three key variables: What predicted closeness-to-goal of the Social Stories (as rated by an adult/parent/guardian, n = 568); the child's comprehension of the Social Stories (assessed by story comprehension questions, n = 127); and the child's rating of the enjoyability of the Social Stories (n = 161). A merged data set then investigated correlations between these three key variables. Age range (≤15), gender, autism diagnosis, and the child's level of language understanding were the potential predictors for these three key variables. Regression analysis indicated that parental closeness-to-goal ratings for their children were highest for children who were younger and more verbal. Regression analysis also indicated that older children scored higher in comprehension assessment, and autistic children rated the Social Stories as more enjoyable. Closeness-to-goal, comprehension scores and enjoyment ratings did not significantly correlate with each other. This is the largest study of Social Stories effectiveness, which was enabled through the collection of data through a digital app from multiple participants. The results indicate that digital social stories are particularly effective for younger verbal children. While this was the case for all children, it was particularly true for autistic children and female (and gender-diverse) children. For the first time, the gathering of large digital data sets has highlighted that while digital Social Stories can be effective for autistic males, they can be more effective for autistic females and gender-diverse autistic individuals. Thus, the SOFA app can support the investigation of the factors which influence Social Stories outcomes that are generalizable and with high social validity.

Predictors of prolonged hospital stay in patients undergoing lung resection

Purpose To identify potential predictors of prolonged length of hospital stay in patients submitted to lung resection surgery. Materials and methods This is a cohort study, carried out in 105 patients with lung cancer, submitted to posterolateral thoracotomy pulmonary resection. Data collection included preoperative assessment of demographic, clinical, pulmonary function, respiratory muscle function, physical fitness, and behavioral habits. After surgery, length of hospital stay was documented, and the sample was divided into two groups according to the length of hospital stay (LOS): the normal hospital stay group (NLOS) until 8 days, and the prolonged hospital stay group (PLOS) with more than 8 days of hospital stay. Multiple linear regressions were performed between length of hospital stay and the studied variables, for the total sample and, specifically, for the PLOS group. Results The multiple linear regression for the total sample, the most explanatory power variables were TLC, MIP, PEF, and BMI. When considering only the PLOS, the variables that mostly explained were the MIP%, MEP and TLC%. Conclusion Besides the classic outcomes used to calculate surgical risk, the body mass index, respiratory muscle strength, peak expiratory flow, and total lung capacity are predictors of the variation on length of hospital stay in patients submitted to lung resection.

Interpretable machine learning for in-hospital mortality risk prediction in patients with ST-elevation myocardial infarction after percutaneous coronary interventions

Background and objectiveDespite the constant improvement of coronary heart disease (CHD) diagnostics and treatment methods it remains one of the main causes of death in most countries around the world. And myocardial infarction with ST segment elevation on the electrocardiogram (STEMI) still is one of the most dangerous clinical variants of CHD. This study aims to develop an explainable machine learning model for in-hospital mortality (IHM) risk prediction in STEMI patients after myocardial revascularization by percutaneous coronary intervention (PCI). MethodsA single-center observational retrospective study was conducted, enrolling 4677 electronic medical records of patients with STEMI after PCI, which were analyzed using statistical analysis and machine learning methods. A pool of potential IHM predictors was identified, and prognostic models were developed and validated based on multivariate logistic regression, random forest, and stochastic gradient boosting methods at two stages of hospital treatment: during the initial physicians examination in the emergency department and immediately after PCI surgery. To explain the IHM prognosis, threshold values of IHM risk factors were determined using 3 grid search methods for optimal cut-off points, calculating centroids and SHapley Additive exPlanations (SHAP). ResultsIHM prognostic models were developed using clinical and functional status data of STEMI patients during two stages of hospital treatment. The IHM prediction accuracy according to the first scenario was AUC = 0.85, and according to the second - AUC = 0.9. Predictors identified and validated in the models were converted into risk factors. Models whose parameters were risk factors demonstrated high forecast accuracy (AUC = 0.87), with the best model formed using the SHAP method. ConclusionsFor the forecast result interpretation risk factors obtained by categorizing continuous variables can be used by assessing the impact of the latter on the end point using the SHAP method.

Chemical and perfusion markers as predictors of moyamoya disease progression and complication types

To investigate the association between chemical markers (triglyceride, C-reactive protein (CRP), and inflammation markers) and perfusion markers (relative cerebral vascular reserve (rCVR)) with moyamoya disease progression and complication types. A total of 314 patients diagnosed with moyamoya disease were included. Triglyceride and CRP levels were assessed and categorized based on Korean guidelines for dyslipidemia and CDC/AHA guidelines, respectively. Perfusion markers were evaluated using Diamox SPECT. Cox proportional hazard analysis was performed to examine the relationship between these markers and disease progression, as well as complication types (ischemic stroke, hemorrhagic stroke, and rCVR deterioration). Elevated triglyceride levels (≥ 200) were significantly associated with higher likelihood of end-point events (HR: 2.292, CI 1.00–4.979, P = 0.03). Severe decreased rCVR findings on Diamox SPECT were also significantly associated with end-point events (HR: 3.431, CI 1.254–9.389, P = 0.02). Increased CRP levels and white blood cell (WBC) count were significantly associated with moyamoya disease progression. For hemorrhagic stroke, higher triglyceride levels were significantly associated with end-point events (HR: 5.180, CI 1.355–19.801, P = 0.02). For ischemic stroke, severe decreased rCVR findings on Diamox SPECT (HR: 5.939, CI 1.616–21.829, P < 0.01) and increased CRP levels (HR: 1.465, CI 1.009–2.127, P = 0.05) were significantly associated with end-point events. Elevated triglyceride, CRP, and inflammation markers, as well as decreased rCVR, are potential predictors of moyamoya disease progression and complication types. Further research is warranted to understand their role in disease pathophysiology and treatment strategies.

Predictive value of maternal serum placental growth factor levels for discordantfetal growthin twins: a retrospective cohort study.

Accurate prenatal recognition of discordantfetal growth in twins is critical for deciding suitable management strategies. We explored the predictive value of the level of maternal second-trimester placental growth factor (PLGF) as a novel indicator of discordantfetal growth. A total of 860 women pregnant with twins were enrolled, including 168 women with monochorionic twins (31 cases of discordant fetal growth and 137 without) and 692 with dichorionic twins (79 cases of discordant fetal growth and 613 without). Maternal second-trimester PLGF concentrations were measured via immunofluorescence. Maternal second-trimester PLGF levels were significantly lower in women pregnant with twins who subsequently developed discordant fetal growth than in those who did not (monochorionic twin pregnancy: P < 0.001; dichorionic twin pregnancy: P < 0.001). A 3-4 fold difference in median PLGF concentrations was detected between the two groups with both monochorionic and dichorionic twin pregnancies. Maternal second-trimester PLGF levels were significantly correlated with birth weight differences (monochorionic twin pregnancy: r = - 0.331, P < 0.001; dichorionic twin pregnancy: r = - 0.234, P < 0.001). A receiver operating characteristic curve was used to evaluate the predictive efficiency. In monochorionic twin pregnancies, the area under the curve (AUC) was 0.751 (95% confidence interval [CI]: 0.649-0.852), and the cutoff value was 187.5pg/mL with a sensitivity of 77.4% and specificity of 71.0%. In dichorionic twin pregnancies, the AUC was 0.716 (95% CI; 0.655-0.777), and the cutoff value was 252.5pg/mL with a sensitivity of 65.1% and specificity of 69.6%. Based on the above cutoff values, univariate and multivariate logistic regression analyses were performed to calculate the odds ratios (OR) for the PLGF levels. After adjustment for potential confounding factors, low PLGF concentrations still significantly increased the risk of discordant fetal growth (monochorionic twin pregnancy: adjusted OR: 7.039, 95% CI: 2.798-17.710, P < 0.001; dichorionic twin pregnancy: adjusted OR: 4.279, 95% CI: 2.572-7.120, P < 0.001). A low maternal second-trimester PLGF level is considered a remarkable risk factor and potential predictor of discordant fetal growth. This finding provides a complementary screening strategy for the prediction of discordant fetal growth and offers a unique perspective for the subsequent research in this field.

Association between cup orientation and low back pain after total hip arthroplasty in patients with osteonecrosis of the femoral head

BackgroundPostoperative low back pain (LBP) following total hip arthroplasty (THA) is classified as secondary hip-spine syndrome. The purpose of this study was to explore the correlations between cup orientation of THA and postoperative LBP in patients with osteonecrosis of the femoral head (ONFH).MethodsA retrospective cohort study included 364 ONFH patients who underwent bilateral THA between January 2011 and December 2020. Among them, 53 patients (14.6%) experienced postoperative LBP at the end of follow-up and were designated as pain group (PG). A control group (CG) consisting of 106 patients with similar age, sex, and body mass index (BMI) to those in the PG was selected. Postoperative LBP in the PG was assessed using the visual analogue scale (VAS). Demographic data, clinical information, and radiographic criteria were evaluated as potential predictors of LBP.ResultsPatients in PG (mean age, 47.3 years [range, 27 to 75 years]; 42 [79%] male) had a mean VAS score of 4.6 (range, 1 to 9) compared with 0 for the patients in CG (mean age, 47.6 years [range, 19 to 77 years]; 84 [79%] male). There were no significant differences in clinical data between the two groups (p > 0.05). Preoperative radiographic variables also showed no significant differences between the PG and CG (p > 0.05). However, the postoperative inclination, anteversion, and standing ante-inclination (AI) were significantly lower in the PG compared to the CG, whereas the sitting and standing sacral slope (SS) were significantly higher (p < 0.05). Moreover, the variations in standing AI, standing and sitting pelvic tilt (PT) were significantly lower in the PG compared to the CG, while the variations in standing and sitting SS and lumbar lordosis (LL) were significantly higher (p < 0.05). The variation in standing AI in the PG showed a significantly correlation with the variation of standing SS, standing PT, and LL (p < 0.05).ConclusionPostoperative LBP in ONFH patients after bilateral THA is significantly associated with the intraoperative cup orientation. The variation in standing AI is correlated with the variations in standing SS, standing PT, and LL, potentially contributing to the development of postoperative LBP.

Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia

ObjectiveTo determine if potential predictors for invasive mechanical ventilation (IMV) are also determinants for mortality in COVID-19-associated acute respiratory distress syndrome (C-ARDS). DesignSingle center highly detailed longitudinal observational study. SettingTertiary hospital ICU: two first COVID-19 pandemic waves, Madrid, Spain. Patients or participants: 280 patients with C-ARDS, not requiring IMV on admission. InterventionsNone. Main variables of interest: Target: endotracheal intubation and IMV, mortality.Predictors: demographics, hourly evolution of oxygenation, clinical data, and laboratory results. ResultsThe time between symptom onset and ICU admission, the APACHE II score, the ROX index, and procalcitonin levels in blood were potential predictors related to both IMV and mortality. The ROX index was the most significant predictor associated with IMV, while APACHE II, LDH, and DaysSympICU were the most with mortality. ConclusionsAccording to the results of the analysis, there are significant predictors linked with IMV and mortality in C-ARDS patients, including the time between symptom onset and ICU admission, the severity of the COVID-19 waves, and several clinical and laboratory measures. These findings may help clinicians to better identify patients at risk for IMV and mortality and improve their management.

Shared decision making in the treatment of pediatric strabismus

PurposeTo quantify the results of shared decision making in pediatric strabismus surgery from the parent perspective using the nine-item Shared Decision Making (SDM) Questionnaire and the associations of SDM score with parental education level; secondarily, to evaluate postoperative parental satisfaction as a function of child age, parental education level, SDM scores, and motor outcomes. MethodsConsecutive parents of children 2-14 years of age with concomitant manifest strabismus that consented to strabismus surgery were surveyed using the SDM Questionnaire. A four-point Likert scale was used to gauge the level of postoperative satisfaction (POS). Potential predictors were estimated in multivariate regression analysis, with results adjusted for education level, children’s age, and motor outcomes. ResultsA total of 100 parents (86 women) completed the survey and were included. Significant differences for SDM score were found between individuals with university-level versus the other three educational levels (P < 0.001 for primary and secondary levels; P = 0.017 for college or lyceum level). Categorical regression analysis showed that POS level was inversely correlated with education level and positively correlated with SDM score. Children’s age at time of surgery and postoperative motor outcome were not significantly associated with POS. ConclusionsIn our study cohort, SDM score was correlated with educational level. Satisfaction was greater among responders with higher SDM scores, indicating that SDM may help improve parent-reported satisfaction with treatment results.

Biomaterials augmented with filtered bone marrow aspirate for the treatment of talar osteochondral lesions. A comparison of clinical and cellular parameters.

Biomaterials augmented with Bone Marrow Aspirate Concentrate (BMAC) are becoming increasingly utilized in the cartilage treatment. However, the potential role of cellular parameters in the intraoperatively applied BMAC have yet to be elucidated. (A) To evaluate clinical outcomes and safety of a combined single-step approach with scaffolds (fibrin glues, collagen gels, collagen-hydroxyapatite membrane) and filtered Bone Marrow Aspirate (fBMA) for the treatment of osteochondral lesions of the talus (OLTs). (B) To identify significant factors for postoperative improvements, considering cellular parameters as potential predictors. All the patients operated on due to OLTs by the combination above were selected from the hospital registry database (35 pts, years 16-55, and minimally 1year follow-up). Treatment outcomes were followed clinically with Patient-reported outcome measures (PROMs), and by pursuing serious adverse events (SAE) and graft failures (GF). Cellular parameters of the injected fBMA were determined. Pre- and postoperative PROMs values were compared to evaluate postoperative improvements. Multivariable regression models were applied to identify potential factors (demographics, medical history, joint and lesion characteristics, scaffold type, surgical and cellular parameters) that predict the treatment outcomes. At the mean follow-up of 32.2 (12.5) months, all Foot and Ankle Outcome Score (FAOS) and European Quality of Life in Five Dimensions Three-Level (EQ-5D-3L) values improved significantly. 4 (11%) SAE (3 arthrofibrosis, one hardware removal), and 3 (9%) GF occurred. Female gender and concomitant procedures were the main negative predictors for postoperative outcomes. The number of fibroblast colony forming units (CFU-F) or their proportion among total nucleated cells (CFU-F/TNC) were positively correlated with the improvements of some PROMs. Scaffolds augmented with fBMA proved as an adequate and safe approach for OLTs treatment. Cellular parameters seem to influence the treatment outcomes, thus further attention should be given to the intraoperatively applied products. Level IV.

Monocyte-to-High-Density Lipoprotein-Cholesterol Ratio Predicts Prognosis of Hepatocellular Carcinoma in Patients with Metabolic-Associated Fatty Liver Disease.

The incidence of non-B and non-C hepatocellular carcinoma (NBNC-HCC) is increasing globally. Metabolically associated fatty liver disease (MAFLD) has been a contributing factor to this rising trend in NBNC-HCC incidence. The monocyte-to-high-density lipoprotein-cholesterol ratio (MHR) is a new prognostic marker that connects systemic inflammation with disorders of lipid metabolism. Therefore, MHR may be a potential prognostic predictor of patients with MAFLD-related HCC (MAFLD-HCC). This study aims to investigate the relationship between the MHR and prognosis of patients with MAFLD-HCC and construct a novel prognostic prediction tool for MAFLD-HCC. This retrospective study of patients with MAFLD-HCC included training (n = 112) and internal validation (n = 37) cohorts. Univariate and multivariate Cox proportional hazard regression analysis was conducted to identify independent risk factors of survival. A visual nomogram was constructed to assess the performance of the two groups. Furthermore, receiver operating characteristic (ROC) curves and calibration curves were used to verify the prognostic discriminative ability of this nomogram, even in the MHR, ALBI grade, and MHR-ALBI model. Univariate and multivariate analyses revealed that extrahepatic metastases, Vascular invasion, Barcelona staging B, C, D, elevated ALBI Grade 3, C-reactive protein (CRP), and MHR were independent risk factors for the prognosis of MAFLD-HCC. Moreover, calibration plots showed good discrimination and consistency when the significant factors were entered into the nomogram. Meanwhile, the MHR strongly correlated with the prognosis of cancer under a background of MAFLD-HCC, with a sensitivity of 88.89% and a specificity of 79.61%. Importantly, the performance of the MHR alone (AUC = 86.2) was not only superior to the ALBI grade (AUC = 63.8) but was comparable to the combination of MHR and ALBI (AUC = 88.5). The novel nomogram demonstrated good value in predicting the overall survival of patients with MAFLD-HCC. The MHR may be a potential predictor of prognosis.