bluuebunny/crossref_metadata_2025_split huggingface dataset:
ICP variability associates with 3-month outcomes in spontaneous intracerebral hemorrhage: a retrospective analysis of 597 patients
Authors: Yang Lei , Wang Mei-Hua , Song Jie , Bao Yi-Feng , Yuan Qiang , Wang Yue , Hu Jin , Yu Jian , Wu Gang , Zhao Jian-Lan 
Published: February 2024

Abstract
Background
Invasive intracranial pressure (ICP) monitoring is frequently employed in spontaneous intracerebral hemorrhage (ICH) treatment, but its benefit to ICH patients’ outcomes is debated. ICP variability (IPV) has been linked to poor outcomes in patients with subarachnoid hemorrhage (SAH) and traumatic brain injury (TBI), but this association with outcomes in ICH has yet to be definitively established. We hypothesized that IPV within the initial 72 hours following ICP probe insertion is predictive of outcomes in ICH patient.
Methods
A retrospective chart review analysis of adult ICH patients, who received ICP monitoring at Huashan Hospital Fudan University between Jan. 2016 and Jan. 2023, was performed. We included ICH patients within 6 hours of signs or symptoms onset. Outcomes of ICH patients were assessed using 3-month mRS, and were dichotomized into poor (mRS 4 to 6) and good (mRS 0 to 3) outcome group. ICPs were recorded from the implantation of invasive ICP probe until it was removed. ICP was analyzed in the acute period, from 0 to 72 hours after ICP implantation. IPV was analyzed by SD (Standard deviation), CV (Coefficient of variation) and SV (Successive variation) of ICP.
Results
We analyzed 597 patients’ charts. The 1st ICP assessment, immediately after ICP implantation, at median 117 minutes (interquartile range, 82–231 minutes) after admission was mean 20.5 ± 7.8 mmHg. The 2nd ICP assessment, on NICU arrival after operation, was mean 14.6 ± 8.3 mmHg. Poor outcomes occurred in 213 patients (35.68%). In univariate analysis, univariate quintile analysis or multivariate analysis, SBPSD, SBPCV and SBPSV were associated with poor outcomes.
Conclusions
IPV within the first 72 hours post-ICP probe implantation in ICH patients independently correlates with poor 3-month functional outcome. Stabilization of IPV with initial 72 hours following ICP probe insertion maybe a potential therapeutic target to improve functional outcomes of these patients.
Comparison of medial cuboid/cuneiform osteotomy technique with medial cuneiform/metatarsal osteotomy in correction of residual metatarsus adductus deformity
Authors: Gholipour Morteza , Bonakdar Sona , Gorji Mona Gorji , Minaei Reza 
Published: February 2024

Abstract
Background: Treatment of metatarsus adductus (MA) is surgical in cases of nonresponse to non-operative treatment. Several surgical procedures have been described to correct MA, including soft tissue release or bone osteotomy. So far in the previous literature, the preference of any other osteotomy has not been done Therefore, our aim in this study was to evaluate the extent of foot fore deformity by osteotomy based on radiographic criteria.
Patients and Methods: This was a retrospective study from July 2019 to July 2020, which included 22 patients (30 feet), ranging in age from 5 to 14 years, who were admitted with a diagnosis of MT and underwent corrective osteotomy. Radiographs of deformity corrections in the AP view (tarso-first metatarsal angle –calcane-second metatarsal angle -cuboid length and the laterah view ,medial cunieform length an, length of cuboid and medial length of cunieform were examined.
Results: Thirty patients (40 feet) were diagnosed with MA deformity. A total of 22 patients (30 feet) underwent corrective osteotomy. The mean age of patients in the first group was 8.87±3.56 years (means: 3-14 years) and the second group was 8±2.46 years (means: 13-13 years). In terms of sex distribution, eight patients were female and 14 patients were male. surgery has improved the angles and length of the medial and lateral columns in control radiographs after surgery and three months later,in both group and the adductus deformity has been significantly corrected (p<0.05). However, both types of osteotomies had acceptable deformity improvement results within 3 months in terms of radiographic criteria, but there is no statistically significant difference (P >0.05) between preoperative and postoperative and three months of follow-up in radiographic parameters of the two groups and only this amount was significant in medial cunieform length correction in lateral radiograph and statistically Was significant. (P<0.05). There is no statistical difference in terms of changes in values in terms of angle and length in the two osteotomy methods (P>0.05).
Conclusion: Due to complete deformity corrections and high patient satisfaction in both groups, none of the conventional osteotomy methods (cuboid-medial cunieform and medial cunieform-metatarsal 2-5) was superior to the other and both methods were safe. It is effective for cases of idiopathic idiopathic MA and clubfoot cases.
Level of evidence: IV
Development and validation of a clinical prediction model for concurrent pulmonary infection in convalescent patients with intracerebral hemorrhage
Authors: Xu Jixiang , Li Yan , Li Shaomin , Han Xiaoxiao , QI Ynliang , Zhou Xiaomei 
Published: February 2024

Abstract
Objectives: This study aims to develop and validate a clinical prediction model for assessing the risk of concurrent pulmonary infection（PI）in patients recovering from intracerebral hemorrhage（ICH）.
Methods: In this retrospective study, we compiled clinical data from 761 patients in the recovery phase of intracerebral hemorrhage, with 504 cases included in the PI group and 254 in the no PI group. Initially, univariate logistic regression was used to screen predictive factors. Subsequently, the Least Absolute Shrinkage and Selection Operator (LASSO) regression was employed to optimize these predictors. Variables identified from LASSO regression were included in a multivariable logistic regression analysis, incorporating variables with P < 0.05 into the final model. A nomogram was constructed, and its discriminative ability was evaluated using the Receiver Operating Characteristic (ROC) curve and Area Under the Curve (AUC). Model performance was assessed using calibration plots and the Hosmer-Lemeshow goodness-of-fit test (HL test). Additionally, the net clinical benefit was evaluated through clinical decision curve （DOC）analysis.
Results Key predictors of PI included age, antibiotic use, consciousness disturbances, tracheotomy, dysphagia, bed rest duration, nasal feeding, and procalcitonin levels. The model demonstrated strong discrimination (C-index: 0.901, 95%CI: 0.878~0.924) and fit (Hosmer-Lemeshow test P=0.982), with significant clinical utility as per DCA.
Conclusion This study constructed a nomogram prediction model based on the demographic and clinical characteristics of convalescent patients with intracerebral hemorrhage. Further studies showed that this model is of great value in the prediction of pulmonary infection in convalescent patients with intracerebral hemorrhage.
Electronic structure and superconductivity in bilayer La3Ni2O7
Authors: Jiang Kun , Wang Yuxin , Wang Ziqiang , Zhang Fu-Chun , Hu Jiangping 
Published: February 2024

Abstract
We show that the crystal field splitting, the bilayer coupling, and electron-electron correlations all play a crucial role in creating an electronic environment similar to hole-doped cuprates for high temperature superconductivity in bilayer La3Ni2O7 under high pressure. The previous density functional theory calculations highly underestimated the crystal field splitting and bilayer coupling. Employing the hybrid exchange-correlation functional,
we show that the exchange-correlation pushes the antibonding dz2 bands below the Fermi level to be fully occupied in both the low-pressure (LP) non-superconducting phase and the high-pressure (HP) phase exhibiting superconductivity.
In the LP phase, the calculated Fermi surfaces and the correlation normalized band structure match well with the experimental findings at ambient pressure.
Moreover, the electronic susceptibility calculated for this new band structure features nesting-induced peaks near the wave vector Q=(π/2, π/2), suggesting a possible density wave instability in agreement with recent experiments.
In the HP phase, an inversion symmetry between the bilayer emerges and produces a very different band structure and Fermi surface, which can be described by low-energy effective models for the inversion antisymmetric β and symmetric α bands.
The β band turns out to be close to half-filling while the α band is highly overdoped. Considering the strong local Coulomb repulsion, we find a dominant pairing with B1g symmetry in the β band that, upon Josephson coupling to the α band, drives a superconducting ground state with a congruent d-wave symmetry.
Our results capture the essential physics of La3Ni2O7 in both the LP and HP phases and reveal its similarity and difference from the hole-doped cuprate high-temperature superconductors.
Peculiarities of the nematic transition in FeSe0.675Te0.3S0.025 and its proximity to the quantum critical point
Authors: Ovchenkov Y.A. , Chareev D.A. , Gippius A.A. , Presnov D.E. , Puzanova I.G. , Tkachev A.V. , Volkova O.S. , Zhurenko S.V. , Vasiliev A.N. 
Published: February 2024

Abstract

In this work, we present the studies of structural phase transitions in FeSe0.675Te0.3S0.025 crystals. The data obtained indicate a significant change in the behavior of many characteristics during the transition in this composition compared to the case of the unsubstituted FeSe. The resistivity at low temperatures for the studied FeSe0.675Te0.3S0.025 is proportional to the square of the temperature, while for pure FeSe below the structural transition it depends almost linearly on temperature. 77Se NMR studies also confirm a change in the type of phase transition. The NMR data showed a noticeable line broadening below the structural transition and an anomaly in the temperature dependence of the relaxation rate, which was not observed in FeSe. Our results confirm the quantum criticality of Fe(Se,Te) at a low Te content or existence of the nematicity change point (NCP). This makes the phase diagram of quasi-binary Fe(Se,Te) compounds generally consistent with the phase diagram of FeSe under pressure. In both cases, there is a local minimum in the superconducting critical temperature near NCP and a strong increase in the superconducting critical temperature near the point of complete suppression of nematicity.
The drivers of minimum acceptable diet among children aged 6–23 months in Ethiopia: community-based cross-sectional study
Authors: Bikila Girma Cheru , Arero Godana , Kalu Sultan , Roba Kedir Teji , Charkos Tesfaye 
Published: February 2024

Abstract
Background: A minimum acceptable diet is a combination of the minimum dietary diversity and the minimum meal frequency for a child aged 6-23 months. Globally, only one in six children receives a minimum acceptable diet, and the proportion has been reduced to one in nine in Ethiopia.
Objective: To assess the prevalence of the minimum acceptable diet and associated factors among children aged 6- 23 months in Dera town, Oromia, Ethiopia.
Methods: A community-based cross-sectional study was conducted. Systematic random sampling techniques were used to select the study subjects. The data was coded, entered into Epi-Info version 7, and then exported to SPSS version 24 for analysis. The variance inflation factor and tolerance test are used to check multicollinearity. Descriptive statistics of frequency (%) were used. Hosmer and Lemeshow's goodness-of-fit test at a P-value > 0.05 is considered the model fit. Bivariate and multivariate logistic regression analyses were computed with a 95% confidence interval, and a P-value < 0.05 was, considered statistically significant.
Results: A total of 430 study subjects were included in this study. The prevalence of a minimum acceptable diet was 36.5% (95% CI: 32, 41%). In the adjusted model, mothers attaining a primary school (AOR = 2.7, 95%CI: 1.3, 4.8), college and above education (AOR = 4.3, 95%CI: 1.4, 13), child age between 12–17 months (AOR = 6.2, 95%CI: 2.80, 13.50) and 18–23 months (AOR = 4.61, 95%CI: 2.04, 10.40), ANC visit four or more (AOR = 2.0, 95%CI: 1.2, 3.4), and not feeding breast (AOR = 0.15, 95% CI: 0.07, 0.31) were significantly associated with meeting the minimum acceptable diet.
Conclusion: This study showed that the practice of a minimum acceptable diet was low, according to the World Food Program target. Mothers' educational status, antenatal care visits, age of the child, and breastfeeding were the predictors of the minimum acceptable diet.
Background of MIGS-adapted patients for cataract surgery in glaucoma
Authors: Hayakawa Yasunari , Inada Takayuki 
Published: February 2024

Abstract

Purpose To investigate whether it is better to perform minimally invasive glaucoma surgery (MIGS) when performing cataract surgery on glaucoma patients.
Methods The study enrolled subjects with mild-to-moderate glaucoma including primary open angle glaucoma (POAG), normal tension glaucoma (NTG) and combined mechanism glaucoma (CMG) with visually significant cataract who were treated with one or more ophthalmic antiglaucoma agents. Phacoemulsification and aspiration with intraocular lens insertion (PEA + IOL, phaco group) or MIGS with PEA + IOL (µLot-phaco group) was performed on patients with glaucoma. Age, sex, glaucoma type, pre- and post-operative IOP, and ratio of IOP reduction were estimated.
Results The rate of IOP reduction of µLot-phaco group was significantly higher than phaco group at 6 months after the surgery. Preoperative IOP, POAG, and age in µLot-phaco group were significantly correlated with IOP reduction at 6 months after the surgery.
Conclusion Simultaneous cataract and MIGS was found to be more effective in older POAG patients with higher preoperative IOP.
Factors Associated With Preoperative Quality of Life in Patients With Rotator Cuff Injury
Authors: Brune Daniela , Stojanov Thomas , Müller Andreas Marc , Weibel David , Hunziker Sabina , Erdbrink Stephanie , Audigé Laurent 
Published: February 2024

Abstract
BACKGROUND Assessing health-related quality of life (HRQoL) is a widely employed method in orthopedics to evaluate patient well-being and measure the effectiveness of surgical interventions. Understanding the relationship between specific baseline factors and preoperative HRQoL can help clinicians identify patients at risk for low quality of life and thus, develop preventive strategies that adequately address individual patient needs. The objective was to assess associations between baseline factors and preoperative HRQoL in patients undergoing arthroscopic rotator cuff repair (ARCR).METHODS This study is part of a multicenter prospective Swiss cohort study that included patients undergoing ARCR between June 2020 and November 2021. Data were derived from baseline and surgery forms. We examined possible associations between 5 sociodemographic, 7 patient- and 9 injury-related factors and preoperative HRQoL. HRQoL was assessed using the European Quality of Life 5-Dimension 5-Level (EQ-5D-5L) questionnaire to calculate EQ-5D index and EQ VAS scores. We followed the conceptual model of HRQoL for variable selection. Univariable and multivariable linear regression models examined associations between the 21 factors and preoperative HRQoL. Final models were determined using stepwise backward regression.RESULTS A total of 973 included patients (mean age [SD], 57.3 [9.4] years; 611 men [63%]) had a mean [SD] EQ-5D index and EQ VAS of 0.70 [0.23] and 68.7 [19.8], respectively. Being male (regression coefficient (β), 0.05; 95% CI [0.02–0.08]), having a higher age (β, 0.02; 95% CI [0.01–0.03]) and higher education levels (e.g., university, college: β, 0.11; 95% CI [0.06–0.16]) were associated with a higher EQ-5D index. Increased body mass index (β, -0.02; 95% CI [-0.04 to -0.01]) and worse sleep quality (β, -0.03; 95% CI [-0.04 to -0.03]) were associated with a lower EQ-5D index. Factors negatively associated with overall EQ VAS health were depression (e.g., moderate: β, -12.70; 95% CI [-16.18 to -9.21]), presence of at least one comorbidity (β, -3.71; 95% CI [-5.91 to -1.52]), and pain (β, -1.81; 95% CI [-2.36 to -1.26]).CONCLUSION Our results suggest that preoperative HRQoL is highly associated with sociodemographic and patient-related factors. Specifically addressing these factors may improve orthopedic care.
Multicenter study on clinical outcomes and risk factors in patients with Klebsiella pneumoniae bacteremia receiving cefoperazone/sulbactam treatment
Authors: Chiang Tsung-Ta , Chiang Ming-Hsien , Tang Hung-Jen , Shi Zhi-Yuan , Ho Mao-Wang , Chou Chia-Hui , Lin Shang-Yi , Lu Po-Liang , Wu Ting-Shu , Shie Shian-Sen , Liu Jien-Wei , Chang Feng-Yee , Chuang Yin-Ching , Wang Fu-Der , Yang Ya-Sung 
Published: February 2024

Abstract
Background
Infections caused by Klebsiella pneumoniae are common and result in high mortality rates. In vitro studies demonstrated the potency of cefoperazone/sulbactam (CPZ/SUL) against Klebsiella pneumoniae. However, the clinical efficacy of CPZ/SUL for the treatment of K. pneumoniae bacteremia has not been studied.
Objectives
This study aimed to correlate the clinical outcomes of patients with bacteremia with the minimal inhibitory concentrations (MICs) of CPZ/SUL against the causative K. pneumoniae isolates.
Methods
This multicenter, retrospective observational study was conducted in Taiwan between July 2017 and April 2021. Patients with K. pneumoniae bacteremia treated with CPZ/SUL were enrolled in this study. CPZ/SUL MICs were determined using the agar dilution method. Data on the patients’ clinical outcomes and characteristics were collected and analyzed.
Results
In total, 201 patients were enrolled. Among the causative K. pneumoniae isolates, 180 (89.5%) were susceptible to CPZ/SUL. Most patients (n = 156, 77.6%) had favorable outcomes. The 30-day mortality rate was 11.9% (n = 24). Multivariate risk analyses showed that higher APACHE II score (Odds Ratio (OR), 1.14; Confidence Interval (CI), 1.07–1.21; p < 0.001), metastatic tumors (OR, 5.76; CI, 2.31–14.40; p < 0.001), and causative K. pneumoniae CPZ/SUL MICs > 16 µg/ml (OR, 4.30; CI, 1.50–12.27; p = 0.006) were independently associated with unfavorable outcomes.
Conclusion
Patients with K. pneumoniae bacteremia treated with CPZ/SUL at a ratio 1:1 had favorable outcomes when the CPZ/SUL MICs were ≤ 16 µg/ml. Patients with higher APACHE II scores and metastatic tumors had unfavorable outcomes.
Estimation the Health Literacy Score of Syrian Immigrants Using Support Vector Regression, Decision Tree, Extreme Learning Machine, and Deep Autoencoder
Authors: Tuncer Kevser , Seçkin Kübra , TAŞAR Beyda , TANYLDIZI Nural IMIK , PIRINÇCI Edibe 
Published: February 2024

Abstract
Health literacy is defined as social policy. This study aims to determine the health literacy level of Syrian immigrants living in Elazig, Turkey and its relevant factors and to predict it with artificial intelligence methods.
The minimum sample size was calculated as 373 by using the Epi Info program. The questionnaire included socio-demographic information and the health literacy scale (HLS) EU-16. Means were presented with standard deviation (mean±SD), and p<0.05. was considered statistically significant. Besides performance evaluation, Support Vector Regression (SVR), Decision Tree (DT), Extreme Learning Machines (ELM), and Autoencoder Regression (AR) were used to estimate the HLS score.
The mean age of 404 Syrian immigrants who participated in the study was 32.64±10.97 years. They had been in Turkey for an average of 5.00±2.267 years. The mean total HLS score was 51.55±12.915. The HLS value of the Syrian immigrants was calculated using four different regression methods based on machine learning according to three basic criteria (Age, Duration of Stay in Turkey, and Monthly Income). Autoencoder, ELM, and DT regression methods indicated that the average estimation success was above 91% according to the R2 performance criterion, and the highest success rate of 98% was achieved with the autoencoder method.
Spatial clustering between socioeconomic inequalities and COVID-19 mortality rate in African continent
Authors: Ogunsakin Ropo , Akeju Kemi , Abimbola Adigun 
Published: February 2024

Abstract
Although local spatiotemporal analysis can improve understanding of the geographic variation of infectious diseases, its drivers, and the search for targeted interventions, it is limited in Africa; therefore, monitoring the spread and pattern is essential. Information on the spatial patterns will have substantial inferences for real awareness in future pandemics. Primarily, the linkage between infectious disease and socioeconomic indicators based on the perception of spatial connectivity should be understood as the spread nowadays between regions is progressively connected. This study applied spatial analysis, including the Moran-I index, the Local Indicator of Spatial Association (LISA) and spatial regression models to study the spatial variations in the effects of socioeconomic indicators on COVID-19 mortality in the African region. The preliminary test on the spatial correlation of COVID-19 showed a significant result; thus, a spatial regression approach was employed. The spatial clustering relationships between COVID-19 mortality and the socioeconomic indicators were analyzed in all five regions of Africa using ordinary least squares (OLS), spatial lag models (SLM), and spatial error models (SEM). We observed the clustering of countries for COVID-19 mortality, signifying spatial correlation within the countries of Africa. In addition, among all the socioeconomic indicators included, the effects of Gross Domestic Product and age dependency ratio on COVID-19 mortality were the most critical indicators that described the pandemic evolution across the subregion. These results highlight the need to draw preventive and response policies applicable to infectious diseases with more significant consideration of the different geographical points in the region.
Predicting risk factors for postoperative pneumonia in patients with lower limb fractures based on logistic regression model
Authors: Wei Conghui , Xiao Yiqinwen , Lin Xiaodan , Liu Ji , Luo Jun 
Published: February 2024

Abstract
Purpose: Lower limb fracture is a frequent cause of hospitalization, and postoperative pneumonia is an important marker of hospital cost and quality of care provided. As an extension of traditional statistical methods, machine learning provides the possibility of accurately predicting the postoperative pneumonia. The aim of this paper is to retrospectively identify predictive factors of postoperative pneumonia by using multivariate logistic regression model.
Methods: The incidence and admission of postoperative pneumonia in patients with lower limb fractures in the Second Affiliated Hospital of Nanchang University from 2017 to 2023 were retrospectively analysed. Patients who developed postoperative pneumonia during hospitalisation were defined as the pneumonia group, and those who did not develop postoperative pneumonia were defined as the no pneumonia group. Then logistic regression model of the postoperative pneumonia was developed and evaluated.
Results: The incidence of postoperative pneumonia was 6.44%, and the AUC values was 0.821, indicating that the module could predict the occurrence of postoperative pneumonia to a large extent. Sex, age, smoking history, alcohol consumption history, operation time, cerebrovascular disease, hypertension, diabetes, fracture type, surgical grade, globulin ratio, platelets, and C-reactive protein were identifed as signifcant factors for postoperative pneumonia.
Conclusions: Our proposed model corresponding to the predictors is designed to be convenient for clinical use. This model offers promising potential as a tool for the prevention and treatment of postoperative pneumonia in patients with lower limb fractures. Adopting appropriate health management methods may reduce the risk of postoperative pneumonia in patients with lower limb fractures.