bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patients with repeated acute admissions to somatic departments: sociodemographic characteristics, disease burden, and contact with primary healthcare sector – a retrospective register-based case–control study
Authors: Leth Sara V. , Graversen Susanne B. , Lisby Marianne , StØvring Henrik , SandbÆk Annelli 
Published: February 2024

Background: Healthcare systems face escalating capacity challenges and patients with repeated acute admissions strain hospital resources disproportionately. However, studies investigating the characteristics of such patients across all public healthcare providers in a universal healthcare system are lacking. Objective: To investigate characteristics of patients with repeated acute admissions (three or more acute admissions within a calendar year) in regard to sociodemographic characteristics, disease burden, and contact with the primary healthcare sector. Methods: This matched register-based case–control study investigated repeated acute admissions from 1 January 2014 to 31 December 2018, among individuals, who resided in four Danish municipalities. The study included 6169 individuals with repeated acute admissions, matched 1:4 to individuals with no acute admissions and one to two acute admissions, respectively. Group comparisons were conducted using conditional logistic regression. Results: Receiving social benefits increased the odds of repeated acute admissions 9.5-fold compared with no acute admissions (odds ratio (OR) 9.5; 95% confidence interval (CI) 8.5; 10.6) and 3.4-fold compared with one to two acute admissions (OR 3.4; 95% CI 3.1; 3.7). The odds of repeated acute admissions increased with the number of used medications and chronic diseases. Having a mental illness increased the odds of repeated acute admissions 5.8-fold when compared with no acute admissions (OR 5.7; 95% CI 5.2; 6.4) and 2.3-fold compared with one to two acute admissions (OR 2.3; 95% CI 2.1; 2.5). Also, high use of primary sector services (e.g. nursing care) increased the odds of repeated acute admissions when compared with no acute admissions and one to two acute admissions. Conclusions: This study pinpointed key factors encompassing social status, disease burden, and healthcare utilisation as pivotal markers of risk for repeated acute admissions, thus identifying high-risk patients and facilitating targeted intervention.
Patient-Reported Experiences and Associated Factors in a Norwegian Radiotherapy Setting: An Explorative Cross-Sectional Study
Authors: Volungholen Sollid May Ingvild , Slaaen Marit , Danielsen Signe , Eilertsen Grethe , Kirkevold Øyvind 
Published: February 2024

Introduction Radiotherapy is the main treatment modality in cancer. There is sparse knowledge on how patients with cancer experience their radiotherapy trajectory, and which factors might be associated with patients’ experiences. Objectives The aim of the present study was to explore how adults with cancer receiving radiotherapy evaluate the quality of their care, utilizing a patient-reported experience measure, and how patient- and service-related characteristics are associated with their evaluation. Methods An explorative cross-sectional study using a self-completed questionnaire to assess patients’ radiotherapy experiences was performed. Participants were recruited consecutively, within their last week of treatment, from two different hospitals in Norway from January 2021 to January 2022. Four hundred and eighty paper questionnaires were distributed to recruited patients, 240 at each hospital. Questionnaires were self-completed at home and returned by mail. The instrument person-centered coordinated care experience questionnaire (P3CEQ) was used. In addition to this, participants completed the European Organization of Research and Treatment of Cancer Quality of Life Questionnaire-C30 (EORTC QLQ-C30) and The Sense of Coherence 13 scale (SOC-13). Data were analyzed using descriptive statistics, parametric tests, and unadjusted/adjusted linear regression models were estimated. Results The study included 373 patients. Patients evaluated quality of care in terms of P3CEQ scores, with a mean score of 19.5 (standard deviation = 5.4). Lowest scores were identified in areas concerning person-centeredness and service coordination. There were no significant differences in P3CEQ scores between the younger and older groups. Having a partner and better SOC-13 scores were independently associated with the overall patient-reported experience score, whereas age was not. Conclusion Patient-reported experience scores indicate that improvements are needed in some areas, such as informing and involving patients in the planning and coordination of their care. Findings suggest paying special attention to patients without a partner to offer patients the best possible care.
Persistent ADAMTS13 inhibitor delays recovery of ADAMTS13 activity in caplacizumab-treated Japanese patients with iTTP
Authors: Saito Kenki , Sakai Kazuya , Kubo Masayuki , Azumi Hidekazu , Hamamura Atsushi , Ochi Shinichi , Amagase Hiroki , Kunieda Hisako , Ogawa Yoshiyuki , Yagi Hideo , Matsumoto Masanori 
Published: February 2024

Abstract
For patients with immune-mediated thrombotic thrombocytopenic purpura (iTTP), caplacizumab, a nanobody against von Willebrand factor A1 domain, has become crucial. Delayed normalization of ADAMTS13 activity during caplacizumab therapy has been identified. In a retrospective analysis, we compared platelet count, ADAMTS13 activity, its inhibitor, and anti-ADAMTS13 immunoglobulin G (IgG) levels in acute iTTP cases treated with caplacizumab (n = 14) or without it (n = 16). The median time from initial therapeutic plasma exchange (TPE) to the first rituximab administration was 12 days in the caplacizumab group (n = 11) and 10 days in the group without caplacizumab (n = 13). We evaluated ADAMTS13-related parameters at onset and once a week until day 28 after the first TPE. The number of days until the platelet counts reached ≥150 × 109/L was significantly shorter in the caplacizumab group than in the non-caplacizumab group. The median ADAMTS13 activity levels on days 14, 21, and 28 were significantly lower in the caplacizumab group. The median titers of the ADAMTS13 inhibitor and anti-ADAMTS13 IgG on the same days were significantly higher in the caplacizumab group. Furthermore, the median number of days from the first TPE until finally achieving an ADAMTS13 activity of ≥10% was significantly longer in the caplacizumab group than in the non-caplacizumab group (42 vs 23 days, P = .014). We observed delayed ADAMTS13 activity recovery and continued inhibitor and anti-ADAMTS13 IgG detection in patients with acute iTTP on caplacizumab, possibly because of the decreased number of TPEs and delayed frontline rituximab.
Trends and predictors of antimicrobial resistance among patients with urinary tract infections at a tertiary hospital facility in Alexandria, Egypt: a retrospective record-based classification and regression tree analysis
Authors: Shaker Marian , Zaki Adel , Asser Sara Lofty , Sayed Iman El 
Published: February 2024

Abstract
Background
The incidence of Antimicrobial Resistance (AMR) in uropathogens varies between countries and over time. We aim to study the patterns and potential predictors of AMR among patients with UTIs admitted to the Urology Department at Alexandria University Hospital.

Methods
An observational retrospective record-based study was conducted on all patients admitted to the Urology department from October 2018 to October 2020. Data collected from patients’ records included: demographic data, diagnosis on admission, history of chronic diseases, duration of hospital stay, insertion of a urinary catheter, duration of the catheter in days, history of the use of antibiotics in the previous three months, and history of urinary tract operations. If UTI was documented, we abstracted data about urine culture, use of antibiotics, results of urine cultures, type of organism isolated, and sensitivity to antibiotics. We conducted a multivariable logistic regression model. We performed Classification and Regression Tree Analysis (CART) for predicting risk factors associated with drug resistance among patients with UTI. Data were analyzed using SPSS statistical package, Version 28.0, and R software (2022).

Results
This study encompassed 469 patients with UTIs. The most commonly isolated bacterium was Escherichia coli, followed by Klebsiella pneumoniae. Multidrug resistance (MDR) was found in 67.7% (149/220) of patients with hospital-acquired UTIs and in 49.4% (83/168) of patients with community-acquired UTIs. Risk factors independently associated with antimicrobial resistance according to logistic regression analysis were the use of antibiotics within three months (AOR = 5.2, 95% CI 2.19–12.31), hospital-acquired UTI (AOR = 5.7, 95% CI 3.06–10.76), diabetes mellitus (AOR = 3.8, 95% CI 1.24–11.84), age over 60 years (AOR = 2.9, 95% CI 1.27–6.72), and recurrent UTI (AOR = 2.6, 95% CI 1.08–6.20). Classification and regression tree (CART) analysis revealed that antibiotic use in the previous three months was the most significant predictor for developing drug resistance.

Conclusion
The study concluded a high level of antimicrobial resistance as well as significant MDR predictors among hospitalized patients with UTIs. It is vital to assess resistance patterns in our hospitals frequently to improve rational antibiotic treatment as well as to sustain antimicrobial stewardship programs and a rational strategy in the use of antibiotics. Empirical therapy for UTI treatment should be tailored to the potential pathogens’ susceptibility to ensure optimal treatment. Strategic antibiotic use is essential to prevent further AMR increases. Further research should focus on suggesting new biological systems or designed drugs to combat the resistance of UTI pathogens.
Mortality and associated factors among people living with HIV admitted at a tertiary-care hospital in Uganda: a cross-sectional study
Authors: Owachi Darius , Akatukunda Praise , Nanyanzi Diana Sarah , Katwesigye Rogers , Wanyina Shardrack , Muddu Martin , Kawuma Samuel , Kalema Nelson , Kabugo Charles , Semitala Fred C. 
Published: February 2024

Abstract
Background
Hospital admission outcomes for people living with HIV (PLHIV) in resource-limited settings are understudied. We describe in-hospital mortality and associated clinical-demographic factors among PLHIV admitted at a tertiary-level public hospital in Uganda.

Methods
We performed a cross-sectional analysis of routinely collected data for PLHIV admitted at Kiruddu National Referral Hospital between March 2020 and March 2023. We estimated the proportion of PLHIV who had died during hospitalization and performed logistic regression modelling to identify predictors of mortality.

Results
Of the 5,827 hospitalized PLHIV, the median age was 39 years (interquartile range [IQR] 31–49) and 3,293 (56.51%) were female. The median CD4 + cell count was 109 cells/µL (IQR 25–343). At admission, 3,710 (63.67%) were active on antiretroviral therapy (ART); 1,144 (19.63%) had interrupted ART > 3 months and 973 (16.70%) were ART naïve. In-hospital mortality was 26% (1,524) with a median time-to-death of 3 days (IQR 1–7). Factors associated with mortality (with adjusted odds ratios) included ART interruption, 1.33, 95% confidence intervals (CI) 1.13–1.57, p 0.001; CD4 + counts ≤ 200 cells/µL 1.59, 95%CI 1.33–1.91, p < 0.001; undocumented CD4 + cell count status 2.08, 95%CI 1.73–2.50, p < 0.001; impaired function status 7.35, 95%CI 6.42–8.41, p < 0.001; COVID-19 1.70, 95%CI 1.22–2.37, p 0.002; liver disease 1.77, 95%CI 1.36–2.30, p < 0.001; co-infections 1.53, 95%CI 1.32–1.78, p < 0.001; home address > 20 km from hospital 1.23, 95%CI 1.04–1.46, p 0.014; hospital readmission 0.7, 95%CI 0.56–0.88, p 0.002; chronic lung disease 0.62, 95%CI 0.41–0.92, p 0.019; and neurologic disease 0.46, 95%CI 0.32–0.68, p < 0.001.

Conclusion
One in four admitted PLHIV die during hospitalization. Identification of risk factors (such as ART interruption, function impairment, low/undocumented CD4 + cell count), early diagnosis and treatment of co-infections and liver disease could improve outcomes.
Evaluation of an artificial intelligence-based clinical trial matching system in Chinese patients with hepatocellular carcinoma: a retrospective study
Authors: Wang Kunyuan , Cui Hao , Zhu Yun , Hu Xiaoyun , Hong Chang , Guo Yabing , An Lingyao , Zhang Qi , Liu Li 
Published: February 2024

Abstract
Background
Artificial intelligence (AI)-assisted clinical trial screening is a promising prospect, although previous matching systems were developed in English, and relevant studies have only been conducted in Western countries. Therefore, we evaluated an AI-based clinical trial matching system (CTMS) that extracts medical data from the electronic health record system and matches them to clinical trials automatically.

Methods
This study included 1,053 consecutive inpatients primarily diagnosed with hepatocellular carcinoma who were referred to the liver tumor center of an academic medical center in China between January and December 2019. The eligibility criteria extracted from two clinical trials, patient attributes, and gold standard were decided manually. We evaluated the performance of the CTMS against the established gold standard by measuring the accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and run time required.

Results
The manual reviewers demonstrated acceptable interrater reliability (Cohen’s kappa 0.65–0.88). The performance results for the CTMS were as follows: accuracy, 92.9–98.0%; sensitivity, 51.9–83.5%; specificity, 99.0–99.1%; PPV, 75.7–85.1%; and NPV, 97.4–98.9%. The time required for eligibility determination by the CTMS and manual reviewers was 2 and 150 h, respectively.

Conclusions
We found that the CTMS is particularly reliable in excluding ineligible patients in a significantly reduced amount of time. The CTMS excluded ineligible patients for clinical trials with good performance, reducing 98.7% of the work time. Thus, such AI-based systems with natural language processing and machine learning have potential utility in Chinese clinical trials.
Undifferentiated sarcomatoid carcinoma of the pancreas-a single-institution experience with 23 cases
Authors: Feng Lei , Tang Xiaojuan , You Zhen 
Published: February 2024

Abstract
Background
The clinical course and surgical outcomes of undifferentiated sarcomatoid carcinoma of the pancreas (USCP) remain poorly characterized owing to its rarity. This study aimed to describe the histology, clinicopathologic features, perioperative outcomes, and overall survival (OS) of 23 resected USCP patients.

Methods
We retrospectively described the histology, clinicopathologic features, perioperative outcomes and OS of patients who underwent pancreatectomy with a final diagnosis of USCP in a single institution.

Results
A total of 23 patients were included in this study. Twelve patients were male, the median age at diagnosis was 61.5 ± 13.0 years (range: 35–89). Patients with USCP had no specific symptoms and characteristic imaging findings. The R0 resection was achieved in 21 cases. The En bloc resection and reconstruction of mesenteric–portal axis was undertaken in 9 patients. There were no deaths attributed to perioperative complications in this study. The intraoperative tumor-draining lymph nodes (TDLNs) dissection was undergone in 14 patients. The 1-, 3- and 5-year survival rates were 43.5%, 4.8% and 4.8% in the whole study, the median survival was 9.0 months. Only 1 patient had survived more than 5 years and was still alive at last follow-up. The presence of distant metastasis (p = 0.004) and the presence of pathologically confirmed mesenteric–portal axis invasion (p = 0.007) was independently associated with poor OS.

Conclusions
USCP was a rare subgroup of pancreatic malignancies with a bleak prognosis. To make a diagnose of USCP by imaging was quite difficult because of the absence of specific manifestations. Accurate diagnosis depended on pathological biopsy, and the IHC profile of USCP was mainly characterized by co-expression of epithelial and mesenchymal markers. A large proportion of patients have an early demise, especially for patients with distant metastasis and pathologically confirmed mesenteric–portal axis invasion. Long-term survival after radical resection of USCPs remains rare.
Trajectories network analysis of chronic diseases among middle-aged and older adults: evidence from the China Health and Retirement Longitudinal Study (CHARLS)
Authors: Chen Jiade , Zhang Fan , Zhang Yuan , Lin Ziqiang , Deng Kaisheng , Hou Qingqin , Li Lixia , Gao Yanhui 
Published: February 2024

Abstract
Background
Given the increased risk of chronic diseases and comorbidity among middle-aged and older adults in China, it is pivotal to identify the disease trajectory of developing chronic multimorbidity and address the temporal correlation among chronic diseases.

Method
The data of 15895 participants from the China Health and Retirement Longitudinal Study (CHARLS 2011 – 2018) were analyzed in the current study. Binomial tests and the conditional logistic regression model were conducted to estimate the associations among 14 chronic diseases, and the disease trajectory network analysis was adopted to visualize the relationships.

Results
The analysis showed that hypertension is the most prevalent disease among the 14 chronic conditions, with the highest cumulative incidence among all chronic diseases. In the disease trajectory network, arthritis was found to be the starting point, and digestive diseases, hypertension, heart diseases, and dyslipidemia were at the center, while memory-related disease (MRD), stroke, and diabetes were at the periphery of the network.

Conclusions
With the chronic disease trajectory network analysis, we found that arthritis was prone to the occurrence and development of various other diseases. In addition, patients of heart diseases/hypertension/digestive disease/dyslipidemia were under higher risk of developing other chronic conditions. For patients with multimorbidity, early prevention can preclude them from developing into poorer conditions, such as stroke, MRD, and diabetes. By identifying the trajectory network of chronic disease, the results provided critical insights for developing early prevention and individualized support services to reduce disease burden and improve patients’ quality of life.
Prevalence, risk factors and psychological consequences of workplace violence among health workers in the Greater Accra region, Ghana: a cross-sectional study
Authors: Tawiah Philip Apraku , Appiah-Brempong Emmanuel , Okyere Paul , Adu-Fosu Geoffrey , Ashinyo Mary Eyram 
Published: February 2024

Abstract
Background
Globally, close to one-third of all workplace violence (WV) occurs in the health sector. Exposure to WV among healthcare professionals in Ghana has been widely speculated, but there is limited evidence on the problem. This study therefore investigated WV, its risk factors, and the psychological consequences experienced by health workers in Ghana.

Methods
An analytic cross-sectional study was conducted in the Greater Accra region from January 30 to May 31, 2023, involving selected health facilities. The participants for the study were selected using a simple random sampling technique based on probability proportional-to-size. The data analyses were performed using STATA 15 software. Logistic regression analyses were employed to identify the factors associated with WV, considering a significance level of p-value < 0.05.

Results
The study was conducted among 607 healthcare providers and support personnel across 10 public and private hospitals. The lifetime career, and one-year exposure to any form of WV was 414 (68.2%) [95% CI: (64.3-71.9%)] and 363 (59.8%) [95% CI: (55.8-63.7%)], respectively. Compared to other forms of WV, the majority of healthcare workers, 324 (53.4%) experienced verbal abuse within the past year, and a greater proportion, 85 (26.2%) became ‘super alert’ or vigilant and watchful following incidents of verbal abuse. Factors significantly linked to experiencing any form of WV in the previous 12 months were identified as follows: older age [AOR = 1.11 (1.06, 1.17)], working experience [AOR = 0.91 (0.86, 0.96)], having on-call responsibilities [AOR = 1.75 (1.17, 2.61)], and feeling adequately secure within health facility [AOR = 0.45 (0.26, 0.76)].

Conclusion
There was high occurrence of WV, and verbal abuse was the most experienced form of WV. Age, work experience, on-call duties, and security within workplace were associated with exposure to WV. Facility-based interventions are urgently needed to curb the incidence of WV, especially verbal abuse.
COVID-19 control measures unexpectedly increased the duration of stay at High Speed Rail stations during the first community outbreak in Taiwan
Authors: Chang Ning , Tsai Yi-chen , Chen Wei J. , Lo Chung-Chuan , Chang Hsiao-Han 
Published: February 2024

AbstractDuring the COVID-19 pandemic, Taiwan has implemented strict border controls and community spread prevention measures. As part of these efforts, the government also implemented measures for public transportation. In Taiwan, there are two primary public transportation systems: Taiwan Railways (TR) is commonly utilized for local travel, while the Taiwan High-Speed Rail (THSR) is preferred for business trips and long-distance journeys due to its higher speed. In this study, we examined the impact of these disease prevention measures on the number of passengers and duration of stay in two major public transportation systems during the first community outbreak from April 29th to May 29th, 2021. Using data from a local telecommunications company, our study observed an expected decrease in the number of passengers after the cancellation of non-reserved seats at both TR and THSR stations across all 19 cities in the main island of Taiwan. Surprisingly, however, the duration of stay in some of the cities unexpectedly increased, especially at THSR stations. This unanticipated rise in the duration of stay has the potential to elevate contact probability among passengers and, consequently, the transmission rate. Our analysis shows that intervention policies may result in unforeseen outcomes, highlighting the crucial role of human mobility data as a real-time reference for policymakers. It enables them to monitor the impact of disease prevention measures and facilitates informed, data-driven decision-making.