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ACCURACY OF SOKOLOW LYON CRITERIA FOR ASSESSING LEFT VENTRICLE HYPERTROPHY AMONG UNCOMPLICATED HYPERTENSION PATIENT IN WAHIDIN SUDIROHUSODO HOSPITAL, INDONESIA
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Dataset for: Extent and types of gender-based discrimination against female medical students and physicians at five university hospitals in Germany – Results of an online survey
<p><strong><span>Objective</span></strong><span>: There is a gap in research on gender-based discrimination (GBD) in medical education and practice in Germany. This study therefore examines the extent and forms of GBD among female medical students and physicians in Germany. Causes, consequences and possible interventions of GBD are discussed.</span></p> <p><strong><span>Methods</span></strong><span>: Female medical students (n=235) and female physicians (n=157) from five university hospitals in northern Germany were asked about their personal experiences with GBD in an online survey on self-efficacy expectations and individual perceptions of the "glass ceiling effect" using an open-ended question regarding their own experiences with GBD. The answers were analyzed by content analysis using inductive category formation and relative category frequencies. </span></p> <p><strong><span>Results</span></strong><span>: From both interviewed groups, approximately 75% of each reported having experienced GBD. Their experiences fell into five main categories: sexual harassment with subcategories of verbal and physical, discrimination based on existing/possible motherhood with subcategories of structural and verbal, direct preference for men, direct neglect of women, and derogatory treatment based on gender.</span></p> <p class="MsoNoSpacing"><strong><span>Conclusion</span></strong><span>: The study contributes to filling the aforementioned research gap. At the hospitals studied, GBD is a common phenomenon among both female medical students and physicians, manifesting itself in multiple forms. Transferability of the results beyond the hospitals studied to all of Germany seems plausible. Much is known about the causes, consequences and effective countermeasures against GBD. Those responsible for training and employers in hospitals should fulfill their responsibility by implementing measures from the set of empirically evaluated interventions.</span></p>
Prevalence and risk factors of Acinetobacter baumannii infection in Pediatric Intensive Care Unit at Thammasat University Hospital
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Do deaths from road traffic injuries follow a classical trimodal pattern in North West Ethiopia? A hospital based prospective cohort study
<p>The data set contains information collected from road traffic injury victims. The data was collected from all traffic injury victims, regardless of age and sex except those who were dead on arrival, comatose, and had no attendant. The variables included in this data includes, crash characteristics, hospital arrival time, road user category, availability of pre-hospital first aid, type of transportation used to transfer the victim, clinical findings, the outcome in the emergency department, and decision after evaluation at the emergency department.</p> <p> The primary outcome was time to death measured in hours between road traffic injury and the 30th day of injury. Accordingly, those victims who died between injury times to the 30th day of injury were events, and those who were still alive on the 30th day were censored cases. Secondary outcomes were pre-hospital first aid, length of hospital stay, and hospital arrival time. The exposure variable was having any degree of injury by any vehicle.</p> <p>The finding of the study showed, there were 80 deaths during the study time, (2.90 deaths per 10,000 person-hours of observation (95% CI: 2.77, 3.03). Being a driver, accidents at the inter urban locations, time from injury to hospital arrival time of 1 to 4 hours, systolic blood pressure on admission of less than 90mmHG, GCS of less than 8 on admission and poly trauma were found to be independent predictors of time to death.</p>
External validation of EPIC's Risk of Unplanned Readmission model, the LACE+ index and SQLape® as predictors of unplanned hospital readmissions: A monocentric, retrospective, diagnostic cohort study in Switzerland
<p>Introduction: Readmissions after an acute care hospitalization are relatively common, costly to the health care system, and are associated with significant burden for patients. As one way to reduce costs and simultaneously improve quality of care, hospital readmissions receive increasing interest from policy makers. It is only relatively recently that strategies were developed with the specific aim of reducing unplanned readmissions using prediction models to identify patients at risk. EPIC's Risk of Unplanned Readmission model promises superior performance. However, it has only been validated for the US setting. Therefore, the main objective of this study is to externally validate the EPIC's Risk of Unplanned Readmission model and to compare it to the internationally, widely used LACE+ index, and the SQLAPE® tool, a Swiss national quality of care indicator.</p> <p>Methods: A monocentric, retrospective, diagnostic cohort study was conducted. The study included inpatients, who were discharged between the 1<sup>st</sup> of January 2018 and the 31<sup>st</sup> of December 2019 from the Lucerne Cantonal Hospital, a tertiary-care provider in Central Switzerland. The study endpoint was an unplanned 30-day readmission. Models were replicated using the original intercept and beta coefficients as reported. Otherwise, score generator provided by the developers were used. For external validation, discrimination of the scores under investigation were assessed by calculating the area under the receiver operating characteristics curves (AUC). Calibration was assessed with the Hosmer-Lemeshow <i>X</i><sup><i>2</i></sup><span><span></span></span> goodness-of-fit test This report adheres to the TRIPOD statement for reporting of prediction models.</p> <p>Results: At least 23,116 records were included. For discrimination, the EPIC´s prediction model, the LACE+ index and the SQLape® had AUCs of 0.692 (95% CI 0.676-0.708), 0.703 (95% CI 0.687-0.719) and 0.705 (95% CI 0.690-0.720). The Hosmer-Lemeshow <i>X</i><sup><i>2</i></sup><span><span></span></span> tests had values of p<0.001.</p> <p>Conclusion: In summary, the EPIC´s model showed less favorable performance than its comparators. It may be assumed with caution that the EPIC´s model complexity has hampered its wide generalizability - model updating is warranted.</p>
Figure 5 from: M. Magdy A, A. Seksaka M, F. Balata G (2021) Antibiotic overuse in obstetric and gynecologic procedures at Zagazig university hospitals: A prospective observational study. Pharmacia 68(4): 883-889. https://doi.org/10.3897/pharmacia.68.e71923
Figure 5 Percentage of preoperative antibiotics prescription in procedures in which guidelines didn't recommend their use.
Figure 2 from: M. Magdy A, A. Seksaka M, F. Balata G (2021) Antibiotic overuse in obstetric and gynecologic procedures at Zagazig university hospitals: A prospective observational study. Pharmacia 68(4): 883-889. https://doi.org/10.3897/pharmacia.68.e71923
Figure 2 A diagram showing percentage adherence to ASHP, WHO and ACOG guidelines regarding prophylactic antibiotics utilization.
Figure 3 from: M. Magdy A, A. Seksaka M, F. Balata G (2021) Antibiotic overuse in obstetric and gynecologic procedures at Zagazig university hospitals: A prospective observational study. Pharmacia 68(4): 883-889. https://doi.org/10.3897/pharmacia.68.e71923
Figure 3 Percentage stratification of women underwent procedures in which guidelines recommended use of SAP according to the number of preoperative antibiotics used.
Figure 4 from: M. Magdy A, A. Seksaka M, F. Balata G (2021) Antibiotic overuse in obstetric and gynecologic procedures at Zagazig university hospitals: A prospective observational study. Pharmacia 68(4): 883-889. https://doi.org/10.3897/pharmacia.68.e71923
Figure 4 Percentage stratification of women underwent procedures in which guidelines recommended use of SAP according to the number of postoperative antibiotics used.
Figure 1 from: M. Magdy A, A. Seksaka M, F. Balata G (2021) Antibiotic overuse in obstetric and gynecologic procedures at Zagazig university hospitals: A prospective observational study. Pharmacia 68(4): 883-889. https://doi.org/10.3897/pharmacia.68.e71923
Figure 1 Percentage of performed procedures at the department of obstetrics and gynecology over six months.
MAGs associated with Rare transmission of commensal and pathogenic bacteria in the gut microbiome of hospitalized adults
<p>Assembled genomes from microbiome samples from HCT patients.</p>
Raw data and SPSS analysis for the article Bacterial and fungal co-infections among ICU COVID-19 hospitalized patients in a Palestinian hospital: Incidence and antimicrobial stewardship
<p>The attached data is related to a study with proposes to investigate the burden of bacterial and fungal co-infections outcomes on COVID-19 patients. It is a single-center cross-sectional study of hospitalized COVID-19 patients at Beit-Jala hospital in Palestine. The study included 321 hospitalized patients admitted to the ICU between June 2020 and March 2021 aged ≥20 years,</p> <p><b>Background:</b> Diagnosis of co-infections with multiple pathogens among hospitalized COVID-19 patients can be jointly challenging and very essential for appropriate treatment, shortening hospital stay and preventing antimicrobial resistance. This study proposes to investigate the burden of bacterial and fungal co-infections outcomes on COVID-19 patients. It is a single center cross-sectional study of hospitalized COVID-19 patients at Beit-Jala hospital in Palestine.</p> <p><b>Methods: </b>The study included 321 hospitalized patients admitted to the ICU between June 2020 and March 2021 aged ≥20 years, with a confirmed diagnosis of COVID-19 via RT-PCR conducted on a nasopharyngeal swab. The patient's information was gathered using graded data forms from electronic medical reports.</p> <p><b>Results:</b> The diagnosis of bacterial and fungal infection was proved through the patient`s clinical presentation and positive blood or sputum culture results. All cases had received empirical antimicrobial therapy before the ICU admission, and different regimens during the ICU stay. The rate of bacterial co-infection was 51.1%, mainly from gram-negative isolates (Enterobacter species and K.pneumoniae). The rate of fungal co-infection caused by A.fumigatus was 48.9%, and the mortality rate was 8.1%. However, it is unclear if it had been attributed to SARS-CoV-2 or coincidental.</p>
Adverse drug reactions to the three doses of the SARS-COV-2 mRNA-1273 vaccine in a cohort of cancer patients of a tertiary hospital
<p><strong>Introduction:</strong> SARS-CoV-2 vaccines efficacy and safety have been tested in phase 3 studies in which cancer patients were not included or underrepresented. Information is scarce regarding safety in this population. </p> <p><strong>Methods:</strong> The objective of this study is to evaluate the safety profile of the mRNA-1273 vaccine across cancer patients and its relationship to patients' demographics. This cross sectional study included patients 18-years or older with solid malignancies receiving active treatment in our hospital who had received the three dose schedule of the mRNA9 1273 vaccine and whose side effects after each dose were recorded. Patient electronic medical records were reviewed retrospectively to collect tha available information in 2021. Patients with documented previous infection by SARS-Cov-2 were excluded from the study.</p> <p><strong>Results:</strong> 93 patients met inclusion criteria. Local adverse drug reactions (ADRs) were reported more frequently after the first and second dose than after the third (41.9%, 43% and 31.1% of the patients respectively), while systemic ADRs were reported less frequently after the first and second dose than after the third (16.1%, 34.4% and 52.6% of the patients respectively). We found a statistically significant association between sex and systemic ADRs after the third dose. Cochran-Armitage test showed a statistically significant linear trend, p = 0.012, with higher ECOG score associated with a lower proportion of patients suffering from systemic side effects. A logistic regression showed that females had 5.79 times higher odds to exhibit systemic ADRs after the third dose (p=0.01) compared to males. Increasing age was associated with a decreased likelihood of exhibiting ADRs (p=0.016).</p> <p><strong>Conclusion:</strong> mRNA-1273 vaccine shows a tolerable safety profile. The likelihood of ADRs appears to be associated with gender and age. Its association with ECOG scores is less evident. Further studies are needed to elucidate this data in cancer patients.<span></span></p>
Dates of hospitalization patients in the pediatric department of FJMUUH from 2019-2021
<div class="subsection"></div> <div> <p>Data of electronic medical records of patients hospitalised in the paediatric department of Fujian Medical University Union Hospital(FJMUUH) from 21 January 2019 to 20 January 2021 were analysed before and during the COVID-19 pandemic. During the COVID-19 outbreak period, paediatric hospitalisation was reduced by 29.6%, from 1255 to 884. The proportions of infection-related diseases (36.3% (455 cases) vs 20.8% (184 cases)), respiratory system-related diseases (22.5% (283 cases) vs 9.4% (83 cases)); and endocrine, nutritional and metabolic diseases (17.1% (214 cases) vs 9.2% (81 cases)) decreased significantly, whereas that of musculoskeletal and connective tissue diseases increased from 11.0% (138 cases) to 20.1% (178 cases), thereby becoming the most common reason for hospitalisation. The proportions of diseases of the nervous system (12.4% (156 cases) to 18.8% (166 cases)) and mental and behavioural disorders (0.2% (3 cases) to 2.1% (19 cases)) increased significantly. The average length of hospital stay increased after the outbreak (7.57±6.53 vs 8.36±6.87).</p> </div>
Figure 3 in Self-reported headache among the employees of a Swiss university hospital: prevalence, disability, current treatment, and economic impact
Figure 3 Percentage of employees with headache distributed according to occupational groups. After correction for age and seX there Was at trend that healthcare staff, administration, and medical technicians suffered more from headaches than physicians. See teXt. The absolute numbers of respondents are given on the respective columns.
Figure 4 in Self-reported headache among the employees of a Swiss university hospital: prevalence, disability, current treatment, and economic impact
Figure 4 MIDAS grades in respondents with migraine and tension-type headache employed in a Swiss university hospital. Grade 1 (scores 0–5) = little or no disability; grade 2 (scores 6–10) = mild disability; grade 3 (scores 11–20) = moderate disability; grade 4 (score ≥ 21) = severe disability [14]. There Was significant association betWeen headache diagnosis and MIDAS grade (p<0.001).
Figure 2 in Self-reported headache among the employees of a Swiss university hospital: prevalence, disability, current treatment, and economic impact
Figure 2 Flow chart of the study: Participation and sample characteristics.
A COMPARISON OF HOSPITAL-BASED EXERCISE AND HOME-BASED TELE-EXERCISE TRAINING ON CAPILLARY BLOOD LACTATE PARAMETERS AND MAXIMUM OXYGEN VOLUME IN HEART FAILURE REDUCED EJECTION FRACTION PATIENTS
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Hospitality Measurement
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In depth interview guideline for Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia
<p>The data contains in-depth interview guidline for <span><span>Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study</span></span></p> <p><span> </span></p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.