Categories
Nevin Manimala Statistics

Machine Alarm Fatigue among Hemodialysis Nurses in 29 Tertiary Hospitals

Appl Clin Inform. 2024 Apr 1. doi: 10.1055/a-2297-4652. Online ahead of print.

ABSTRACT

Objectives To understand the status quo and related influencing factors of machine alarm fatigue of hemodialysis nurses in tertiary hospitals in XXX. Methods This cross-sectional study employed convenience sampling to select 460 nurses from 29 tertiary hospitals in XXX, who are involved in hemodialysis care. Surveys were conducted using General Information Questionnaire, Alarm Fatigue Scale, National Aeronautics and Space Administration Task Load Index(NASA-TLX) and Maslach Burnout Inventory Scale (MBI). Results The overall machine alarm fatigue score for 460 hemodialysis nurses from 29 tertiary hospitals in XXX was (16.43±6.44), indicating a moderate level. The multiple linear regression analysis shows that years of experience in hemodialysis nursing, the number of patients managed per shift, whether specialized nursing training has been received, self-reported health status, emotional exhaustion, and workload have statistically significant associations with alarm fatigue among hemodialysis nurses (P < 0.05). Among them, years of experience in hemodialysis nursing, the number of patients managed per shift, and workload are positively correlated with alarm fatigue among hemodialysis nurses. Conclusion This study indicates that certain demographic factors, workload, and occupational burnout are associated with machine alarm fatigue among hemodialysis nurses. Therefore, hemodialysis-related managers should establish a Machine Alarm Management System, implement Personalized Thresholds and Delayed Alarms, ensure reasonable staffing arrangements, improve compassion fatigue, and enhance anticipatory care. These measures aim to improve the health and psychological well-being of hemodialysis nurses, provide a conducive environment for professional training in hemodialysis, and ultimately address the current situation of machine alarm fatigue among hemodialysis nurses.

PMID:38560990 | DOI:10.1055/a-2297-4652

Categories
Nevin Manimala Statistics

Rhinoplasty Health Inventory and Nasal Outcomes (RHINO) scale: Translation, Cross-cultural adaptation and Validation for Hebrew-speaking patients

Facial Plast Surg. 2024 Apr 1. doi: 10.1055/a-2297-4494. Online ahead of print.

ABSTRACT

BACKGROUND: Patient reported outcomes questionnaires are accepted measurement tools to evaluate procedures results. The Rhinoplasty Health Inventory and Nasal Outcomes (RHINO) scale is an English-language validated and reliable quality-of-life instrument that evaluates both functional and aesthetic outcomes after rhinoplasty, and is not available in Hebrew.

METHODS: We followed the forward-and-back-translation method, defined by the European Organization for Research and Treatment of Cancer (EORTC). Translation of RHINO-scale and merging it into one version was made, following back-translation and validation on native Hebrew-speaking patients who underwent rhinoplasty and control healthy group. Lastly, we review and analyzed the results.

RESULTS: The translated questionnaire had high reliability measures, demonstrating homogeneity (alpha value 0.800 in the rhinoplasty group and 0.896 in the control group), test-retest reproducibility with no significant difference (P = 0.5), and high agreement scores represented by the Bland-Altman plot (95% limits of agreement ranged from 8.78 to 9.80). Validity demonstrated by significant differences between the two study groups mean questionnaire scores (P < 0.001 for rhinoplasty vs controls, P < 0.001 for preoperative vs postoperative, and P = 0.002 for postoperative vs control group) and also between the aesthetic scores and functional scores of the rhinoplasty group before and after the surgery (P < 0.001). There were no reported understanding problems. Conclusions The Hebrew version of the RHINO scale is a reliable and valid tool for pre- and post rhinoplasty surgery outcomes measuring among Hebrew-speaking patients, and can improve coordination of expectations, follow-up and quantify subjective evaluation of the surgery.

PMID:38560987 | DOI:10.1055/a-2297-4494

Categories
Nevin Manimala Statistics

Contrasting effects of music therapy and aromatherapy on perioperative anxiety: A systematic review and meta-analysis

Complement Med Res. 2024 Apr 1. doi: 10.1159/000538425. Online ahead of print.

ABSTRACT

INTRODUCTION: Music therapy and aromatherapy have been demonstrated effective for perioperative anxiety. However, the available studies have indicated discordant results about which adjunct treatment is better for perioperative anxiety. Therefore, we conducted this meta-analysis to explore the contrasting effects between them.

METHODS: Six electronic databases were searched for clinical trials evaluating the efficacy of music therapy compared with aromatherapy in alleviating perioperative anxiety. The primary outcome was the postintervention anxiety level. Secondary outcomes included differences in blood pressure and heart rate before and after the intervention as well as pain scores at intraoperative and postoperative time points. The study protocol was registered on PROSPERO (CRD42021249737).

RESULTS: Twelve studies (894 patients) were included. The anxiety level showed no statistically significant difference (SMD, 0.28; 95% CI: -0.12, 0.68; P =.17). The analysis of blood pressure and heart rate also did not identify statistically significant differences. Notably, the pain scores at the intraoperative time point suggested that aromatherapy was superior to music therapy (WMD, 0.29 cm; 95% CI: 0.05, 0.52; P =.02), while those at 4 hours after surgery indicated the opposite results (WMD, -0.48 cm; 95% CI: -0.60, -0.36; P <.001).

CONCLUSION: Low-to-moderate quality evidence suggests that music therapy and aromatherapy have similar potential to relieve perioperative anxiety. The potential data indicates that the two therapies have different benefits in intervention duration and age distribution. More direct high-quality comparisons are encouraged in the future to verify this point.

PMID:38560980 | DOI:10.1159/000538425

Categories
Nevin Manimala Statistics

Uncovering predictors of low hippocampal volume: Evidence from a large-scale machine-learning-based study in the UK Biobank

Neuroepidemiology. 2024 Apr 1. doi: 10.1159/000538565. Online ahead of print.

ABSTRACT

INTRODUCTION: Hippocampal atrophy is an established biomarker for conversion from the normal ageing process to developing cognitive impairment and dementia. This study used a novel hypothesis-free machine-learning approach, to uncover potential risk factors of lower hippocampal volume using information from the world’s largest brain imaging study.

METHODS: A combination of machine learning and conventional statistical methods were used to identify predictors of low hippocampal volume. We run gradient boosting decision tree modelling including 2891 input features measured before magnetic resonance imaging assessments (median 9.2 years, range 4.2-13.8 years) using data from 42,152 dementia-free UK Biobank participants. Logistic regression analyses were run on 87 factors identified as important for prediction based on Shapley values. False discovery rate adjusted P-value <0.05 was used to declare statistical significance.

RESULTS: Older age, male sex, greater height, and whole-body fat free mass were the main predictors of low hippocampal volume with the model also identifying associations with lung function and lifestyle factors including smoking, physical activity, and coffee intake (corrected P<0.05 for all). Red blood cell count and several red blood cell indices such as haemoglobin concentration, mean corpuscular haemoglobin, mean corpuscular volume, mean reticulocyte volume, mean sphered cell volume, and red blood cell distribution width were among many biomarkers associated with low hippocampal volume.

CONCLUSION: Lifestyles, physical measures, and biomarkers may affect hippocampal volume, with many of the characteristics potentially reflecting oxygen supply to the brain. Further studies are required to establish causality and clinical relevance of these findings.

PMID:38560977 | DOI:10.1159/000538565

Categories
Nevin Manimala Statistics

Fostering Diversity in Urology: Addressing Ethnic Disparities in Applicant and Resident Recruitment

Urol Pract. 2024 Mar 11:101097UPJ0000000000000521. doi: 10.1097/UPJ.0000000000000521. Online ahead of print.

ABSTRACT

INTRODUCTION: In this retrospective database review, the objective was to investigate the ethnic composition of urology applicants and residents in recent years and assess whether any advancements have been made in enhancing the recruitment of candidates from historically underrepresented groups in medicine.

METHODS: A retrospective database review was conducted on self-reported data on the ethnicity of urology applicants from academic year 2016 to 2017 (AY2016) to AY2021 and urology residents from AY2011 to AY2021. Applicant data were collected from the Association of American Medical Colleges, and resident data were collected from the Accreditation Council for Graduate Medical Education. The ethnic proportions of applicants and residents within cohorts were analyzed using χ2 tests, and differences between cohorts were analyzed using Z tests.

RESULTS: There was a statistically significant decrease in the proportion of White applicants from 61.4% to 50.5% from AY2016 to AY2021 and a statistically significant increase in the proportion of applicants of multiple race/ethnicity from 4.7% to 12.0% from AY2016 to AY2021. There were disproportionately more Hispanic/Latino residents than applicants and disproportionately fewer residents of multiple race/ethnicity than applicants in the 2 cycles analyzed. There were disproportionately fewer Black residents than applicants only in the comparison of AY2016 to AY2020 applicants to AY2020 residents.

CONCLUSIONS: There continues to be a lack of ethnic representation among applicants and residents in urology from underrepresented groups in medicine, despite some measurable improvement over the years. This deficit highlights the important need for new and ongoing efforts to diversify the field.

PMID:38560948 | DOI:10.1097/UPJ.0000000000000521

Categories
Nevin Manimala Statistics

Transpalpebral mini-orbitozygomatic approach for nonvascular skull base lesions: a single neurosurgeon’s experience

Neurosurg Focus. 2024 Apr;56(4):E11. doi: 10.3171/2024.1.FOCUS23875.

ABSTRACT

OBJECTIVE: The authors aim to describe the advantages, utility, and disadvantages of the transpalpebral mini-orbitozygomatic (MOZ) approach for tumors of the lateral and superior orbit, orbital apex, anterior clinoid, anterior cranial fossa, middle cranial fossa, and parasellar region.

METHODS: The surgical approach from skin incision to closure is described while highlighting key technical and anatomical considerations, and cadaveric dissection demonstrates the surgical steps and focuses on important anatomy. Intraoperative images were included to supplement the cadaveric dissection. A retrospective review of adults who had undergone the MOZ approach for nonvascular pathology performed by a single neurosurgeon from 2017 to 2023 was included in this institutional review board-approved study. Descriptive statistics was used to summarize the data. Four representative cases were included to demonstrate the utility of the MOZ approach.

RESULTS: The study included 65 patients (46 female, 19 male), average age 54.84 years, who had undergone transpalpebral MOZ surgery. Presenting symptoms included visual changes (53.8% of cases), vision loss (23.1%), diplopia (21.8%), and proptosis (13.8%). The optic nerve and optic chiasm were involved in 32.3% and 10.8% of cases, respectively. The most common pathology was meningioma (81.5% of cases), and gross-total resection was achieved in 50% of all cases. Major complications included an infection and a carotid injury. Improvement of preoperative symptoms was reported in 92.2% of cases. Visual acuity improved in 12 patients. The mean follow-up was 8.57 ± 8.45 months.

CONCLUSIONS: The MOZ approach is safe and durable. The transpalpebral incision provides better cosmesis and functional outcomes than those of standard anterolateral approaches to the skull base. Careful consideration of the limits of the approach is paramount to appropriate application on a case-by-case basis. Further quantitative anatomical studies can help to define and compare the utility of the approach to open cranio-orbital and endoscopic transorbital approaches.

PMID:38560929 | DOI:10.3171/2024.1.FOCUS23875

Categories
Nevin Manimala Statistics

Work-related factors of mental health among Chicago residents two years into the COVID-19 pandemic

J Occup Environ Hyg. 2024 Apr 1:1-13. doi: 10.1080/15459624.2024.2323108. Online ahead of print.

ABSTRACT

The COVID-19 pandemic led to widespread consequences for economic, social, and general wellbeing with rates of anxiety and depression increasing across the population and disproportionately for some workers. This study explored which factors were the most salient contributors to mental health through a cross-sectional 68-item questionnaire that addressed topics related to the pandemic. Data were collected through an address-based sampling frame over the two months from April 2022 to June 2022. A total of 2,049 completed surveys were collected throughout Chicago’s 77 Community Areas. Descriptive statistics including frequency and percentages were generated to describe workplace characteristics, work-related stress, and sample demographics and their relationship to psychological distress. Independent participant and workplace factors associated with the outcomes were identified using multivariable logistic regression. The weighted prevalence of persons experiencing some form of psychological distress from mild to serious was 32%. After adjusting for potential confounding factors, certain marginalized communities experienced psychological distress more than others including females, adults over the age of 25 years of age, and people with higher income levels. Those who had been laid off, lost pay, or had reduced hours had increased odds of psychological distress (aOR = 1.71, CI95% 1.14-2.56; p = 0.009) as did people that reported that their work-related stress was somewhat or much worse as compared to before the COVID-19 pandemic (aOR = 2.22, CI95% 1.02-4.82; p = 0.04, aOR = 11.0, CI95% 4.65-26.1; p < 0.001, respectively). These results warrant further investigation and consideration in developing workplace and mental health interventions.

PMID:38560920 | DOI:10.1080/15459624.2024.2323108

Categories
Nevin Manimala Statistics

Disparities in Tuberculosis Incidence by Race and Ethnicity Among the U.S.-Born Population in the United States, 2011 to 2021 : An Analysis of National Disease Registry Data

Ann Intern Med. 2024 Apr 2. doi: 10.7326/M23-2975. Online ahead of print.

ABSTRACT

BACKGROUND: Elevated tuberculosis (TB) incidence rates have recently been reported for racial/ethnic minority populations in the United States. Tracking such disparities is important for assessing progress toward national health equity goals and implementing change.

OBJECTIVE: To quantify trends in racial/ethnic disparities in TB incidence among U.S.-born persons.

DESIGN: Time-series analysis of national TB registry data for 2011 to 2021.

SETTING: United States.

PARTICIPANTS: U.S.-born persons stratified by race/ethnicity.

MEASUREMENTS: TB incidence rates, incidence rate differences, and incidence rate ratios compared with non-Hispanic White persons; excess TB cases (calculated from incidence rate differences); and the index of disparity. Analyses were stratified by sex and by attribution of TB disease to recent transmission and were adjusted for age, year, and state of residence.

RESULTS: In analyses of TB incidence rates for each racial/ethnic population compared with non-Hispanic White persons, incidence rate ratios were as high as 14.2 (95% CI, 13.0 to 15.5) among American Indian or Alaska Native (AI/AN) females. Relative disparities were greater for females, younger persons, and TB attributed to recent transmission. Absolute disparities were greater for males. Excess TB cases in 2011 to 2021 represented 69% (CI, 66% to 71%) and 62% (CI, 60% to 64%) of total cases for females and males, respectively. No evidence was found to indicate that incidence rate ratios decreased over time, and most relative disparity measures showed small, statistically nonsignificant increases.

LIMITATION: Analyses assumed complete TB case diagnosis and self-report of race/ethnicity and were not adjusted for medical comorbidities or social determinants of health.

CONCLUSION: There are persistent disparities in TB incidence by race/ethnicity. Relative disparities were greater for AI/AN persons, females, and younger persons, and absolute disparities were greater for males. Eliminating these disparities could reduce overall TB incidence by more than 60% among the U.S.-born population.

PRIMARY FUNDING SOURCE: Centers for Disease Control and Prevention.

PMID:38560914 | DOI:10.7326/M23-2975

Categories
Nevin Manimala Statistics

Development of a Multivariable Model to Predict the Need for Bone Marrow Sampling in Persons With Monoclonal Gammopathy of Undetermined Significance : A Cohort Study Nested in a Clinical Trial

Ann Intern Med. 2024 Apr 2. doi: 10.7326/M23-2540. Online ahead of print.

ABSTRACT

BACKGROUND: Monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) are asymptomatic precursor conditions to multiple myeloma and related disorders. Smoldering multiple myeloma is distinguished from MGUS by 10% or greater bone marrow plasma cells (BMPC) on sampling, has a higher risk for progression, and requires specialist management.

OBJECTIVE: To develop a multivariable prediction model that predicts the probability that a person with presumed MGUS has 10% or greater BMPC (SMM or worse by bone marrow criteria) to inform the decision to obtain a bone marrow sample and compare its performance to the Mayo Clinic risk stratification model.

DESIGN: iStopMM (Iceland Screens, Treats or Prevents Multiple Myeloma), a prospective population-based screening study of MGUS. (ClinicalTrials.gov: NCT03327597).

SETTING: Icelandic population of adults aged 40 years or older.

PATIENTS: 1043 persons with IgG, IgA, light-chain, and biclonal MGUS detected by screening and an interpretable bone marrow sample.

MEASUREMENTS: Monoclonal gammopathy of undetermined significance isotype; monoclonal protein concentration; free light-chain ratio; and total IgG, IgM, and IgA concentrations were used as predictors. Bone marrow plasma cells were categorized as 0% to 4%, 5% to 9%, 10% to 14%, or 15% or greater.

RESULTS: The c-statistic for SMM or worse was 0.85 (95% CI, 0.82 to 0.88), and calibration was excellent (intercept, -0.07; slope, 0.95). At a threshold of 10% predicted risk for SMM or worse, sensitivity was 86%, specificity was 67%, positive predictive value was 32%, and negative predictive value was 96%. Compared with the Mayo Clinic model, the net benefit for the decision to refer for sampling was between 0.13 and 0.30 higher over a range of plausible low-risk thresholds.

LIMITATION: The prediction model will require external validation.

CONCLUSION: This accurate prediction model for SMM or worse was developed in a population-based cohort of persons with presumed MGUS and may be used to defer bone marrow sampling and referral to hematology.

PRIMARY FUNDING SOURCE: International Myeloma Foundation and the European Research Council.

PMID:38560901 | DOI:10.7326/M23-2540

Categories
Nevin Manimala Statistics

Predicting Antibiotic Resistance and Assessing the Risk Burden from Antibiotics: A Holistic Modeling Framework in a Tropical Reservoir

Environ Sci Technol. 2024 Apr 1. doi: 10.1021/acs.est.3c10467. Online ahead of print.

ABSTRACT

Predicting the hotspots of antimicrobial resistance (AMR) in aquatics is crucial for managing associated risks. We developed an integrated modeling framework toward predicting the spatiotemporal abundance of antibiotics, indicator bacteria, and their corresponding antibiotic-resistant bacteria (ARB), as well as assessing the potential AMR risks to the aquatic ecosystem in a tropical reservoir. Our focus was on two antibiotics, sulfamethoxazole (SMX) and trimethoprim (TMP), and on Escherichia coli (E. coli) and its variant resistant to sulfamethoxazole-trimethoprim (EC_SXT). We validated the predictive model using withheld data, with all Nash-Sutcliffe efficiency (NSE) values above 0.79, absolute relative difference (ARD) less than 25%, and coefficient of determination (R2) greater than 0.800 for the modeled targets. Predictions indicated concentrations of 1-15 ng/L for SMX, 0.5-5 ng/L for TMP, and 0 to 5 (log10 MPN/100 mL) for E. coli and -1.1 to 3.5 (log10 CFU/100 mL) for EC_SXT. Risk assessment suggested that the predicted TMP could pose a higher risk of AMR development than SMX, but SMX could possess a higher ecological risk. The study lays down a hybrid modeling framework for integrating a statistic model with a process-based model to predict AMR in a holistic manner, thus facilitating the development of a better risk management framework.

PMID:38560895 | DOI:10.1021/acs.est.3c10467