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Nevin Manimala Statistics

Injury patterns and outcomes in bicycle-related maxillofacial traumata: A retrospective analysis of 162 cases

J Craniomaxillofac Surg. 2021 Sep 28:S1010-5182(21)00217-1. doi: 10.1016/j.jcms.2021.09.013. Online ahead of print.

ABSTRACT

The objective of the current study is to retrospectively evaluate cycling related dental and maxillofacial injuries and to gain insight into the epidemiology and results of these accidents. Data of patients who were admitted due to the maxillofacial injuries between April 2018 and September 2020 were retrospectively evaluated regarding the patients’ characteristics, helmet wearing, type of radiological assessment required for diagnosis and therapy, injury patterns, duration of hospitalization and concomitant injuries. Data of 162 patients were included. 86 (53.08%) patients presented with at least one maxillofacial fracture. A total of 186 maxillofacial bones were fractured. Zygomatico-maxillary complex was the most commonly affected region (n:103, 55,36%). Analysis of the dental traumata revealed that crown fracture without pulp exposure was the most commonly observed entity (n:37, 32.46%) and upper central incisors (n:61, 53.50%) were the most commonly affected teeth. The overall ratio of the number of the fracture line/fracture case was 2.80. However, this ratio was statistically higher in e-bike cases (4.25) compared to non-e-bike riders (2.34) (p:0.014). Bicycle related maxillofacial injuries could correlate with specific morbidity rates and result in severe injuries of the maxillofacial region.

PMID:34620537 | DOI:10.1016/j.jcms.2021.09.013

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Demographic and clinical factors associated with variations in opioid administration using conscious sedation during HDR brachytherapy for cervical cancer

Brachytherapy. 2021 Oct 4:S1538-4721(21)00458-X. doi: 10.1016/j.brachy.2021.07.008. Online ahead of print.

ABSTRACT

PURPOSE/OBJECTIVES To examine patient characteristics that predispose to higher opioid administration during tandem and ovoid (T&O) high-dose rate (HDR) brachytherapy. METHODS A single-institution retrospective review was performed on patients who underwent brachytherapy for cervical cancer. Patients were included if they received at least one fraction of HDR T&O brachytherapy with analgesia administration recorded in the Medication Administration Record. Fentanyl dose was dichotomized as “low” (mean <125 μg per fraction), or “high” (mean ≥ 125 μg per fraction). Descriptive statistics and multiple logistic regression analysis were performed comparing mean opioid dose per fraction with demographic and clinical information. RESULTS From July 2014 through May 2020, 113 patients underwent 531 T&O HDR brachytherapy fractions with oral benzodiazepine and intravenous opioid fentanyl for conscious sedation. The median opioid dose per fraction was 100 μg fentanyl (range 0-250 μg). Using multiple logistic regression analysis, younger age (OR 1.071, p = 0.002) and higher BMI (OR 1.091, p = 0.019) were associated with increased opioid administration during brachytherapy. Black women received less opioid during brachytherapy when compared to White women (OR 0.296, p = 0.047). FIGO stage, ECOG score, smoking status, prior narcotic use, prior illicit drug use, parity, prior cervical procedure, Smit sleeve placement, and distance to treatment center were not associated with high opioid dose. CONCLUSION Cervical cancer patients who are younger or have higher BMI receive more narcotic analgesia during HDR brachytherapy whereas Black women received less narcotic analgesia, irrespective of age and BMI. This underscores the immediate need to address how pain is assessed and managed during brachytherapy.

PMID:34620572 | DOI:10.1016/j.brachy.2021.07.008

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Nevin Manimala Statistics

More than a skin disease: stress, depression, anxiety levels, and serum neurotrophins in lichen simplex chronicus

An Bras Dermatol. 2021 Oct 4:S0365-0596(21)00217-8. doi: 10.1016/j.abd.2021.04.011. Online ahead of print.

ABSTRACT

BACKGROUND: Lichen simplex chronicus is a dermatological condition due to excessive scratching, with few studies on psychoneuroimmunology.

OBJECTIVE: We aimed to estimate the levels of stress, depression, and anxiety, and to measure serum levels of neurotrophins in patients with lichen simplex chronicus, and to correlate these parameters with the severity of the disease and pruritus.

METHODS: Thirty-six patients with lichen simplex chronicus and 36 age- and sex-matched healthy controls were included. Each participant was administered the Hospital Anxiety and Depression Scale and Perceived Stress Scale questionnaires, along with a visual analog scale for pruritus. Levels of neurotrophins (brain-derived neurotrophic factor, neurotrophin-3, nerve growth factor, glial cell line-derived neurotrophic factor) were determined by ELISA assays.

RESULTS: The scores of Perceived Stress Scale-10, Hospital Anxiety and Depression Scale were statistically higher in patients (p < 0.05 for all). The serum levels of all neurotrophins were significantly lower in patients compared to healthy controls (p < 0.05 for all). Disease severity showed no correlation with all four neurotrophins. In linear regression models applied for increased visual analog scale-pruritus scores and disease severity these two variables were statistically significant predictors (p = 0.043).

STUDY LIMITATIONS: A direct causal relationship was not addressed.

CONCLUSION: Lichen simplex chronicus patients are at risk of increased levels of stress, anxiety, depression, and present decreased levels of neurotrophins, that may suggest a role in the pathophysiology of this disorder.

PMID:34620525 | DOI:10.1016/j.abd.2021.04.011

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Nevin Manimala Statistics

Equal incidence of COVID-19 among homeless and non-homeless ED patients when controlling for confounders

Am J Emerg Med. 2021 Sep 25:S0735-6757(21)00793-2. doi: 10.1016/j.ajem.2021.09.057. Online ahead of print.

ABSTRACT

INTRODUCTION: The World Health Organization (WHO) declared severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) a pandemic in March 2020. Theoretically, homeless patients could have disproportionately worse outcomes from COVID-19, but little research has corroborated this claim. This study aimed to examine the demographics and incidence of COVID-19 in homeless vs non-homeless emergency department (ED) patients.

METHODS: This is a retrospective study of all patients seen in the University of Louisville Hospital Emergency Department (ULH ED) from March 2019 to December 2020, excluding January and February 2020. Data was collected from the Kentucky Homeless Management Information System (HMIS) and ULH electronic health records.

RESULTS: A total of 51,532 unique patients had 87,869 visits during the study period. There was a 18.1% decrease in homeless patient visits over the time period, which was similar to the decrease in non-homeless patient visits (19.2%). In the total population, 9471 individuals had known COVID-19 testing results, with a total of 610 positive (6.4% positivity rate). Of the 712 homeless ED patients, 39 tested positive (5.5% positivity rate). After adjusting for age, gender identity, race, and insurance, there was no statistically significant difference in test positivity between homeless and non-homeless patients, OR 1.23 (0.88, 1.73). Homeless patients were less likely to be admitted to either the intensive care unit (ICU) or hospital (OR = 0.55, 95% CI: OR 0.51, 0.60) as they were more likely to be discharged (OR = 1.65, 95% CI: 1.52, 1.79).

CONCLUSION: Previous literature has indicated that higher disease burden, lack of access to social distancing, and poor hygiene would increase the risk of homeless individuals contracting COVID-19 and experiencing serious morbidity. However, this study found that homelessness was not an independent risk factor for COVID-19 infection.

PMID:34620530 | DOI:10.1016/j.ajem.2021.09.057

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Nevin Manimala Statistics

Computer visual syndrome in graduate students of a private university in Lima, Perú

Arch Soc Esp Oftalmol (Engl Ed). 2021 Oct;96(10):515-520. doi: 10.1016/j.oftale.2020.12.009. Epub 2021 Jul 24.

ABSTRACT

BACKGROUND: In recent decades, several studies have found a strong association between prolonged use of video display terminals and ophthalmological symptoms encompassed in the so-called computer visual syndrome (CVS). Few studies have addressed this syndrome in graduate students.

METHODS: Observational, cross-sectional descriptive study. A total of 106 postgraduate students were surveyed without ophthalmological pathologies. The diagnosis of CVS was made by means of the questionnaire of Seguí et al. validated in Spanish, which evaluates the frequency and intensity of 16 ocular symptoms.

RESULTS: The prevalence of CVS among graduate university students was 62.3% (95% CI: 52.3-71.5). It was found that the highest proportion of students with the syndrome was in the group of older than 40 years old (88.2%) and in the group 21-30 years old (70.0%), showing statistically significant differences (p = 0.004). According to the device and its time of use, students who used the mobile phone for 7-10 h a day showed a higher prevalence of CVS compared to those who used the device for less time (p = 0.030). The business School had the highest prevalence (75.0%).

CONCLUSION: Three out of every five graduate students presented CVS with this prevalence being like reported in other populations. There is a need to investigate possible interventions that can help reduce this entity.

PMID:34620481 | DOI:10.1016/j.oftale.2020.12.009

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Effectiveness of technological interventions to improve healthcare communication with children with long-term conditions: A systematic review and meta-analysis of randomised controlled trials

Patient Educ Couns. 2021 Sep 29:S0738-3991(21)00642-X. doi: 10.1016/j.pec.2021.09.033. Online ahead of print.

ABSTRACT

OBJECTIVE: This systematic review and meta-analysis aimed to evaluate the effectiveness of technological interventions used to improve communication between healthcare professionals (HCPs) and children with long-term conditions (LTCs).

METHODS: PROSPERO: CRD42020221977. Five electronic databases were searched from inception to May 2021 for randomised controlled trials. Study characteristics were described and random-effects meta-analysis was conducted.

RESULTS: Nineteen studies were included, involving 1995 participants. Technological interventions were found to significantly improve participants’ knowledge of their condition (standardised mean difference [SMD] 0.39; 95% CI 0.07-0.71; p = 0.02) and lead to a more internal health locus of control (SMD 0.50; 95% CI 0.25-0.76; p < 0.0001). There was no statistically significant improvement in physiological measures or emergency healthcare use.

CONCLUSION: This systematic review showed some benefits of using technology to improve communication between HCPs and children with LTCs. Future primary research should use rigorous methods for subsequent reviews to draw conclusions with greater confidence in the evidence. Establishing a core outcome set within this field of study would enable consistent measurement of outcomes.

PRACTICE IMPLICATIONS: Our findings indicate value in integrating communication technologies in the child health setting, aiming to establish greater continuity of care and maintain patient-clinician relationships between healthcare visits.

PMID:34620518 | DOI:10.1016/j.pec.2021.09.033

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Nevin Manimala Statistics

A retrospective study of spine injuries in electric bicycles related collisions

Injury. 2021 Oct 1:S0020-1383(21)00840-8. doi: 10.1016/j.injury.2021.09.059. Online ahead of print.

ABSTRACT

BACKGROUND: Electric bicycles related collisions could lead to severe consequences in spine injuries, while no study had comprehensively investigated the epidemiology and demography of spine injuries in electric bicycles related collisions.

QUESTIONS/PURPOSES: The aim of this study is to (1) describe the epidemiological characteristics of spine injuries in electric bicycles related collisions, (2) develop clinical guideline of spine injuries in electric bicycles related collisions and (3) support the new road safety policy for electric bicycle riders.

METHODS: A retrospective review of spine injuries in electric bicycle related collisions was performed from 86 patients in an urban trauma center between 2018 and 2020. The variables including gender, age, radiographic findings, associated injuries, neurologic injuries, treatment, average length of stay were fully collected. Chi-square test and paired sample mean t-test were used to test for statistically significant differences. All statistical analyses were performed using Statistical Product and Service Solutions 20.0.0 software. A P<0.001 was considered as significant.

RESULTS: A total of 86 cases were involved in electric bicycles related collisions lead to spine injuries. The spine injuries victims were predominantly male (79.07%) and middle-aged (41-60years, 44.19%). The most common spine injuries were L1 fractures (10.48%). The most common fracture type was AO Fracture Classification type A (71.40%). Age and multivertebral fractures had significant difference between patients who suffered from an ASOI and from those who did not (P-value: 0.005, 0.005). There was significant difference between patients who suffered from neurologic injuries and from those who did not in AO Classification, multivertebral fractures and ASOI (P-value: 0.0001, 0.001, 0.032). Age, AO Classification, multivertebral fractures, ASOI and neurologic injuries had significant difference to influence patients’ ISS and ALOS.

CONCLUSIONS: Spine injuries in electric bicycles related collisions may make patients suffer from severe consequences including their potential permanent disability, economic cost, or even life safety. Patients with spine injuries in electric bicycles related collisions should be paid close attention to avoid missed diagnosis and misdiagnosis. Helmet, protective clothing or other safety gear should be required to use to provide greater protection for electric bicycle riders.

PMID:34620469 | DOI:10.1016/j.injury.2021.09.059

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Improvements in planning lacrimal surgery using DICOM Horos® viewer 3D images

Arch Soc Esp Oftalmol (Engl Ed). 2021 Oct;96(10):509-514. doi: 10.1016/j.oftale.2020.12.010. Epub 2021 Jul 27.

ABSTRACT

INTRODUCTION AND OBJECTIVE: The individual anatomic variation of the course of the lacrimal duct and surrounding structures requires the thorough knowledge of its three-dimensional configuration in order to perform the surgery in the safest and most efficient way. The aim of this study was to consider virtual surgical planning in order to improve dacryocystorhinostomies.

METHODS: Horos® was used as a viewer and manager of DICOM-format images for multiplanar, three-dimensional (3D) reconstruction when planning 148 first-time lacrimal operations and 26 reoperations by laser endonasal and endocanalicular DCRs.

RESULTS: The 3D images of the CT dacryocystography were much better identified than the 2D ones, Horos® showing a statistically significant correlation (P < .0001). Over 98.27% of the images match the programme reconstruction. Less than 1.73% of them showed some discordance due to study distortion. These cases were related to trauma. The intraopearative location of the lacrimal system was very accurate, avoiding complications.

CONCLUSIONS: Viewing and studying 3D images, Horos® is a very useful tool for diagnosis and preoperative planning. It is very helpful in complex conditions by marking surgical references, locating the lacrimal sac and controlling the post-operative permeability of the lacrimal system. The information loss produced by the image selection is also avoided. Another great advantage is that the programme is free.

PMID:34620480 | DOI:10.1016/j.oftale.2020.12.010

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Nevin Manimala Statistics

Automated Identification of Surgical Candidates and Estimation of Postoperative Seizure Freedom in Children – A Focused Review

Semin Pediatr Neurol. 2021 Oct;39:100914. doi: 10.1016/j.spen.2021.100914. Epub 2021 Aug 19.

ABSTRACT

Surgery is an effective but underused treatment for drug-resistant epilepsy in children. Algorithms to identify surgical candidates and estimate the likelihood of postoperative clinical improvement may be valuable to improve access to epilepsy surgery. We provide a focused review of these approaches. For adults with epilepsy, tools to identify surgical candidates and predict seizure and cognitive outcomes (Ie, Cases for Epilepsy (toolsforepilepsy.com) and Epilepsy Surgery Grading Scale) have been validated and are in use. Analogous tools for children need development. A promising approach is to apply statistical learning tools to clinical datasets, such as electroencephalogram tracings, imaging studies, and the text of clinician notes. Demonstration projects suggest these techniques have the potential to be highly accurate, and await further validation and clinical application.

PMID:34620464 | DOI:10.1016/j.spen.2021.100914

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Nevin Manimala Statistics

Prognostic models for mortality after cardiac surgery in patients with infective endocarditis: a systematic review and aggregation of prediction models

Clin Microbiol Infect. 2021 Oct;27(10):1422-1430. doi: 10.1016/j.cmi.2021.05.051. Epub 2021 Jul 2.

ABSTRACT

BACKGROUND: There are several prognostic models to estimate the risk of mortality after surgery for active infective endocarditis (IE). However, these models incorporate different predictors and their performance is uncertain.

OBJECTIVE: We systematically reviewed and critically appraised all available prediction models of postoperative mortality in patients undergoing surgery for IE, and aggregated them into a meta-model.

DATA SOURCES: We searched Medline and EMBASE databases from inception to June 2020.

STUDY ELIGIBILITY CRITERIA: We included studies that developed or updated a prognostic model of postoperative mortality in patient with IE.

METHODS: We assessed the risk of bias of the models using PROBAST (Prediction model Risk Of Bias ASsessment Tool) and we aggregated them into an aggregate meta-model based on stacked regressions and optimized it for a nationwide registry of IE patients. The meta-model performance was assessed using bootstrap validation methods and adjusted for optimism.

RESULTS: We identified 11 prognostic models for postoperative mortality. Eight models had a high risk of bias. The meta-model included weighted predictors from the remaining three models (EndoSCORE, specific ES-I and specific ES-II), which were not rated as high risk of bias and provided full model equations. Additionally, two variables (age and infectious agent) that had been modelled differently across studies, were estimated based on the nationwide registry. The performance of the meta-model was better than the original three models, with the corresponding performance measures: C-statistics 0.79 (95% CI 0.76-0.82), calibration slope 0.98 (95% CI 0.86-1.13) and calibration-in-the-large -0.05 (95% CI -0.20 to 0.11).

CONCLUSIONS: The meta-model outperformed published models and showed a robust predictive capacity for predicting the individualized risk of postoperative mortality in patients with IE.

PROTOCOL REGISTRATION: PROSPERO (registration number CRD42020192602).

PMID:34620380 | DOI:10.1016/j.cmi.2021.05.051