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Immediate Teeth in Fibulas: Expanded Clinical Applications and Surgical Technique

J Oral Maxillofac Surg. 2021 Apr 19:S0278-2391(21)00326-8. doi: 10.1016/j.joms.2021.04.005. Online ahead of print.

ABSTRACT

PURPOSE: The placement of immediate implants and teeth during jaw reconstruction using a fibula free flap has increased in recent years. Modifications of traditional fibula reconstructive techniques are needed to maximize success. This technique has not been described in patients requiring simultaneous soft tissue reconstruction. Our patient cohort includes cases with malignant pathology and those requiring skin paddles. With digital workflows and point-of-care 3D printing, surgery is no longer delayed weeks for prosthesis fabrication. The purpose of this case series is to demonstrate a single institution's experience with expanded clinical applications and surgical techniques that enable predictable outcomes for immediate teeth in fibula flaps.

MATERIALS AND METHODS: Ninety-five implants were placed in 22 patients undergoing fibula reconstruction of the jaw with immediate implants and an immediate dental prosthesis. Skin paddles were used in 10 patients while 12 patients had native mucosa. Six patients were treated for malignancies and underwent postoperative radiation. Implant success and complications were compared between implants with skin paddles and implants with native mucosa.

RESULTS: Of 95 implants, 92 implants integrated for a 97% integration rate. All 13 radiated implants in 4 patients integrated. All 36 implants adjacent to skin paddles in 10 patients integrated. Seven implants were lost in a delayed fashion 9 to 15 months postoperatively resulting in a 93% overall implant success rate. Of the 22 patients, diagnoses were benign pathology for 11 patients, malignant pathology for 6 patients, gunshot wounds for 3 patients, and osteoradionecrosis for 2 patients.

CONCLUSION: Immediate placement of dental prostheses on immediate implants during fibula reconstruction of the jaws can be performed with a high rate of predictability. This technique can be expanded to select patients needing skin paddles. Modifications of traditional fibula reconstructive techniques are helpful to minimize soft tissue and prosthetic challenges.

PMID:34029526 | DOI:10.1016/j.joms.2021.04.005

A Simplified Comorbidity Evaluation Predicting Clinical Outcomes Among Patients With Coronavirus Disease 2019

James d'Etienne, MD - Wed, 05/19/2021 - 05:00

J Clin Med Res. 2021 Apr;13(4):237-244. doi: 10.14740/jocmr4476. Epub 2021 Apr 27.

ABSTRACT

BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) have shown a range of clinical outcomes. Previous studies have reported that patient comorbidities are predictive of worse clinical outcomes, especially when patients have multiple chronic diseases. We aim to: 1) derive a simplified comorbidity evaluation and determine its accuracy of predicting clinical outcomes (i.e., hospital admission, intensive care unit (ICU) admission, ventilation, and in-hospital mortality); and 2) determine its performance accuracy in comparison to well-established comorbidity indexes.

METHODS: This was a single-center retrospective observational study. We enrolled all emergency department (ED) patients with COVID-19 from March 1, 2020, to December 31, 2020. A simplified comorbidity evaluation (COVID-related high-risk chronic condition (CCC)) was derived to predict different clinical outcomes using multivariate logistic regressions. In addition, chronic diseases included in the Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI) were scored, and its accuracy of predicting COVID-19 clinical outcomes was also compared with the CCC.

RESULTS: Data were retrieved from 90,549 ED patient visits during the study period, among which 3,864 patients were COVID-19 positive. Forty-seven point nine percent (1,851/3,864) were admitted to the hospital, 9.4% (364) patients were admitted to the ICU, 6.2% (238) received invasive mechanical ventilation, and 4.6% (177) patients died in the hospital. The CCC evaluation correlated well with the four studied clinical outcomes. The adjusted odds ratios of predicting in-hospital death from CCC was 2.84 (95% confidence interval (CI): 1.81 - 4.45, P < 0.001). C-statistics of CCC predicting in-hospital all-cause mortality was 0.73 (0.69 - 0.76), similar to those of the CCI's (0.72) and ECI's (0.71, P = 0.0513).

CONCLUSIONS: CCC can accurately predict clinical outcomes among patients with COVID-19. Its performance accuracies for such predictions are not inferior to those of the CCI or ECI's.

PMID:34007362 | PMC:PMC8110217 | DOI:10.14740/jocmr4476

A Simplified Comorbidity Evaluation Predicting Clinical Outcomes Among Patients With Coronavirus Disease 2019

Hao Wang, MD - Wed, 05/19/2021 - 05:00

J Clin Med Res. 2021 Apr;13(4):237-244. doi: 10.14740/jocmr4476. Epub 2021 Apr 27.

ABSTRACT

BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) have shown a range of clinical outcomes. Previous studies have reported that patient comorbidities are predictive of worse clinical outcomes, especially when patients have multiple chronic diseases. We aim to: 1) derive a simplified comorbidity evaluation and determine its accuracy of predicting clinical outcomes (i.e., hospital admission, intensive care unit (ICU) admission, ventilation, and in-hospital mortality); and 2) determine its performance accuracy in comparison to well-established comorbidity indexes.

METHODS: This was a single-center retrospective observational study. We enrolled all emergency department (ED) patients with COVID-19 from March 1, 2020, to December 31, 2020. A simplified comorbidity evaluation (COVID-related high-risk chronic condition (CCC)) was derived to predict different clinical outcomes using multivariate logistic regressions. In addition, chronic diseases included in the Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI) were scored, and its accuracy of predicting COVID-19 clinical outcomes was also compared with the CCC.

RESULTS: Data were retrieved from 90,549 ED patient visits during the study period, among which 3,864 patients were COVID-19 positive. Forty-seven point nine percent (1,851/3,864) were admitted to the hospital, 9.4% (364) patients were admitted to the ICU, 6.2% (238) received invasive mechanical ventilation, and 4.6% (177) patients died in the hospital. The CCC evaluation correlated well with the four studied clinical outcomes. The adjusted odds ratios of predicting in-hospital death from CCC was 2.84 (95% confidence interval (CI): 1.81 - 4.45, P < 0.001). C-statistics of CCC predicting in-hospital all-cause mortality was 0.73 (0.69 - 0.76), similar to those of the CCI's (0.72) and ECI's (0.71, P = 0.0513).

CONCLUSIONS: CCC can accurately predict clinical outcomes among patients with COVID-19. Its performance accuracies for such predictions are not inferior to those of the CCI or ECI's.

PMID:34007362 | PMC:PMC8110217 | DOI:10.14740/jocmr4476

A Simplified Comorbidity Evaluation Predicting Clinical Outcomes Among Patients With Coronavirus Disease 2019

Chet Schrader, MD - Wed, 05/19/2021 - 05:00

J Clin Med Res. 2021 Apr;13(4):237-244. doi: 10.14740/jocmr4476. Epub 2021 Apr 27.

ABSTRACT

BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) have shown a range of clinical outcomes. Previous studies have reported that patient comorbidities are predictive of worse clinical outcomes, especially when patients have multiple chronic diseases. We aim to: 1) derive a simplified comorbidity evaluation and determine its accuracy of predicting clinical outcomes (i.e., hospital admission, intensive care unit (ICU) admission, ventilation, and in-hospital mortality); and 2) determine its performance accuracy in comparison to well-established comorbidity indexes.

METHODS: This was a single-center retrospective observational study. We enrolled all emergency department (ED) patients with COVID-19 from March 1, 2020, to December 31, 2020. A simplified comorbidity evaluation (COVID-related high-risk chronic condition (CCC)) was derived to predict different clinical outcomes using multivariate logistic regressions. In addition, chronic diseases included in the Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI) were scored, and its accuracy of predicting COVID-19 clinical outcomes was also compared with the CCC.

RESULTS: Data were retrieved from 90,549 ED patient visits during the study period, among which 3,864 patients were COVID-19 positive. Forty-seven point nine percent (1,851/3,864) were admitted to the hospital, 9.4% (364) patients were admitted to the ICU, 6.2% (238) received invasive mechanical ventilation, and 4.6% (177) patients died in the hospital. The CCC evaluation correlated well with the four studied clinical outcomes. The adjusted odds ratios of predicting in-hospital death from CCC was 2.84 (95% confidence interval (CI): 1.81 - 4.45, P < 0.001). C-statistics of CCC predicting in-hospital all-cause mortality was 0.73 (0.69 - 0.76), similar to those of the CCI's (0.72) and ECI's (0.71, P = 0.0513).

CONCLUSIONS: CCC can accurately predict clinical outcomes among patients with COVID-19. Its performance accuracies for such predictions are not inferior to those of the CCI or ECI's.

PMID:34007362 | PMC:PMC8110217 | DOI:10.14740/jocmr4476

A Simplified Comorbidity Evaluation Predicting Clinical Outcomes Among Patients With Coronavirus Disease 2019

J Clin Med Res. 2021 Apr;13(4):237-244. doi: 10.14740/jocmr4476. Epub 2021 Apr 27.

ABSTRACT

BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) have shown a range of clinical outcomes. Previous studies have reported that patient comorbidities are predictive of worse clinical outcomes, especially when patients have multiple chronic diseases. We aim to: 1) derive a simplified comorbidity evaluation and determine its accuracy of predicting clinical outcomes (i.e., hospital admission, intensive care unit (ICU) admission, ventilation, and in-hospital mortality); and 2) determine its performance accuracy in comparison to well-established comorbidity indexes.

METHODS: This was a single-center retrospective observational study. We enrolled all emergency department (ED) patients with COVID-19 from March 1, 2020, to December 31, 2020. A simplified comorbidity evaluation (COVID-related high-risk chronic condition (CCC)) was derived to predict different clinical outcomes using multivariate logistic regressions. In addition, chronic diseases included in the Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI) were scored, and its accuracy of predicting COVID-19 clinical outcomes was also compared with the CCC.

RESULTS: Data were retrieved from 90,549 ED patient visits during the study period, among which 3,864 patients were COVID-19 positive. Forty-seven point nine percent (1,851/3,864) were admitted to the hospital, 9.4% (364) patients were admitted to the ICU, 6.2% (238) received invasive mechanical ventilation, and 4.6% (177) patients died in the hospital. The CCC evaluation correlated well with the four studied clinical outcomes. The adjusted odds ratios of predicting in-hospital death from CCC was 2.84 (95% confidence interval (CI): 1.81 - 4.45, P < 0.001). C-statistics of CCC predicting in-hospital all-cause mortality was 0.73 (0.69 - 0.76), similar to those of the CCI's (0.72) and ECI's (0.71, P = 0.0513).

CONCLUSIONS: CCC can accurately predict clinical outcomes among patients with COVID-19. Its performance accuracies for such predictions are not inferior to those of the CCI or ECI's.

PMID:34007362 | PMC:PMC8110217 | DOI:10.14740/jocmr4476

Role of HEART score in evaluating clinical outcomes among emergency department patients with different ethnicities

Hao Wang, MD - Fri, 04/30/2021 - 05:00

J Int Med Res. 2021 Apr;49(4):3000605211010638. doi: 10.1177/03000605211010638.

ABSTRACT

OBJECTIVE: We aimed to examine the role of the HEART (history, EKG, age, risk factors, and troponin) score in the evaluation of six clinical outcomes among three groups of patients in the emergency department (ED).

METHODS: We performed a retrospective observational study among three ED patient groups including White, Black, and Hispanic patients. ED providers used the HEART score to assess the need for patient hospital admission and for emergent cardiac imaging tests (CITs). HEART scores were measured using classification accuracy rates. Performance accuracies were measured in terms of HEART score in relation to four clinical outcomes (positive findings of CITs, ED returns, hospital readmissions, and 30-day major adverse cardiac events [MACE]).

RESULTS: A high classification accuracy rate (87%) was found for use of the HEART score to determine hospital admission. HEART scores showed moderate accuracy (area under the receiver operating characteristic curve 0.66-0.78) in predicting results of emergent CITs, 30-day hospital readmissions, and 30-day MACE outcomes.

CONCLUSIONS: Providers adhered to use of the HEART score to determine hospital admission. The HEART score may be associated with emergent CIT findings, 30-day hospital readmissions, and 30-day MACE outcomes, with no differences among White, Black, and Hispanic patient populations.

PMID:33926275 | DOI:10.1177/03000605211010638

Role of HEART score in evaluating clinical outcomes among emergency department patients with different ethnicities

Chet Schrader, MD - Fri, 04/30/2021 - 05:00

J Int Med Res. 2021 Apr;49(4):3000605211010638. doi: 10.1177/03000605211010638.

ABSTRACT

OBJECTIVE: We aimed to examine the role of the HEART (history, EKG, age, risk factors, and troponin) score in the evaluation of six clinical outcomes among three groups of patients in the emergency department (ED).

METHODS: We performed a retrospective observational study among three ED patient groups including White, Black, and Hispanic patients. ED providers used the HEART score to assess the need for patient hospital admission and for emergent cardiac imaging tests (CITs). HEART scores were measured using classification accuracy rates. Performance accuracies were measured in terms of HEART score in relation to four clinical outcomes (positive findings of CITs, ED returns, hospital readmissions, and 30-day major adverse cardiac events [MACE]).

RESULTS: A high classification accuracy rate (87%) was found for use of the HEART score to determine hospital admission. HEART scores showed moderate accuracy (area under the receiver operating characteristic curve 0.66-0.78) in predicting results of emergent CITs, 30-day hospital readmissions, and 30-day MACE outcomes.

CONCLUSIONS: Providers adhered to use of the HEART score to determine hospital admission. The HEART score may be associated with emergent CIT findings, 30-day hospital readmissions, and 30-day MACE outcomes, with no differences among White, Black, and Hispanic patient populations.

PMID:33926275 | DOI:10.1177/03000605211010638

Role of HEART score in evaluating clinical outcomes among emergency department patients with different ethnicities

J Int Med Res. 2021 Apr;49(4):3000605211010638. doi: 10.1177/03000605211010638.

ABSTRACT

OBJECTIVE: We aimed to examine the role of the HEART (history, EKG, age, risk factors, and troponin) score in the evaluation of six clinical outcomes among three groups of patients in the emergency department (ED).

METHODS: We performed a retrospective observational study among three ED patient groups including White, Black, and Hispanic patients. ED providers used the HEART score to assess the need for patient hospital admission and for emergent cardiac imaging tests (CITs). HEART scores were measured using classification accuracy rates. Performance accuracies were measured in terms of HEART score in relation to four clinical outcomes (positive findings of CITs, ED returns, hospital readmissions, and 30-day major adverse cardiac events [MACE]).

RESULTS: A high classification accuracy rate (87%) was found for use of the HEART score to determine hospital admission. HEART scores showed moderate accuracy (area under the receiver operating characteristic curve 0.66-0.78) in predicting results of emergent CITs, 30-day hospital readmissions, and 30-day MACE outcomes.

CONCLUSIONS: Providers adhered to use of the HEART score to determine hospital admission. The HEART score may be associated with emergent CIT findings, 30-day hospital readmissions, and 30-day MACE outcomes, with no differences among White, Black, and Hispanic patient populations.

PMID:33926275 | DOI:10.1177/03000605211010638

A case of toxic transdermal absorption of isopropyl alcohol with falsely elevated creatinine

Am J Emerg Med. 2021 Apr 18:S0735-6757(21)00318-1. doi: 10.1016/j.ajem.2021.04.032. Online ahead of print.

ABSTRACT

Transdermal absorption of isopropyl alcohol (IPA) can cause toxicity at high doses, but case reports of this phenomenon are limited. This is a single patient encounter and chart review describing a 33-year-old previously healthy female who presented obtunded, wrapped in IPA soaked round cotton pads with overlying shrink wrap, her family's home remedy for a mild persistent rash. This case highlights several interesting aspects of IPA toxicity, including evidence that toxic doses of IPA are possible through transdermal absorption and creatinine may be falsely elevated due to acetone's interference with the measurement of creatinine on some assays.

PMID:33902960 | DOI:10.1016/j.ajem.2021.04.032

Assessing the cone of economy in patients with spinal disease using only a force plate: an observational retrospective cohort study

Eur Spine J. 2021 Apr 20. doi: 10.1007/s00586-021-06836-x. Online ahead of print.

ABSTRACT

STUDY DESIGN: This is a retrospective cohort with multiple regression modeling.

OBJECTIVE: The aim is to develop a new method for estimating cone of economy (CoE) using a force plate rather than traditional motion capture.

BACKGROUND: Currently, most spinal deformity surgeons rely on static radiographic parameters for alignment, balance, and outcomes data alongside patient-reported outcome measures. The CoE, the stable region of upright posture, can be objectively measured to determine the efficiency and balance of the spine. Motion capture technology is currently used to collect data to calculate CoE, but this requires expensive and complex equipment, which is a barrier to widespread adoption and clinical use of CoE measurements. Force plates, which measure pressure, are less expensive and can be used in a clinical setting.

METHODS: Motion capture and a force plate were used to quantify the CoE of 473 subjects (423 spinal surgical candidates; 50 healthy controls; 271 females; age: 58.60 ± 15.27; height: 1.69 ± 0.13; weight: 81.07 ± 20.91), and a linear multiple regression model was used to predict CoE using force plate data in a human motion laboratory setting. Patients were required to stand erect with feet together and eyes open in their self-perceived balanced and natural position for a full minute while measures of sway and center of pressure (CoP) were recorded.

RESULTS: The CoP variable regression model successfully predicted CoE measurements. The variables that were used to predict vertical CoE were CoP coronal sway, CoP sagittal sway, and CoP total sway in several combinations. The coefficient of determination for the head total sway model indicated a 87.0% correlation (F(3,469) = 1044.14, p < 0.001). The coefficient of determination for the head sagittal sway model indicated a 69.2% correlation (F(3,469) = 351.70, p < 0.001). The coefficient of determination for the head coronal sway model indicated a 85.2% correlation (F(3,469) = 899.27, p < 0001).

CONCLUSION: Cone of economy was estimated from force plate data using center of pressure with high correlation without the use of motion capture in healthy controls and a variety of spine patients. This could lower the entry burden for measurement of the CoE in patients, enabling widespread use. This would provide surgeons objective global balance data, along with Haddas' CoE classification system, that could assist with surgical decision-making and facilitate objective monitoring surgical outcomes.

PMID:33877453 | DOI:10.1007/s00586-021-06836-x

Association between burnout and wellness culture among emergency medicine providers

Richard Robinson, MD - Mon, 04/12/2021 - 05:00

Clin Exp Emerg Med. 2021 Mar;8(1):55-64. doi: 10.15441/ceem.20.074. Epub 2021 Mar 31.

ABSTRACT

OBJECTIVE: Burnout is a common occurrence among healthcare providers and has been associated with provider wellness culture. However, this association has not been extensively studied among emergency medicine (EM) providers. We aim to determine the association between EM provider burnout and their culture of wellness, and to elicit the independent wellness culture domains most predictive of burnout prevention.

METHODS: This was a multi-center observational study. We enrolled EM physicians and advanced practice providers from sixteen different emergency departments (EDs). Provider wellness culture and burnout surveys were performed. The wellness culture domains included in this study are personal/organizational value alignment, provider appreciation, leadership quality, self-controlled scheduling, peer support, and family support. Correlations between each wellness culture domain and burnout were analyzed by Pearson correlation co-efficiency, and their associations were measured by multivariate logistic regression with adjustments of other confounders.

RESULTS: A total of 242 ED provider surveys were entered for final analysis. The overall burnout rate was 54% (130/242). Moderate correlations were found between burnout and two wellness culture domains (value alignment: r=-0.43, P<0.001 and provider appreciation: r=-0.49, P<0.001). The adjusted odds ratio of provider appreciation associated with burnout was 0.44 (95% confidence interval, 0.25-0.77; P=0.004), adjusted odds ratio of family support was 0.67 (95% confidence interval, 0.48-0.95; P=0.025).

CONCLUSION: ED providers have a relatively high burnout rate. Provider burnout might have certain associations with wellness culture domains. Provider appreciation and family support seem to play important roles in burnout protection.

PMID:33845524 | DOI:10.15441/ceem.20.074

Association between burnout and wellness culture among emergency medicine providers

James d'Etienne, MD - Mon, 04/12/2021 - 05:00

Clin Exp Emerg Med. 2021 Mar;8(1):55-64. doi: 10.15441/ceem.20.074. Epub 2021 Mar 31.

ABSTRACT

OBJECTIVE: Burnout is a common occurrence among healthcare providers and has been associated with provider wellness culture. However, this association has not been extensively studied among emergency medicine (EM) providers. We aim to determine the association between EM provider burnout and their culture of wellness, and to elicit the independent wellness culture domains most predictive of burnout prevention.

METHODS: This was a multi-center observational study. We enrolled EM physicians and advanced practice providers from sixteen different emergency departments (EDs). Provider wellness culture and burnout surveys were performed. The wellness culture domains included in this study are personal/organizational value alignment, provider appreciation, leadership quality, self-controlled scheduling, peer support, and family support. Correlations between each wellness culture domain and burnout were analyzed by Pearson correlation co-efficiency, and their associations were measured by multivariate logistic regression with adjustments of other confounders.

RESULTS: A total of 242 ED provider surveys were entered for final analysis. The overall burnout rate was 54% (130/242). Moderate correlations were found between burnout and two wellness culture domains (value alignment: r=-0.43, P<0.001 and provider appreciation: r=-0.49, P<0.001). The adjusted odds ratio of provider appreciation associated with burnout was 0.44 (95% confidence interval, 0.25-0.77; P=0.004), adjusted odds ratio of family support was 0.67 (95% confidence interval, 0.48-0.95; P=0.025).

CONCLUSION: ED providers have a relatively high burnout rate. Provider burnout might have certain associations with wellness culture domains. Provider appreciation and family support seem to play important roles in burnout protection.

PMID:33845524 | DOI:10.15441/ceem.20.074

Association between burnout and wellness culture among emergency medicine providers

Hao Wang, MD - Mon, 04/12/2021 - 05:00

Clin Exp Emerg Med. 2021 Mar;8(1):55-64. doi: 10.15441/ceem.20.074. Epub 2021 Mar 31.

ABSTRACT

OBJECTIVE: Burnout is a common occurrence among healthcare providers and has been associated with provider wellness culture. However, this association has not been extensively studied among emergency medicine (EM) providers. We aim to determine the association between EM provider burnout and their culture of wellness, and to elicit the independent wellness culture domains most predictive of burnout prevention.

METHODS: This was a multi-center observational study. We enrolled EM physicians and advanced practice providers from sixteen different emergency departments (EDs). Provider wellness culture and burnout surveys were performed. The wellness culture domains included in this study are personal/organizational value alignment, provider appreciation, leadership quality, self-controlled scheduling, peer support, and family support. Correlations between each wellness culture domain and burnout were analyzed by Pearson correlation co-efficiency, and their associations were measured by multivariate logistic regression with adjustments of other confounders.

RESULTS: A total of 242 ED provider surveys were entered for final analysis. The overall burnout rate was 54% (130/242). Moderate correlations were found between burnout and two wellness culture domains (value alignment: r=-0.43, P<0.001 and provider appreciation: r=-0.49, P<0.001). The adjusted odds ratio of provider appreciation associated with burnout was 0.44 (95% confidence interval, 0.25-0.77; P=0.004), adjusted odds ratio of family support was 0.67 (95% confidence interval, 0.48-0.95; P=0.025).

CONCLUSION: ED providers have a relatively high burnout rate. Provider burnout might have certain associations with wellness culture domains. Provider appreciation and family support seem to play important roles in burnout protection.

PMID:33845524 | DOI:10.15441/ceem.20.074

Association between burnout and wellness culture among emergency medicine providers

Clin Exp Emerg Med. 2021 Mar;8(1):55-64. doi: 10.15441/ceem.20.074. Epub 2021 Mar 31.

ABSTRACT

OBJECTIVE: Burnout is a common occurrence among healthcare providers and has been associated with provider wellness culture. However, this association has not been extensively studied among emergency medicine (EM) providers. We aim to determine the association between EM provider burnout and their culture of wellness, and to elicit the independent wellness culture domains most predictive of burnout prevention.

METHODS: This was a multi-center observational study. We enrolled EM physicians and advanced practice providers from sixteen different emergency departments (EDs). Provider wellness culture and burnout surveys were performed. The wellness culture domains included in this study are personal/organizational value alignment, provider appreciation, leadership quality, self-controlled scheduling, peer support, and family support. Correlations between each wellness culture domain and burnout were analyzed by Pearson correlation co-efficiency, and their associations were measured by multivariate logistic regression with adjustments of other confounders.

RESULTS: A total of 242 ED provider surveys were entered for final analysis. The overall burnout rate was 54% (130/242). Moderate correlations were found between burnout and two wellness culture domains (value alignment: r=-0.43, P<0.001 and provider appreciation: r=-0.49, P<0.001). The adjusted odds ratio of provider appreciation associated with burnout was 0.44 (95% confidence interval, 0.25-0.77; P=0.004), adjusted odds ratio of family support was 0.67 (95% confidence interval, 0.48-0.95; P=0.025).

CONCLUSION: ED providers have a relatively high burnout rate. Provider burnout might have certain associations with wellness culture domains. Provider appreciation and family support seem to play important roles in burnout protection.

PMID:33845524 | DOI:10.15441/ceem.20.074

Prescription Opioid Use Among a Community Sample of Older and Younger Women

J Womens Health (Larchmt). 2021 Apr 7. doi: 10.1089/jwh.2020.8610. Online ahead of print.

ABSTRACT

Background: Women bear a heavier burden of the consequences related to prescription opioid use compared to their male counterparts; however, there has been little attention in the literature regarding prescription opioid use among women. We aimed to examine risk factors for prescription opioid use among women. Methods: Demographics, health status, and substance use data, including prescription opioid use, were collected through a community engagement program, HealthStreet, during a health needs assessment. Women older than 18 years were classified by opioid use: past 30-day, lifetime, but not past 30-day, or no lifetime prescription opioid use. Descriptive statistics and chi-square tests were calculated, and multinomial logistic regression was used to calculate adjusted odds ratios (aORs; confidence interval [CI]). Results: Among 5,549 women assessed, 15% reported past 30-day use and 41% reported lifetime use of prescription opioids. While prescription sedative use was the strongest risk factor for past 30-day use among younger women (aOR = 4.84; 95% CI, 3.59-6.51), past 6-month doctor visits was the strongest risk factor for past 30-day use among older women (aOR = 4.15; 95% CI, 2.62-6.60). Conclusions: We found higher rates of prescription opioid use in this community sample of women compared to national rates. Risk factors for recent prescription opioid use (past 30-day use) differed among older and younger women. Clinicians should be more vigilant about prescribing opioids as the medical profile for women may change through age, especially the co-prescribing of opioids and sedatives.

PMID:33826866 | DOI:10.1089/jwh.2020.8610

Suicide risk and perceived burden among adult medical inpatients

Cynthia Claassen, PhD - Sat, 04/03/2021 - 05:00

Gen Hosp Psychiatry. 2021 Jan 20:S0163-8343(21)00011-6. doi: 10.1016/j.genhosppsych.2021.01.007. Online ahead of print.

NO ABSTRACT

PMID:33810884 | DOI:10.1016/j.genhosppsych.2021.01.007

Suicide risk and perceived burden among adult medical inpatients

Gen Hosp Psychiatry. 2021 Jan 20:S0163-8343(21)00011-6. doi: 10.1016/j.genhosppsych.2021.01.007. Online ahead of print.

NO ABSTRACT

PMID:33810884 | DOI:10.1016/j.genhosppsych.2021.01.007

Community Disparities in Out of Hospital Cardiac Arrest Care and Outcomes in Texas

Hao Wang, MD - Fri, 04/02/2021 - 05:00

Resuscitation. 2021 Mar 30:S0300-9572(21)00125-8. doi: 10.1016/j.resuscitation.2021.03.021. Online ahead of print.

ABSTRACT

BACKGROUND: Large racial and socioeconomic inequalities exist for out-of-hospital cardiac arrest (OHCA) care and outcomes. We sought to characterize racial, ethnic, and socioeconomic disparities in OHCA care and outcomes in Texas.

METHODS: We analyzed 2014-2018 Texas-Cardiac Arrest Registry to Enhance Survival (CARES) data. Using census tracts, we defined race/ethnicity neighborhoods based on majority race/ethnicity composition: non-Hispanic/Latino white, non-Hispanic/Latino black, and Hispanic/Latino. We also stratified neighborhoods into socioeconomic categories: above and below the median for household income, employment rate, and high school graduation. We defined outcomes as bystander CPR rates, public bystander AED use, and survival to hospital discharge. Using mixed models, we analyzed the associations between outcomes and neighborhood (1) racial/ethnic categories and (2) socioeconomic categories.

RESULTS: We included data on 18,488 OHCAs. Relative to white neighborhoods, black neighborhoods had lower rates of AED use (OR 0.3, CI 0.2-0.4), and Hispanic/Latino neighborhoods had lower rates of bystander CPR (OR 0.7, CI 0.6-0.8), AED use (OR 0.4, CI 0.3-0.6), and survival (OR 0.8, CI 0.7-0.8). Lower income was associated with a lower rates of bystander CPR (OR 0.8, CI 0.7-0.8), AED use (OR 0.5, CI 0.4-0.8), and survival (OR 0.9, CI 0.9-0.98). Lower high school graduation was associated with a lower rate of bystander CPR (OR 0.8, CI 0.7-0.9) and AED use (OR 0.6, CI 0.4-0.9). Higher unemployment was associated with lower rates of bystander CPR (OR 0.9, CI 0.8-0.94) and AED use (OR 0.7, CI 0.5-0.99).

CONCLUSION: Minority and poor neighborhoods in Texas experience large and unacceptable disparities in OHCA bystander response and outcomes.

PMID:33798624 | DOI:10.1016/j.resuscitation.2021.03.021

Community Disparities in Out of Hospital Cardiac Arrest Care and Outcomes in Texas

Veer Vithalani, MD - Fri, 04/02/2021 - 05:00

Resuscitation. 2021 Mar 30:S0300-9572(21)00125-8. doi: 10.1016/j.resuscitation.2021.03.021. Online ahead of print.

ABSTRACT

BACKGROUND: Large racial and socioeconomic inequalities exist for out-of-hospital cardiac arrest (OHCA) care and outcomes. We sought to characterize racial, ethnic, and socioeconomic disparities in OHCA care and outcomes in Texas.

METHODS: We analyzed 2014-2018 Texas-Cardiac Arrest Registry to Enhance Survival (CARES) data. Using census tracts, we defined race/ethnicity neighborhoods based on majority race/ethnicity composition: non-Hispanic/Latino white, non-Hispanic/Latino black, and Hispanic/Latino. We also stratified neighborhoods into socioeconomic categories: above and below the median for household income, employment rate, and high school graduation. We defined outcomes as bystander CPR rates, public bystander AED use, and survival to hospital discharge. Using mixed models, we analyzed the associations between outcomes and neighborhood (1) racial/ethnic categories and (2) socioeconomic categories.

RESULTS: We included data on 18,488 OHCAs. Relative to white neighborhoods, black neighborhoods had lower rates of AED use (OR 0.3, CI 0.2-0.4), and Hispanic/Latino neighborhoods had lower rates of bystander CPR (OR 0.7, CI 0.6-0.8), AED use (OR 0.4, CI 0.3-0.6), and survival (OR 0.8, CI 0.7-0.8). Lower income was associated with a lower rates of bystander CPR (OR 0.8, CI 0.7-0.8), AED use (OR 0.5, CI 0.4-0.8), and survival (OR 0.9, CI 0.9-0.98). Lower high school graduation was associated with a lower rate of bystander CPR (OR 0.8, CI 0.7-0.9) and AED use (OR 0.6, CI 0.4-0.9). Higher unemployment was associated with lower rates of bystander CPR (OR 0.9, CI 0.8-0.94) and AED use (OR 0.7, CI 0.5-0.99).

CONCLUSION: Minority and poor neighborhoods in Texas experience large and unacceptable disparities in OHCA bystander response and outcomes.

PMID:33798624 | DOI:10.1016/j.resuscitation.2021.03.021

Community Disparities in Out of Hospital Cardiac Arrest Care and Outcomes in Texas

Resuscitation. 2021 Mar 30:S0300-9572(21)00125-8. doi: 10.1016/j.resuscitation.2021.03.021. Online ahead of print.

ABSTRACT

BACKGROUND: Large racial and socioeconomic inequalities exist for out-of-hospital cardiac arrest (OHCA) care and outcomes. We sought to characterize racial, ethnic, and socioeconomic disparities in OHCA care and outcomes in Texas.

METHODS: We analyzed 2014-2018 Texas-Cardiac Arrest Registry to Enhance Survival (CARES) data. Using census tracts, we defined race/ethnicity neighborhoods based on majority race/ethnicity composition: non-Hispanic/Latino white, non-Hispanic/Latino black, and Hispanic/Latino. We also stratified neighborhoods into socioeconomic categories: above and below the median for household income, employment rate, and high school graduation. We defined outcomes as bystander CPR rates, public bystander AED use, and survival to hospital discharge. Using mixed models, we analyzed the associations between outcomes and neighborhood (1) racial/ethnic categories and (2) socioeconomic categories.

RESULTS: We included data on 18,488 OHCAs. Relative to white neighborhoods, black neighborhoods had lower rates of AED use (OR 0.3, CI 0.2-0.4), and Hispanic/Latino neighborhoods had lower rates of bystander CPR (OR 0.7, CI 0.6-0.8), AED use (OR 0.4, CI 0.3-0.6), and survival (OR 0.8, CI 0.7-0.8). Lower income was associated with a lower rates of bystander CPR (OR 0.8, CI 0.7-0.8), AED use (OR 0.5, CI 0.4-0.8), and survival (OR 0.9, CI 0.9-0.98). Lower high school graduation was associated with a lower rate of bystander CPR (OR 0.8, CI 0.7-0.9) and AED use (OR 0.6, CI 0.4-0.9). Higher unemployment was associated with lower rates of bystander CPR (OR 0.9, CI 0.8-0.94) and AED use (OR 0.7, CI 0.5-0.99).

CONCLUSION: Minority and poor neighborhoods in Texas experience large and unacceptable disparities in OHCA bystander response and outcomes.

PMID:33798624 | DOI:10.1016/j.resuscitation.2021.03.021

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