Pub Date : 2024-10-01Epub Date: 2024-08-11DOI: 10.1016/j.mayocpiqo.2024.07.006
Stephen W. English MD, MBA , Alejandro A. Rabinstein MD , Melissa A. Lyle MD
{"title":"Donation After Circulatory Death Donor Prognostication: An Emerging Challenge in Heart Transplantation","authors":"Stephen W. English MD, MBA , Alejandro A. Rabinstein MD , Melissa A. Lyle MD","doi":"10.1016/j.mayocpiqo.2024.07.006","DOIUrl":"10.1016/j.mayocpiqo.2024.07.006","url":null,"abstract":"","PeriodicalId":94132,"journal":{"name":"Mayo Clinic proceedings. Innovations, quality & outcomes","volume":"8 5","pages":"Pages 431-434"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S254245482400047X/pdfft?md5=87e486c33d4cbaee72dac73d60727771&pid=1-s2.0-S254245482400047X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141954015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01Epub Date: 2024-09-17DOI: 10.1016/j.mayocpiqo.2024.07.008
Erica Engelberg-Cook PhD , Jaimin S. Shah MD , Andre Teixeira da Silva Hucke MS , Diana V. Vera-Garcia MD , Jany E. Dagher , Megan H. Donahue BS , Veronique V. Belzil MS, PhD , Björn Oskarsson MD
Objective
To assess the performance of known survival predictors and evaluate their stratification capability in patients with amyotrophic lateral sclerosis (ALS).
Patients and Methods
We analyzed demographic and clinical variables collected at the Mayo Clinic, Florida ALS center during the first clinical visit of 1442 (100%) patients with ALS.
Results
Our cohort had a median (interquartile range [IQR]) age at diagnosis of 64.8 (57-72) years; 1350 (92%) were non-Hispanic White; and 771 (53.5%) were male. The median (IQR) diagnostic delay was 10.1 (6-18) months, body mass index was 25.4 (23-49), and forced vital capacity was 72% (52%-87%). Approximately 12% of patients tested carried a pathologic C9orf72 hexanucleotide repeat expansion. Median (IQR) ALS functional rating scale-revised score was 35 (29-40) and ALS cognitive behavioral screen score was 15 (12-17). The median (IQR) survival after diagnosis was 17.2 (9-31) months, and survival from symptom onset was 30 (20-48) months. We found that older age decreased forced vital capacity, and fast-progressing ALS functional rating scale-revised scores significantly (P<.0001) influence survival curves and associated hazard risk.
Conclusion
Although results obtained from our cohort are consistent with other reports (eg, men with spinal onset experience a longer survival than women with bulbar onset), they remind us of the complexity of the disease’s natural history and the limited prognostic power of the most common clinical predictors.
目的评估已知生存预测指标的性能,并评价其对肌萎缩侧索硬化症(ALS)患者的分层能力。患者和方法我们分析了佛罗里达州梅奥诊所 ALS 中心在 1442 名 ALS 患者(100%)首次临床就诊时收集的人口统计学和临床变量。结果我们的队列中诊断时的中位(四分位距 [IQR])年龄为 64.8(57-72)岁;1350 人(92%)为非西班牙裔白人;771 人(53.5%)为男性。诊断延迟的中位数(IQR)为 10.1(6-18)个月,体重指数为 25.4(23-49),用力肺活量为 72%(52%-87%)。约12%的受检患者携带病理性C9orf72六核苷酸重复扩增。ALS 功能评分量表修订版得分的中位数(IQR)为 35(29-40),ALS 认知行为筛查得分的中位数(IQR)为 15(12-17)。确诊后的生存期中位数(IQR)为17.2(9-31)个月,症状出现后的生存期为30(20-48)个月。我们发现,年龄越大,受迫生命体征能力越低,快速进展的 ALS 功能评分量表修订版评分会显著影响生存曲线和相关危险风险(P< .0001)。
{"title":"Prognostic Factors and Epidemiology of Amyotrophic Lateral Sclerosis in Southeastern United States","authors":"Erica Engelberg-Cook PhD , Jaimin S. Shah MD , Andre Teixeira da Silva Hucke MS , Diana V. Vera-Garcia MD , Jany E. Dagher , Megan H. Donahue BS , Veronique V. Belzil MS, PhD , Björn Oskarsson MD","doi":"10.1016/j.mayocpiqo.2024.07.008","DOIUrl":"10.1016/j.mayocpiqo.2024.07.008","url":null,"abstract":"<div><h3>Objective</h3><p>To assess the performance of known survival predictors and evaluate their stratification capability in patients with amyotrophic lateral sclerosis (ALS).</p></div><div><h3>Patients and Methods</h3><p>We analyzed demographic and clinical variables collected at the Mayo Clinic, Florida ALS center during the first clinical visit of 1442 (100%) patients with ALS.</p></div><div><h3>Results</h3><p>Our cohort had a median (interquartile range [IQR]) age at diagnosis of 64.8 (57-72) years; 1350 (92%) were non-Hispanic White; and 771 (53.5%) were male. The median (IQR) diagnostic delay was 10.1 (6-18) months, body mass index was 25.4 (23-49), and forced vital capacity was 72% (52%-87%). Approximately 12% of patients tested carried a pathologic <em>C9orf72</em> hexanucleotide repeat expansion. Median (IQR) ALS functional rating scale-revised score was 35 (29-40) and ALS cognitive behavioral screen score was 15 (12-17). The median (IQR) survival after diagnosis was 17.2 (9-31) months, and survival from symptom onset was 30 (20-48) months. We found that older age decreased forced vital capacity, and fast-progressing ALS functional rating scale-revised scores significantly (<em>P</em><.0001) influence survival curves and associated hazard risk.</p></div><div><h3>Conclusion</h3><p>Although results obtained from our cohort are consistent with other reports (eg, men with spinal onset experience a longer survival than women with bulbar onset), they remind us of the complexity of the disease’s natural history and the limited prognostic power of the most common clinical predictors.</p></div>","PeriodicalId":94132,"journal":{"name":"Mayo Clinic proceedings. Innovations, quality & outcomes","volume":"8 5","pages":"Pages 482-492"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2542454824000523/pdfft?md5=a5e3c1695eb2a43f63cf5c69f1afb112&pid=1-s2.0-S2542454824000523-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01Epub Date: 2024-08-24DOI: 10.1016/j.mayocpiqo.2024.07.003
Beth Frates MD, FACLM, DipABLM , Hugo A. Ortega MD, MSEd, DipABLM , Kelly J. Freeman MSN, AGPCNP-BC, DipACLM , John Patrick T. Co MD, MPH, MBA , Melissa Bernstein PhD, RDN, LD, FAND, DipACLM
The relationship between lifestyle behaviors and common chronic conditions is well established. Lifestyle medicine (LM) interventions to modify health behaviors can dramatically improve the health of individuals and populations. There is an urgent need to meaningfully integrate LM into medical curricula horizontally across the medical domains and vertically in each year of school and training. Including LM content in medical and health professional curricula and training programs has been challenging. Barriers to LM integration include lack of awareness and prioritization of LM, limited time in the curricula, and too few LM-trained faculty to teach and role model the practice of LM. This limits the ability of health care professionals to provide effective LM and precludes the wide-reaching benefits of LM from being fully realized. Early innovators developed novel tools and resources aligned with current evidence for introducing LM into didactic and experiential learning. This review aimed to examine the educational efforts in each LM pillar for undergraduate and graduate medical education. A PubMed-based literature review was undertaken using the following search terms: lifestyle medicine, education, medical school, residency, and healthcare professionals. We map the LM competencies to the core competency domains of the Accreditation Council for Graduate Medical Education. We highlight opportunities to train faculty, residents, and students. Moreover, we identify available evidence-based resources. This article serves as a “call to action” to incorporate LM across the spectrum of medical education curricula and training.
{"title":"Lifestyle Medicine in Medical Education: Maximizing Impact","authors":"Beth Frates MD, FACLM, DipABLM , Hugo A. Ortega MD, MSEd, DipABLM , Kelly J. Freeman MSN, AGPCNP-BC, DipACLM , John Patrick T. Co MD, MPH, MBA , Melissa Bernstein PhD, RDN, LD, FAND, DipACLM","doi":"10.1016/j.mayocpiqo.2024.07.003","DOIUrl":"10.1016/j.mayocpiqo.2024.07.003","url":null,"abstract":"<div><p>The relationship between lifestyle behaviors and common chronic conditions is well established. Lifestyle medicine (LM) interventions to modify health behaviors can dramatically improve the health of individuals and populations. There is an urgent need to meaningfully integrate LM into medical curricula horizontally across the medical domains and vertically in each year of school and training. Including LM content in medical and health professional curricula and training programs has been challenging. Barriers to LM integration include lack of awareness and prioritization of LM, limited time in the curricula, and too few LM-trained faculty to teach and role model the practice of LM. This limits the ability of health care professionals to provide effective LM and precludes the wide-reaching benefits of LM from being fully realized. Early innovators developed novel tools and resources aligned with current evidence for introducing LM into didactic and experiential learning. This review aimed to examine the educational efforts in each LM pillar for undergraduate and graduate medical education. A PubMed-based literature review was undertaken using the following search terms: <em>lifestyle medicine, education, medical school, residency, and healthcare professionals</em>. We map the LM competencies to the core competency domains of the Accreditation Council for Graduate Medical Education. We highlight opportunities to train faculty, residents, and students. Moreover, we identify available evidence-based resources. This article serves as a “call to action” to incorporate LM across the spectrum of medical education curricula and training.</p></div>","PeriodicalId":94132,"journal":{"name":"Mayo Clinic proceedings. Innovations, quality & outcomes","volume":"8 5","pages":"Pages 451-474"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2542454824000444/pdfft?md5=1a959f156528bc6f7c327b8f469a212c&pid=1-s2.0-S2542454824000444-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142050041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01Epub Date: 2024-08-21DOI: 10.1016/j.mayocpiqo.2024.07.002
Gregory A. Nuttall MD , Michael P. Merren MD, MS , Julian Naranjo DO , Erica R. Portner RRT, LRT , Amanda R. Ambrose MD , Charanjit S. Rihal MD
Objective
To evaluate whether major adverse cardiac events (MACE) continue to be a major causative factor for mortality after noncardiac surgery.
Patients and Methods
We performed retrospective study of 75,410 adult noncardiac surgery patients at Mayo Clinic Rochester, between January 1, 2016, and May 4, 2018. Electronic medical records were reviewed and data collected on all deaths within 30 days (n=692 patients) of surgery. The incidence of death due to MACE was calculated.
Results
Postoperative MACE occurred in 150 patients (21.4 events per 10,000 patients; 95% CI, 18.2-25.2 events per 10,000 patients) with most occurring within 3 days of surgery (n=113). Postoperative MACE events were associated with atrial fibrillation with rapid rate response in 25 patients (16.7%), sepsis in 15 patients (10%), and bleeding in 15 patients (10%). There were 12 intraoperative deaths of which 9 were due to exsanguination (75%) and the remaining 3 (25%) due to cardiac arrest. Of the 56 deaths on the first 24 hours after surgery, 7 were due to hemorrhage, 17 due to cardiovascular causes, 20 due to sepsis, and 7 due to neurologic disease. The leading cause of total death over 30 days postoperatively was sepsis (28%), followed by malignancy (27%), cardiovascular disease (12%) neurologic disease (12%), and hemorrhage (5%).
Conclusion
MACE was not the leading cause of death both intraoperatively and postoperatively.
{"title":"Perioperative Mortality: A Retrospective Cohort Study of 75,446 Noncardiac Surgery Patients","authors":"Gregory A. Nuttall MD , Michael P. Merren MD, MS , Julian Naranjo DO , Erica R. Portner RRT, LRT , Amanda R. Ambrose MD , Charanjit S. Rihal MD","doi":"10.1016/j.mayocpiqo.2024.07.002","DOIUrl":"10.1016/j.mayocpiqo.2024.07.002","url":null,"abstract":"<div><h3>Objective</h3><p>To evaluate whether major adverse cardiac events (MACE) continue to be a major causative factor for mortality after noncardiac surgery.</p></div><div><h3>Patients and Methods</h3><p>We performed retrospective study of 75,410 adult noncardiac surgery patients at Mayo Clinic Rochester, between January 1, 2016, and May 4, 2018. Electronic medical records were reviewed and data collected on all deaths within 30 days (n=692 patients) of surgery. The incidence of death due to MACE was calculated.</p></div><div><h3>Results</h3><p>Postoperative MACE occurred in 150 patients (21.4 events per 10,000 patients; 95% CI, 18.2-25.2 events per 10,000 patients) with most occurring within 3 days of surgery (n=113). Postoperative MACE events were associated with atrial fibrillation with rapid rate response in 25 patients (16.7%), sepsis in 15 patients (10%), and bleeding in 15 patients (10%). There were 12 intraoperative deaths of which 9 were due to exsanguination (75%) and the remaining 3 (25%) due to cardiac arrest. Of the 56 deaths on the first 24 hours after surgery, 7 were due to hemorrhage, 17 due to cardiovascular causes, 20 due to sepsis, and 7 due to neurologic disease. The leading cause of total death over 30 days postoperatively was sepsis (28%), followed by malignancy (27%), cardiovascular disease (12%) neurologic disease (12%), and hemorrhage (5%).</p></div><div><h3>Conclusion</h3><p>MACE was not the leading cause of death both intraoperatively and postoperatively.</p></div>","PeriodicalId":94132,"journal":{"name":"Mayo Clinic proceedings. Innovations, quality & outcomes","volume":"8 5","pages":"Pages 435-442"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2542454824000432/pdfft?md5=0098ca40105e5ac2d80dc6de8fa7b7d2&pid=1-s2.0-S2542454824000432-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142040887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01Epub Date: 2024-08-22DOI: 10.1016/j.mayocpiqo.2024.07.007
Elizabeth J. Cathcart-Rake MD , Amye Tevaarwerk MD , Aminah Jatoi MD , Evelyn F. Carroll MD , NFN Scout MA, PhD , Victor G. Chedid MD, MS , Cesar A. Gonzalez PhD , Kelli Fee-Schroeder DNP, RN, OCN , Jewel M. Kling MD, MPH , Chrisandra L. Shufelt MD, MS , Jennifer L. Ridgeway PhD , Caroline Davidge-Pitts MBBCh
Transgender and gender diverse (TGD) people experience disparities in cancer care, including more late-stage diagnoses, worse cancer-related outcomes, and an increased number of unaddressed and more severe symptoms related to cancer and cancer-directed therapy. This article outlines plans to address the unique needs of TGD people through a TGD-focused oncology clinic. Such a clinic could be structured by upholding the following tenets: (1) champion a supportive, gender-affirming environment that seeks to continuously improve, (2) include a transdisciplinary team of specialists who are dedicated to TGD cancer care, and (3) initiate and embrace TGD-patient-centric research on health outcomes and health care delivery.
{"title":"Building a Cancer Care Clinic for Transgender and Gender Diverse Individuals","authors":"Elizabeth J. Cathcart-Rake MD , Amye Tevaarwerk MD , Aminah Jatoi MD , Evelyn F. Carroll MD , NFN Scout MA, PhD , Victor G. Chedid MD, MS , Cesar A. Gonzalez PhD , Kelli Fee-Schroeder DNP, RN, OCN , Jewel M. Kling MD, MPH , Chrisandra L. Shufelt MD, MS , Jennifer L. Ridgeway PhD , Caroline Davidge-Pitts MBBCh","doi":"10.1016/j.mayocpiqo.2024.07.007","DOIUrl":"10.1016/j.mayocpiqo.2024.07.007","url":null,"abstract":"<div><p>Transgender and gender diverse (TGD) people experience disparities in cancer care, including more late-stage diagnoses, worse cancer-related outcomes, and an increased number of unaddressed and more severe symptoms related to cancer and cancer-directed therapy. This article outlines plans to address the unique needs of TGD people through a TGD-focused oncology clinic. Such a clinic could be structured by upholding the following tenets: (1) champion a supportive, gender-affirming environment that seeks to continuously improve, (2) include a transdisciplinary team of specialists who are dedicated to TGD cancer care, and (3) initiate and embrace TGD-patient-centric research on health outcomes and health care delivery.</p></div>","PeriodicalId":94132,"journal":{"name":"Mayo Clinic proceedings. Innovations, quality & outcomes","volume":"8 5","pages":"Pages 443-450"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2542454824000481/pdfft?md5=7e3b48bbfa7e691ca0319b97234056da&pid=1-s2.0-S2542454824000481-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142040888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}