Journal of Patient-Centered Research and Reviews最新文献

{"title":"Vitamin D Level Testing in an Urban Midwest Clinic: To Test or Not to Test?","authors":"D. Mundt, Marianne Klumph, K. Heslin, Wajih Askar","doi":"10.17294/2330-0698.1854","DOIUrl":"https://doi.org/10.17294/2330-0698.1854","url":null,"abstract":"Vitamin D deficiency (VDD) is significantly higher among urban populations in the U.S. Midwest, with African Americans being disproportionately affected. There is ongoing debate surrounding who and how often individuals should be screened for VDD. This study aimed to understand the prevalence of VDD, associated risk factors, and discrepancies in testing at an urban-based internal medicine residency clinic. Data were retrospectively collected on all adult patients seen by the clinic during 2018 and descriptive statistical analysis performed. Among 3976 total patients (mean age: 53 years), 18% (n=698) had vitamin D levels analyzed, with deficiency found in 71% of those tested. Mean age of the tested cohort was 59 years, and women (68%) and African Americans (72%) were found more likely to be tested. Women and patients with certain medical conditions were more likely to be tested (P<0.02 for all) but were not more likely to have VDD. Individuals with a diagnosis of chronic kidney disease were less likely to have VDD (P=0.002). Vitamin D levels typically showed improvement after retesting. A low testing rate could contribute to missed diagnoses. Overall, this study revealed that differences in rate of testing do not necessarily correlate to patients' demographical risk of VDD. Clinicians may benefit from a standardized vitamin D testing protocol.","PeriodicalId":16724,"journal":{"name":"Journal of Patient-Centered Research and Reviews","volume":"9 2 1","pages":"122-127"},"PeriodicalIF":1.7,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47837827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Characteristics, Risk Factors, and Outcomes Among a Large Midwestern U.S. Cohort of Patients Hospitalized With COVID-19 Prior to Vaccine Availability.","authors":"V. Zlochiver, A. P. Perez Moreno, Michael Joseph Peterson, Khalil Odeh, Ashley Mainville, Katherine Busniewski, Jon Wrobel, Mohamed Hommeida, Blair L. Tilkens, P. Sharma, Hluechy X. Vang, Sara Walczak, Fekadesilassie Moges, Kritika Garg, A. J. Tajik, S. Allaqaband, T. Bajwa, M. Jan","doi":"10.17294/2330-0698.1889","DOIUrl":"https://doi.org/10.17294/2330-0698.1889","url":null,"abstract":"Purpose\u0000The COVID-19 pandemic posed unprecedented demands on health care. This study aimed to characterize COVID-19 inpatients and examine trends and risk factors associated with hospitalization duration, intensive care unit (ICU) admission, and in-hospital mortality.\u0000\u0000\u0000Methods\u0000This retrospective study analyzed patients with SARS-CoV-2 infection hospitalized at an integrated health system between February 2, 2020, and December 12, 2020. Patient characteristics and clinical outcomes were obtained from medical records. Backward stepwise logistic regression analyses were used to identify independent risk factors of ICU admission and in-hospital mortality. Cox proportional hazards models were used to evaluate relationships between ICU admission and in-hospital mortality.\u0000\u0000\u0000Results\u0000Overall, 9647 patients were analyzed. Mean age was 64.6 ± 18 years. A linear decrease was observed for hospitalization duration (0.13 days/week, R2=0.71; P<0.0001), ICU admissions (0.35%/week, R2=0.44; P<0.001), and hospital mortality (0.16%/week, R2=0.31; P<0.01). Bacterial co-infections, male sex, history of chronic lung and heart disease, diabetes, and Hispanic ethnicity were identified as independent predictors of ICU admission (P<0.001). ICU admission and age of ≥65 years were the strongest independent risk factors associated with in-hospital mortality (P<0.001). The in-hospital mortality rate was 8.3% (27.4% in ICU patients, 2.6% in non-ICU patients; P<0.001).\u0000\u0000\u0000Conclusions\u0000Results indicate that, over the pandemic's first 10 months, COVID-19 carried a heavy burden of morbidity and mortality in older patients (>65 years), males, Hispanics, and those with bacterial co-infections and chronic comorbidities. Although disease severity has steadily declined following administration of COVID-19 vaccines along with improved understanding of effective COVID-19 interventions, these study findings reflect a \"natural history\" for this novel infectious disease in the U.S. Midwest.","PeriodicalId":16724,"journal":{"name":"Journal of Patient-Centered Research and Reviews","volume":"9 2 1","pages":"132-141"},"PeriodicalIF":1.7,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41444672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of Natural Waterways and Legionella pneumophila Infection in Eastern Wisconsin: A Case-Control Study.","authors":"H. William, K. Heslin, J. Kram, Caroline P Toberna, D. Baumgardner","doi":"10.17294/2330-0698.1872","DOIUrl":"https://doi.org/10.17294/2330-0698.1872","url":null,"abstract":"Preliminary research has suggested possible associations between natural waterways and Legionella infection, and we previously explored these associations in eastern Wisconsin using positive L. pneumophila serogroup 1 urine antigen tests (LUAT) as diagnostic. This case-control study was a secondary analysis of home address data from patients who underwent LUAT at a single eastern Wisconsin health system from 2013 to 2017. Only zip codes within the health system's catchment area that registered ≥3 positive cases and ≥50 completed tests, as well as geographically adjacent zip codes with ≥2 positive cases and ≥50 tests, were included. A 1:3 ratio of cases to randomly selected controls was used. Home addresses were geocoded and mapped using ArcGIS software (Esri); nearest waterway and distance to home was identified. Distance to nearest waterway according to ArcGIS was verified/corrected using Google Maps incognito. Distances were analyzed using chi-squared and 2-sample t-tests. Overall, mean distance to nearest waterway did not differ between cases (2958 ± 2049 ft) and controls (2856 ± 2018 ft; P=0.701). However, in a subset of nonurban zip codes, cases were closer to nearest waterway than controls (1165 ± 905 ft vs 2113 ± 1710 ft; P=0.019). No association was found between cases and type of waterway. Further research is needed to investigate associations and differences between natural and built environmental water sources in relation to legionellosis.","PeriodicalId":16724,"journal":{"name":"Journal of Patient-Centered Research and Reviews","volume":"9 2 1","pages":"128-131"},"PeriodicalIF":1.7,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44007291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations Between Residential Greenspace, Socioeconomic Status, and Stroke: A Matched Case-Control Study.","authors":"Heloise Cheruvalath, J. Homa, Maharaj Singh, Paul Vilar, A. Kassam, R. Rovin","doi":"10.17294/2330-0698.1886","DOIUrl":"https://doi.org/10.17294/2330-0698.1886","url":null,"abstract":"Purpose\u0000Studies have shown increased residential greenspace is associated with improved outcome following stroke. This study sought to determine if residential greenspace is an independent stroke risk factor.\u0000\u0000\u0000Methods\u0000A retrospective 1:4 matched case-control study involving 1174 stroke and 4696 control patients over a 3-year period from Milwaukee County, Wisconsin, was conducted. Greenspace was determined using normalized difference vegetation index (NDVI) for a 250-meter radius surrounding a subject's residence. The area deprivation index (ADI) for the census block tract of a subject's residence was obtained from the Neighborhood Atlas® (University of Wisconsin School of Medicine and Public Health). Relationship between greenspace, ADI, and stroke was determined using conditional logistic regression. Relationships among NDVI, state and national ADI, and proximity to public parks were determined using Spearman's rank-order correlation.\u0000\u0000\u0000Results\u0000NDVI and stroke risk were inversely correlated (odds ratio [OR]: 0.33, 95% CI: 0.111-0.975; P=0.045), with 19% lowered odds of stroke for patients living in the highest greenspace quartile compared to the lowest quartile (OR: 0.81, 95% CI: 0.672-0.984; P=0.045). Patients living in the most deprived ADI quartile had 28% greater stroke risk than those living in the least deprived ADI quartile (OR: 1.28, 95% CI: 1.02-1.6; P=0.029). Non-Hispanic Black patients lived in residential areas with lower greenspace (P<0.001) and neighborhoods of greater state and national ADI (P<0.001 for both) than non-Hispanic White patients.\u0000\u0000\u0000Conclusions\u0000In Milwaukee County, living with greater surrounding greenspace or areas of lower deprivation is associated with lower odds of stroke. NDVI represents an independent risk factor for stroke, not simply a proxy for socioeconomic status.","PeriodicalId":16724,"journal":{"name":"Journal of Patient-Centered Research and Reviews","volume":"9 2 1","pages":"89-97"},"PeriodicalIF":1.7,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47980145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sitting.","authors":"J. Brill","doi":"10.17294/2330-0698.1940","DOIUrl":"https://doi.org/10.17294/2330-0698.1940","url":null,"abstract":"During a local COVID-19 surge in late 2021, salaried health system leaders were asked to volunteer for nonclinical hospital shifts to help alleviate staffing shortages. The author, a family physician by training now working largely in a population health administrative role, signed up to serve as a patient sitter. This story explores how taking on the vantage point of a sitter enabled the author to reflect on the premise of watching and being watched, the diverse team that keeps an emergency department running, and how human connection may even contribute to normalizing heart rate. (Note: Pseudonyms are used in place of actual names and some details withheld to protect the privacy of the individuals involved.).","PeriodicalId":16724,"journal":{"name":"Journal of Patient-Centered Research and Reviews","volume":"9 2 1","pages":"142-143"},"PeriodicalIF":1.7,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43854482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Responding to Sexual Abuse in Health Care: Development of a Guide for Patients.","authors":"Tristan J. McIntosh, Heidi A Walsh, Meredith V. Parsons, Erin D. Solomon, J. Mozersky, J. DuBois","doi":"10.17294/2330-0698.1881","DOIUrl":"https://doi.org/10.17294/2330-0698.1881","url":null,"abstract":"This report details the development of a stakeholder- and evidence-informed online resource guide for patients that provides information to raise awareness about sexual abuse in health care, the value of chaperones, and options for responding to sexual abuse. The guide was developed to reflect lessons learned from 10 years of researching physician wrongdoing (ie, sexual violations, improper prescribing, and unnecessary invasive procedures), a 5-year National Institutes of Health-funded mixed-methods study of 280 cases of egregious wrongdoing in medicine, and an expert working group. Focus groups were conducted with 22 patients from diverse backgrounds to obtain feedback on the acceptability of the guide. Thematic analysis of the focus groups yielded 6 key themes: 1) empowering patients, 2) recognizing and responding to sexual abuse, 3) educating patients about reporting options, 4) educating patients on availability of chaperones, 5) balancing trust and mistrust, and 6) using simple language. Qualitative data from the focus groups (ie, audio files and detailed notes taken by the research team) suggested that the guide effectively informed and empowered patients to recognize and effectively respond to sexual misconduct in health care. The guide is publicly available and has been disseminated nationally to patient health advocates and public health agencies.","PeriodicalId":16724,"journal":{"name":"Journal of Patient-Centered Research and Reviews","volume":"9 2 1","pages":"117-121"},"PeriodicalIF":1.7,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44415975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrocardiogram-Based Machine Learning Emulator Model for Predicting Novel Echocardiography-Derived Phenogroups for Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study.","authors":"Heenaben B Patel, Naveena Yanamala, Brijesh Patel, Sameer Raina, Peter D Farjo, Srinidhi Sunkara, Márton Tokodi, Nobuyuki Kagiyama, Grace Casaclang-Verzosa, Partho P Sengupta","doi":"10.17294/2330-0698.1893","DOIUrl":"10.17294/2330-0698.1893","url":null,"abstract":"<p><strong>Purpose: </strong>Electrocardiography (ECG)-derived machine learning models can predict echocardiography (echo)-derived indices of systolic or diastolic function. However, systolic and diastolic dysfunction frequently coexists, which necessitates an integrated assessment for optimal risk-stratification. We explored an ECG-derived model that emulates an echo-derived model that combines multiple parameters for identifying patient phenogroups at risk for major adverse cardiac events (MACE).</p><p><strong>Methods: </strong>In this substudy of a prospective, multicenter study, patients from 3 institutions (n=727) formed an internal cohort, and the fourth institution was reserved as an external test set (n=518). A previously validated patient similarity analysis model was used for labeling the patients as low-/high-risk phenogroups. These labels were utilized for training an ECG-derived deep neural network model to predict MACE risk per phenogroup. After 5-fold cross-validation training, the model was tested on the reserved external dataset.</p><p><strong>Results: </strong>Our ECG-derived model showed robust classification of patients, with area under the receiver operating characteristic curve of 0.86 (95% CI: 0.79-0.91) and 0.84 (95% CI: 0.80-0.87), sensitivity of 80% and 76%, and specificity of 88% and 75% for the internal and external test sets, respectively. The ECG-derived model demonstrated an increased probability for MACE in high-risk vs low-risk patients (21% vs 3%; P<0.001), which was similar to the echo-trained model (21% vs 5%; P<0.001), suggesting comparable utility.</p><p><strong>Conclusions: </strong>This novel ECG-derived machine learning model provides a cost-effective strategy for predicting patient subgroups in whom an integrated milieu of systolic and diastolic dysfunction is associated with a high risk of MACE.</p>","PeriodicalId":16724,"journal":{"name":"Journal of Patient-Centered Research and Reviews","volume":"9 2 1","pages":"98-107"},"PeriodicalIF":1.6,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022713/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45437734","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}

{"title":"Stroke Network of Wisconsin (SNOW) Scale Predicts Large Vessel Occlusion Stroke in the Prehospital Setting.","authors":"K. Panichpisal, Sarah Erpenbeck, Paul Vilar, R. Babygirija, Maharaj Singh, M. Colella, R. Rovin","doi":"10.17294/2330-0698.1892","DOIUrl":"https://doi.org/10.17294/2330-0698.1892","url":null,"abstract":"Purpose\u0000In previous trials, the Stroke Network of Wisconsin (SNOW) scale accurately predicted large vessel occlusion (LVO) stroke in the hospital setting. This study evaluated SNOW scale performance in the prehospital setting and its ability to predict LVO or distal medium vessel occlusion (DMVO) in patients suspected of having acute ischemic stroke (AIS), a scenario in which transport time to an endovascular treatment-capable facility (ECSC) is critical.\u0000\u0000\u0000Methods\u0000All potential AIS patients with last-known-well time of ≤24 hours were assessed by Milwaukee County Emergency Medical Services for LVO using SNOW. Patients with a positive SNOW score were transferred to the nearest ECSC. One such facility, Aurora St. Luke's Medical Center (ASLMC), was the source of all patient data analyzed in this study. LVO was defined as occlusion of the intracranial carotid artery, middle cerebral artery (M1) segment, or basilar artery.\u0000\u0000\u0000Results\u0000From March 2018 to February 2019, 345 AIS-suspected patients were transported to ASLMC; 19 patients were excluded because no vascular imaging was performed. Of 326 patients, 32 had confirmed LVO and 21 DMVO. For identifying LVO, SNOW scale sensitivity was 0.88, specificity 0.40, positive predictive value (PPV) 0.14, negative predictive value (NPV) 0.97, and area under the curve (AUC) 0.64. Ability to predict DMVO was similar. Overall, the SNOW scale showed sensitivity of 0.83, specificity of 0.39, PPV of 0.10, NPV of 0.97, and AUC of 0.60 in identifying candidates for endovascular thrombectomy.\u0000\u0000\u0000Conclusions\u0000In a prehospital setting, the SNOW scale has high sensitivity in identifying candidates for endovascular thrombectomy and proved highly reliable in ruling out stroke due to LVO.","PeriodicalId":16724,"journal":{"name":"Journal of Patient-Centered Research and Reviews","volume":"9 2 1","pages":"108-116"},"PeriodicalIF":1.7,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46876173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient Satisfaction With Care Is Associated With Better Outcomes in Function and Pain 1 Year After Lumbar Spine Surgery.","authors":"Björn Knutsson,&nbsp;Bakir Kadum,&nbsp;Ted Eneqvist,&nbsp;Sebastian Mukka,&nbsp;Arkan S Sayed-Noor","doi":"10.17294/2330-0698.1883","DOIUrl":"https://doi.org/10.17294/2330-0698.1883","url":null,"abstract":"<p><strong>Purpose: </strong>There has been increasing interest in patient-reported experience measures (PREMs) to evaluate the patient experience and satisfaction with care. We conducted a prospective multicenter cohort study to determine any association between patients' satisfaction of care and their outcomes 1 year after lumbar spine surgery.</p><p><strong>Methods: </strong>Satisfaction with care was recorded through telephone interviews and a standardized questionnaire. Baseline data collection (300 patients) and 1-year follow-up (209 patients) were conducted through The Swedish National Register for Spine Surgery (Swespine). Exposures were patient experiences, health care professional (HCP) attitudes, shared decision-making, and overall satisfaction with care. Associations were evaluated using adjusted analysis of covariance (ANCOVA) models.</p><p><strong>Results: </strong>Satisfaction with HCP attitudes was not associated with improvements at 1 year in Oswestry Disability Index (ODI) or back pain; however a significantly greater improvement in leg pain score was reported by patients who were highly satisfied (3.0 points) versus the moderate/low satisfaction group (1.3 points; P=0.008). For shared decision-making, high satisfaction was associated with significantly greater improvements, as compared to moderate/low satisfaction, in ODI (20 vs 11 points; P=0.001), back pain (2.6 vs 1.7 points; P=0.05), and leg pain (3.2 vs 1.9 points, P=0.007). Similarly, high overall satisfaction with care was associated with significantly greater improvements in ODI (18 vs 10 points; P=0.02), back pain (3.2 vs 0.6 points; P<0.001), and leg pain (2.6 vs 1.1 points; P=0.009).</p><p><strong>Conclusions: </strong>Findings indicate that shared decision-making on perioperative care and patients' overall satisfaction with care were associated with better health outcomes 1 year after lumbar spine surgery.</p>","PeriodicalId":16724,"journal":{"name":"Journal of Patient-Centered Research and Reviews","volume":"9 1","pages":"7-14"},"PeriodicalIF":1.7,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772612/pdf/jpcrr-9.1.7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39882634","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}

{"title":"Differences in Health-Related Outcomes and Health Care Resource Utilization in Breast Cancer Survivors With and Without Type 2 Diabetes.","authors":"Susan Storey,&nbsp;Zuoyi Zhang,&nbsp;Xiao Luo,&nbsp;Megan Metzger,&nbsp;Amrutha Ravali Jakka,&nbsp;Kun Huang,&nbsp;Diane Von Ah","doi":"10.17294/2330-0698.1862","DOIUrl":"https://doi.org/10.17294/2330-0698.1862","url":null,"abstract":"<p><strong>Purpose: </strong>Up to 74% of breast cancer survivors (BCS) have at least one preexisting comorbid condition, with diabetes (type 2) common. The purpose of this study was to examine differences in health-related outcomes (anemia, neutropenia, and infection) and utilization of health care resources (inpatient, outpatient, and emergency visits) in BCS with and without diabetes.</p><p><strong>Methods: </strong>In this retrospective cohort study, data were leveraged from the electronic health records of a large health network linked to the Indiana State Cancer Registry. BCS diagnosed between January 2007 and December 2017 and who had received chemotherapy were included. Multivariable logistic regression and generalized linear models were used to determine differences in health outcomes and health care resources.</p><p><strong>Results: </strong>The cohort included 6851 BCS, of whom 1121 (16%) had a diagnosis of diabetes. BCS were, on average, 55 (standard deviation: 11.88) years old, the majority self-reported race as White (90%), and 48.8% had stage II breast cancer. BCS with diabetes were significantly older (mean age of 60.6 [SD: 10.34] years) than those without diabetes and were often obese (66% had body mass index of ≥33). BCS with diabetes had higher odds of anemia (odds ratio: 1.43; 95% CI: 1.04, 1.96) and infection (odds ratio: 1.86; 95% CI: 1.35, 2.55) and utilized more outpatient resources (P<0.0001).</p><p><strong>Conclusions: </strong>Diabetes has a deleterious effect on health-related outcomes and health care resource utilization among BCS. These findings support the need for clinical practice guidelines to help clinicians manage diabetes among BCS throughout the cancer trajectory and for coordinated models of care to reduce high resource utilization.</p>","PeriodicalId":16724,"journal":{"name":"Journal of Patient-Centered Research and Reviews","volume":"9 1","pages":"15-23"},"PeriodicalIF":1.7,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772606/pdf/jpcrr-9.1.15.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39882635","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}