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- Acute ischemic stroke (1)
- African American (1)
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- Home blood pressure monitoring (1)
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Articles 1 - 4 of 4
Full-Text Articles in Medicine and Health Sciences
Is Home Blood Pressure Monitoring Effective At Controlling Hypertension In African American Patients? A Clin-Iq, Rebecca Nye, Wilhelm Lehmann, Deborah Simpson
Is Home Blood Pressure Monitoring Effective At Controlling Hypertension In African American Patients? A Clin-Iq, Rebecca Nye, Wilhelm Lehmann, Deborah Simpson
Journal of Patient-Centered Research and Reviews
African Americans are disproportionately affected by hypertension, a modifiable contributor to multiple chronic diseases and premature death. Primary care physicians play an important role in hypertension control. Home blood pressure monitoring (HBPM) is an evidence-based method for confirming diagnosis and monitoring hypertension over time. Some studies have found that HBPM may lead to clinically relevant reductions in blood pressure when combined with additional interventions, but few studies have focused specifically on African American populations. Evidence of effectiveness could increase clinical recommendation of HBPM. This clinical inquiry examined whether HBPM improves blood pressure control in African Americans with uncontrolled hypertension. Reviewed …
Electrocardiogram-Based Machine Learning Emulator Model For Predicting Novel Echocardiography-Derived Phenogroups For Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study, Heenaben B. Patel, Naveena Yanamala, Brijesh Patel, Sameer Raina, Peter D. Farjo, Srinidhi Sunkara, Márton Tokodi, Nobuyuki Kagiyama, Grace Casaclang-Verzosa, Partho P. Sengupta
Electrocardiogram-Based Machine Learning Emulator Model For Predicting Novel Echocardiography-Derived Phenogroups For Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study, Heenaben B. Patel, Naveena Yanamala, Brijesh Patel, Sameer Raina, Peter D. Farjo, Srinidhi Sunkara, Márton Tokodi, Nobuyuki Kagiyama, Grace Casaclang-Verzosa, Partho P. Sengupta
Journal of Patient-Centered Research and Reviews
Purpose: 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).
Methods: 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 …
Stroke Network Of Wisconsin (Snow) Scale Predicts Large Vessel Occlusion Stroke In The Prehospital Setting, Kessarin Panichpisal, Sarah Erpenbeck, Paul Vilar, Reji P. Babygirija, Maharaj Singh, M. Riccardo Colella, Richard A. Rovin
Stroke Network Of Wisconsin (Snow) Scale Predicts Large Vessel Occlusion Stroke In The Prehospital Setting, Kessarin Panichpisal, Sarah Erpenbeck, Paul Vilar, Reji P. Babygirija, Maharaj Singh, M. Riccardo Colella, Richard A. Rovin
Journal of Patient-Centered Research and Reviews
Purpose: In 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.
Methods: All 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 …
Clinical Characteristics, Risk Factors, And Outcomes Among A Large Midwestern U.S. Cohort Of Patients Hospitalized With Covid-19 Prior To Vaccine Availability, Viviana Zlochiver, Ana Cristina Perez Moreno, Michael Peterson, Khalil Odeh, Ashley Mainville, Katherine Busniewski, Jon Wrobel, Mohamed Hommeida, Blair Tilkens, Payal Sharma, Hlu Vang, Sara Walczak, Fekadesilassie Moges, Kritika Garg, A. Jamil Tajik, Suhail Q. Allaqaband, Tanvir Bajwa, M. Fuad Jan
Clinical Characteristics, Risk Factors, And Outcomes Among A Large Midwestern U.S. Cohort Of Patients Hospitalized With Covid-19 Prior To Vaccine Availability, Viviana Zlochiver, Ana Cristina Perez Moreno, Michael Peterson, Khalil Odeh, Ashley Mainville, Katherine Busniewski, Jon Wrobel, Mohamed Hommeida, Blair Tilkens, Payal Sharma, Hlu Vang, Sara Walczak, Fekadesilassie Moges, Kritika Garg, A. Jamil Tajik, Suhail Q. Allaqaband, Tanvir Bajwa, M. Fuad Jan
Journal of Patient-Centered Research and Reviews
Purpose: The 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.
Methods: This 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 …