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- Hypertension (3)
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Articles 1 - 7 of 7
Full-Text Articles in Medicine and Health Sciences
A Case Of Occlusive Myocardial Infarction Caused By Nephrotic Syndrome In A 26-Year-Old Type 1 Diabetic, Kyle Admire, Charlotta Jornlid, Chelsea Ryan, Rebecca Pauly
A Case Of Occlusive Myocardial Infarction Caused By Nephrotic Syndrome In A 26-Year-Old Type 1 Diabetic, Kyle Admire, Charlotta Jornlid, Chelsea Ryan, Rebecca Pauly
Marshall Journal of Medicine
Nephrotic syndrome is a rare condition distinguished by proteinuria exceeding 3g per day. Other associated characteristics include hematuria, hypoalbuminemia, edema, and hyperlipidemia. There is an array of complications of this syndrome, which are primarily due to the profound losses of protein in the urine. One such complication is thromboembolism, with most documented cases in the form of venous thromboembolism of the extremities which is in part due to urinary loss of antithrombin III and increased synthesis of prothrombotic factors. There are limited available data regarding arterial thrombi and especially few reports about coronary thromboses, which can be life-threatening. In this …
Management Of Asymptomatic Hypertension In The Inpatient Setting., Charles Meadows, Mehiar Elhamdani, Dial Larry, Murad Kheetan, Khaled Al-Baqain
Management Of Asymptomatic Hypertension In The Inpatient Setting., Charles Meadows, Mehiar Elhamdani, Dial Larry, Murad Kheetan, Khaled Al-Baqain
Marshall Journal of Medicine
Hypertension is common in hospitalized patients and is most often asymptomatic. While there are no guidelines for management of such patients, aggressive blood pressure treatment, including the use of intravenous antihypertensives, is often undertaken. While evidence of benefit is lacking, emerging data suggest that treatment of asymptomatic hypertension in the inpatient setting is associated with adverse outcomes, including acute kidney injury and ischemic stroke. In addition, the intensification of a preexisting antihypertensive regimen at hospital discharge significantly increases the risk of readmission without significant improvement in outpatient hypertension control. Such a combination of a common problem with the demonstrable benefit …
Predicting Adverse Outcomes In End Stage Renal Disease: Machine Learning Applied To The United States Renal Data System, Zeid Khitan, Alexis D. Jacob, Courtney Balentine, Adam N. Jacob, Juan R. Sanabria, Joseph I. Shapiro
Predicting Adverse Outcomes In End Stage Renal Disease: Machine Learning Applied To The United States Renal Data System, Zeid Khitan, Alexis D. Jacob, Courtney Balentine, Adam N. Jacob, Juan R. Sanabria, Joseph I. Shapiro
Marshall Journal of Medicine
We examined machine learning methods to predict death within six months using data derived from the United States Renal Data System (USRDS). We specifically evaluated a generalized linear model, a support vector machine, a decision tree and a random forest evaluated within the context of K-10 fold validation using the CARET package available within the open source architecture R program. We compared these models with the feed forward neural network strategy that we previously reported on with this data set.
Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro
Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro
Marshall Journal of Medicine
Background: Understanding factors which predict progression of renal failure is of great interest to clinicians.
Objectives: We examined machine learning methods to predict the composite outcome of death, dialysis or doubling of serum creatinine using the modification of diet in renal disease (MDRD) data set.
Methods: We specifically evaluated a generalized linear model, a support vector machine, a decision tree, a feed-forward neural network and a random forest evaluated within the context of 10 fold validation using the CARET package available within the open source architecture R program.
Results: We found that using clinical parameters available at entry into the …
Use Of Surface-Enhanced Laser Desorption/Ionization With Time Of Flight (Seldi-Tof) Of The Urine In The Assessment Of Acute Kidney Injury (Aki), David J. Kennedy, Phd, Joseph M. Chan, Dinkar Kaw, Md, Anand M. Ravindaran, Md, Shobha Ratnam, Md, Phd, Deepak Malhotra, Md, Phd, Joseph I. Shapiro Md
Use Of Surface-Enhanced Laser Desorption/Ionization With Time Of Flight (Seldi-Tof) Of The Urine In The Assessment Of Acute Kidney Injury (Aki), David J. Kennedy, Phd, Joseph M. Chan, Dinkar Kaw, Md, Anand M. Ravindaran, Md, Shobha Ratnam, Md, Phd, Deepak Malhotra, Md, Phd, Joseph I. Shapiro Md
Marshall Journal of Medicine
Background: Urinalysis is an important component in the assessment of acute kidney injury (AKI). Proteonomics is a rapidly developing approach in the analysis of physiological states. Several techniques have been developed to screen for protein populations. In this regard SELDI-TOF is a technique based on mass spectroscopy that is being utilized in proteonomics research.
Methods:For this study, clean catch or catheterized urine was collected from normals (n=18) and patients referred to the renal service with AKI. Based upon urine and serum chemistries, clinical parameters, and microscopic urinalysis, the urines were separated into those consistent with prerenal azotemia (n=17) and acute …
Why Does Obesity Lead To Hypertension? Further Lessons From The Intersalt Study., Preeya T. Shah, Anna P. Shapiro, Zeid Khitan Md, Prasanna Santhanam Md, Joseph I. Shapiro Md
Why Does Obesity Lead To Hypertension? Further Lessons From The Intersalt Study., Preeya T. Shah, Anna P. Shapiro, Zeid Khitan Md, Prasanna Santhanam Md, Joseph I. Shapiro Md
Marshall Journal of Medicine
Objectives
To analyze correlations between major determinants of blood pressure (BP), in efforts to generate and compare predictive models that explain for variance in systolic, diastolic, and mean BP amongst participants of the Intersalt study.
Methods
Data from the Intersalt study, consisting of nearly 10,000 subjects from 32 different countries, were reviewed and analyzed. Published mean values of 24 hour urinary electrolyte excretion (Na+, K+), 24 hour urine creatinine excretion, body mass index (BMI, kg/m^2), and blood pressure data were extracted and imported into Matlab™ for stepwise linear regression analysis.
Results
As shown earlier, strong correlations between urinary sodium excretion …
Alkali Therapy In Lactic Acidosis, Zeid J. Khitan, Md, Deepak Malhotra, Md, Dominic S. Raj, Md, Antonios H. Tzamaloukas, Md, Joseph I. Shapiro, Md
Alkali Therapy In Lactic Acidosis, Zeid J. Khitan, Md, Deepak Malhotra, Md, Dominic S. Raj, Md, Antonios H. Tzamaloukas, Md, Joseph I. Shapiro, Md
Marshall Journal of Medicine
This report attempts to frame the debate about clinical administration of sodium bicarbonate in the setting of lactic acidosis in terms of simple questions. Specifically, we address why we develop lactic acidosis in some circumstances, how acute lactic acidosis impairs cardiovascular function and why sodium bicarbonate may have deleterious effects which limit its utility. We also attempt to explore treatment alternatives to sodium bicarbonate.