PS 06-22 SURVEY ON THE CURRENT STATUS OF HEART RATES IN CHINESE HYPERTENSIVE PATIENTS

2016 ◽  
Vol 34 (Supplement 1) ◽  
pp. e172
Author(s):  
Ningling Sun ◽  
Yong Huo ◽  
Jun Huang
Keyword(s):  
Current Status ◽  
Hypertensive Patients ◽  
Heart Rates

scholarly journals Regional differences in office and self‐measured home heart rates in Asian hypertensive patients: AsiaBP@Home study

2021 ◽  
Author(s):  
Naoko Tomitani ◽  
Satoshi Hoshide ◽  
Peera Buranakitjaroen ◽  
Yook Chin Chia ◽  
Sungha Park ◽  
...  
Keyword(s):  
Regional Differences ◽  
Hypertensive Patients ◽  
Heart Rates ◽  
Home Study

scholarly journals Current status of uric acid level in treated hypertensive patients

2013 ◽  
Vol 37 (2) ◽  
pp. 103-109 ◽  
Author(s):  
Minako Sakaki ◽  
Takuya Tsuchihashi
Keyword(s):  
Uric Acid ◽  
Uric Acid Level ◽  
Acid Level ◽  
Current Status ◽  
Hypertensive Patients

The current status of serum uric acid management of hypertensive patients

2002 ◽  
Vol 26 (1) ◽  
pp. 33-38
Author(s):  
Yasutaka Yamamoto ◽  
Kazuhiko Sonoyama ◽  
Koichi Matsubara ◽  
Toru Yatsuhashi ◽  
Masako Furuse ◽  
...  
Keyword(s):  
Uric Acid ◽  
Serum Uric Acid ◽  
Current Status ◽  
Hypertensive Patients

scholarly journals A Mobile Crowd Sensing Application for Hypertensive Patients

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 400 ◽  
Author(s):  
Slađana Jovanović ◽  
Milan Jovanović ◽  
Tamara Škorić ◽  
Stevan Jokić ◽  
Branislav Milovanović ◽  
...  
Keyword(s):  
Cloud Service ◽  
Current Status ◽  
Diagnostic Feature ◽  
Mobile Crowd Sensing ◽  
Hypertensive Patients ◽  
Experimental Database ◽  
Platform As A Service ◽  
Personal Benefit ◽  
Crowd Sensing ◽  
Mobile Crowd

Mobile crowd sensing (MCS) is an application that collects data from a network of conscientious volunteers and implements it for the common or personal benefit. This contribution proposes an implementation that collects the data from hypertensive patients, thus creating an experimental database using the cloud service Platform as a Service (PaaS). The challenge is to perform the analysis without the main diagnostic feature for hypertension—the blood pressure. The other problems consider the data reliability in an environment full of artifacts and with limited bandwidth and battery resources. In order to motivate the MCS volunteers, a feedback about the patient’s current status is created, provided by the means of machine-learning (ML) techniques. Two techniques are investigated and the Random Forest algorithm yielded the best results. The proposed platform, with slight modifications, can be adapted to the patients with other cardiovascular problems.

scholarly journals Current Status of Lipid Management of Hypertensive Patients

2003 ◽  
Vol 26 (9) ◽  
pp. 699-704 ◽  
Author(s):  
Koichi MATSUBARA ◽  
Yasutaka YAMAMOTO ◽  
Kazuhiko SONOYAMA ◽  
Go IGAWA ◽  
Masako FURUSE ◽  
...  
Keyword(s):  
Current Status ◽  
Hypertensive Patients ◽  
Lipid Management

scholarly journals Hypertension in patients admitted to clinical units at university hospital: post-discharge evaluation rated by telephone

2017 ◽  
Vol 15 (1) ◽  
pp. 45-49 ◽  
Author(s):  
Cássia Lima de Campos ◽  
Angela Maria Geraldo Pierin ◽  
Natalia Alencar de Pinho
Keyword(s):  
Antihypertensive Treatment ◽  
University Hospital ◽  
Current Status ◽  
Hospital Data ◽  
Post Discharge ◽  
Hypertensive Patients ◽  
White Ethnicity ◽  
Knowledge And Beliefs ◽  
Missed Visits ◽  
Compliance To Treatment

ABSTRACT Objective To characterize hypertensive patients after admission to hospital considering the current status, compliance to treatment, habits and lifestyle, and knowledge and beliefs about the disease. Methods This was an exploratory study with 265 hypertensive patients admitted to a medical inpatients unit of a university hospital. Data were collected in an interview over the telephone. The level of significance was set as p<0.05. Results It was found that 32% of hypertensive patients had died. One hundred patients were interviewed, mean age of 64.15 (13.2) years, 51% were women, 56% non-white, 51% with primary education, 52% were retired, 13% were smokers, 38% used alcohol, 80% did not perform physical exercise, and the mean body mass index was 35.9 (15.5) kg/m2. The comorbidities were heart problem (52%), diabetes (49%) and stroke (25%). As to antihypertensive treatment, 75% were on use, 17.3% stopped taking them and 21.3% missed visits. The treatment sites were the primary care unit (49%) and hospital (36%). As for knowledge and beliefs, 25% believed hypertension is curable, 77% that treatment should last for the rest of their lives, and hypertension brings complications (84%). A total of 46.7% were controlled. The lack of control was associated (p<0.05) with non-white ethnicity and absence of heart problems. Conclusion There were significant deaths occurred after hospitalization and poor control of blood pressure, probably due to inadequate habits and lifestyles and non-compliance to antihypertensive treatment.

Current status of special planetary and lunar theories and ephemerides

1966 ◽  
Vol 25 ◽  
pp. 266-267
Author(s):  
R. L. Duncombe
Keyword(s):  
Observational Data ◽  
Current Status ◽  
Numerical Errors

An examination of some specialized lunar and planetary ephemerides has revealed inconsistencies in the adopted planetary masses, the presence of non-gravitational terms, and some outright numerical errors. They should be considered of temporary usefulness only, subject to subsequent amendment as required for the interpretation of observational data.

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