다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

XI. STRATEGIES FOR IMPROVING DIABETES CARE D iabetes is a chronic illness that requires continuing medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. Diabetes care is complex and requires that many issues, beyond glycemic control, be addressed. A large body of evidence exists that supports a range of interventions to improve diabetes outcomes. These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care. While individual preferences, comorbidities, and other patient factors may require modification of goals, targets that are desirable for most patients with diabetes are provided. These standards are not intended to preclude more extensive evaluation and management of the patient by other specialists as needed. For more detailed information, refer to Bode (Ed.): Medical Management of Type 1 Diabetes (1), Burant (Ed): Medical Management of Type 2 Diabetes (2), and Klingensmith (Ed): Intensive Diabetes Management (3). The recommendations included are diagnostic and therapeutic actions that are known or believed to favorably affect health outcomes of patients with diabetes. A grading system (Table 1), developed by the American Diabetes Association (ADA) and modeled after existing methods, was utilized to clarify and codify the evidence that forms the basis for the recommendations. The level of evidence that supports each recommendation is listed after each recommendation using the letters A, B, C, or E.

Standards of Medical Care in Diabetes

WRITING GROUP MEMBERS Emelia J. Benjamin, MD, SCM, FAHA Michael J. Blaha, MD, MPH Stephanie E. Chiuve, ScD Mary Cushman, MD, MSc, FAHA Sandeep R. Das, MD, MPH, FAHA Rajat Deo, MD, MTR Sarah D. de Ferranti, MD, MPH James Floyd, MD, MS Myriam Fornage, PhD, FAHA Cathleen Gillespie, MS Carmen R. Isasi, MD, PhD, FAHA Monik C. Jiménez, ScD, SM Lori Chaffin Jordan, MD, PhD Suzanne E. Judd, PhD Daniel Lackland, DrPH, FAHA Judith H. Lichtman, PhD, MPH, FAHA Lynda Lisabeth, PhD, MPH, FAHA Simin Liu, MD, ScD, FAHA Chris T. Longenecker, MD Rachel H. Mackey, PhD, MPH, FAHA Kunihiro Matsushita, MD, PhD, FAHA Dariush Mozaffarian, MD, DrPH, FAHA Michael E. Mussolino, PhD, FAHA Khurram Nasir, MD, MPH, FAHA Robert W. Neumar, MD, PhD, FAHA Latha Palaniappan, MD, MS, FAHA Dilip K. Pandey, MBBS, MS, PhD, FAHA Ravi R. Thiagarajan, MD, MPH Mathew J. Reeves, PhD Matthew Ritchey, PT, DPT, OCS, MPH Carlos J. Rodriguez, MD, MPH, FAHA Gregory A. Roth, MD, MPH Wayne D. Rosamond, PhD, FAHA Comilla Sasson, MD, PhD, FAHA Amytis Towfighi, MD Connie W. Tsao, MD, MPH Melanie B. Turner, MPH Salim S. Virani, MD, PhD, FAHA Jenifer H. Voeks, PhD Joshua Z. Willey, MD, MS John T. Wilkins, MD Jason HY. Wu, MSc, PhD, FAHA Heather M. Alger, PhD Sally S. Wong, PhD, RD, CDN, FAHA Paul Muntner, PhD, MHSc On behalf of the American Heart Association Statistics Committee and Stroke Statistics Subcommittee Heart Disease and Stroke Statistics—2017 Update

Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

Author(s): Writing Group Members; Mozaffarian, Dariush; Benjamin, Emelia J; Go, Alan S; Arnett, Donna K; Blaha, Michael J; Cushman, Mary; Das, Sandeep R; de Ferranti, Sarah; Despres, Jean-Pierre; Fullerton, Heather J; Howard, Virginia J; Huffman, Mark D; Isasi, Carmen R; Jimenez, Monik C; Judd, Suzanne E; Kissela, Brett M; Lichtman, Judith H; Lisabeth, Lynda D; Liu, Simin; Mackey, Rachel H; Magid, David J; McGuire, Darren K; Mohler, Emile R; Moy, Claudia S; Muntner, Paul; Mussolino, Michael E; Nasir, Khurram; Neumar, Robert W; Nichol, Graham; Palaniappan, Latha; Pandey, Dilip K; Reeves, Mathew J; Rodriguez, Carlos J; Rosamond, Wayne; Sorlie, Paul D; Stein, Joel; Towfighi, Amytis; Turan, Tanya N; Virani, Salim S; Woo, Daniel; Yeh, Robert W; Turner, Melanie B; American Heart Association Statistics Committee; Stroke Statistics Subcommittee

Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association

Background and Purpose— Information has been sparse on the comparison of pulse pressure (PP) and mean arterial pressure (MAP) in relation to ischemic stroke among patients with uncontrolled hypertension. The present study examined the relation among PP, MAP, and ischemic stroke in uncontrolled hypertensive subjects in China.

Methods— A total of 6104 uncontrolled hypertensive subjects aged ≥35 years were screened with a stratified cluster multistage sampling scheme in Fuxin county of Liaoning province of China, of which 317 had ischemic stroke.

Results— After multivariable adjustment for age, gender, and other confounders, individuals with the highest quartile of PP and MAP had ORs for ischemic stroke of 1.479 (95% CI: 1.027 to 2.130) and 2.000 (95% CI: 1.373 to 2.914) with the lowest quartile as the reference. Adjusted ORs for ischemic stroke were 1.306 for MAP and 1.118 for PP with an increment of 1 SD, respectively. Ischemic stroke prediction of PP was annihilated when PP and MAP were entered in a single model. In patients aged <65 years, on a continuous scale using receive operating characteristics curve, ischemic stroke was predicted by PP ( P =0.001) and MAP ( P <0.001). The area under the curve of PP (0.570, 95% CI: 0.531 to 0.609) differed from the area under the curve of MAP (0.633, 95% CI: 0.597 to 0.669; P <0.05). Among patients aged ≥65 years, presence of ischemic stroke was only predicted by MAP.

Conclusion— PP and MAP were both associated with ischemic stroke. Ischemic stroke prediction of PP depended on MAP. On a continuous scale, MAP better predicted ischemic stroke than PP did in diagnostic accuracy.

Pulse Pressure and Mean Arterial Pressure in Relation to Ischemic Stroke Among Patients With Uncontrolled Hypertension in Rural Areas of China

The quantitative associations between prehypertension or its separate blood pressure (BP) ranges and the risk of main cardiovascular diseases (CVDs) have not been reliably documented. We performed a comprehensive search of PubMed (1966 to June 2012) and the Cochrane Library (1988 to June 2012) without language restrictions. Prospective studies were included if they reported multivariate-adjusted risk ratios (RRs) and corresponding 95 % confidence intervals (CIs) of desirable outcomes, including fatal or non-fatal incident stroke, coronary heart disease, myocardial infarction (MI) or total CVD events, with respect to prehypertension or its separate BP ranges (low range: 120–129/80–84 mmHg; high range: 130–139/85–89 mmHg) at baseline with normal BP (<120/80 mmHg) as reference. Pooled RRs were estimated using a random-effects model or a fixed-effects model. Twenty-nine articles met our inclusion criteria, with 1,010,858 participants. Both low-range and high-range prehypertension were associated with a greater risk of developing or dying of total CVD (low-range: RR: 1.24; 95 % CI: 1.10 to 1.39; high range: RR: 1.56; 95 % CI: 1.36 to 1.78), stroke (low-range: RR: 1.35; 95 % CI: 1.10 to 1.66; high-range: RR: 1.95; 95 % CI: 1.69 to 2.24) and myocardial infarction (MI) (low range: RR: 1.43; 95 % CI: 1.10 to 1.86; high range: RR: 1.99; 95 % CI: 1.59 to 2.50). The whole range prehypertension had a 1.44-fold (95 % CI: 1.35 to 1.53), 1.73-fold (95 % CI: 1.61 to 1.85), and 1.79-fold (95 % CI: 1.45 to 2.22) risk of total CVD, stroke, and MI, respectively. There was no evidence of publication bias. Prehypertensive patients have a greater risk of incident stroke, MI and total CVD events. The impact was markedly different between the low and high prehypertension ranges.

Association between pre-hypertension and cardiovascular outcomes: a systematic review and meta-analysis of prospective studies.

We investigated the prevalence and risk factors of prehypertension, as well as the predictors of progression from prehypertension to hypertension. To do this, we performed a systematic review and meta-analysis of cross-sectional and longitudinal studies, after unrestricted searches of PubMed and The Cochrane Library through September 2010. In addition, we reviewed references, major textbooks, and review articles. Pooled prevalence, standardized mean differences, and odds ratios were estimated by using a random-effects model. Twenty-six articles met our inclusion criteria; these included 20 cross-sectional and 6 longitudinal studies, with a total sample of 250,741 individuals. The overall pooled prevalence of prehypertension was 36%. The pooled prevalence among males was higher than that among females (40% vs 33%). The pooled standardized mean difference for body mass index was 1.37 (95% confidence interval [CI], 1.20-1.55); for total cholesterol, 8.08 (95% CI, 6.71-9.46); for low-density-lipoprotein cholesterol, 5.14 (95% CI, 3.09-7.18); and for fasting plasma glucose, 4.23 (95% CI, 3.28-5.18); all of which showed more significant results in females. The pooled odds ratio was 1.13 (95% CI, 0.93-1.37) for smoking and 0.98 (95% CI, 0.69-1.39) for drinking. In addition, factors such as older age at baseline, male sex, Mongolian race, and being overweight or obese were predictors of progression to hypertension, according to descriptive analysis. The prevalence of prehypertension was relatively high, especially for males. There were many modifiable risk factors associated with prehypertension, to which healthcare providers should pay more attention.

/pdf/prehypertension-a-meta-analysis-of-the-epidemiology-risk-2c3uu6bql2.pdf

Prehypertension: a meta-analysis of the epidemiology, risk factors, and predictors of progression.

OBJECTIVE We wanted to determine the incidence of hypertension and its risk factors among rural Chinese adults.

METHODS A population-based sample of 24,360 rural Chinese adults aged 35 years and older and free from hypertension at baseline was observed from 2004–2006 to 2008. Incident hypertension was defined as a systolic pressure of 140 mm Hg or greater, diastolic pressure of 90 mm Hg or greater, or current use of antihypertensive medication.

RESULTS During a mean follow-up period of 28 months, 29.6% of men and 23.4% of women developed hypertension. The age-adjusted incidence was higher in men (12.75 per 100 person-years) than in women (10.04 per 100 person-years). Among men, independent predictors of incident hypertension were baseline age (hazard ratio [HR] = 1.11; 95% confidence interval [CI], 1.10–1.13), Mongolian ethnicity (HR = 1.09; 95% CI, 1.01–1.18), use of alcohol, (HR = 1.14; 95% CI, 1.06–1.23), high income vs low income (HR = 1.11; 95% CI, 1.00–1.22; and HR = 1.11; 95% CI, 1.03–1.20), prehypertension vs normotension (HR = 1.18; 95% CI, 1.08–1.28), overweight and obesity (HR = 1.28; 95% CI, 1.17–1.40), baseline salt intake (HR = 1.00; 95% CI, 1.00–1.01) and family history of hypertension (HR = 1.14; 95% CI, 1.03–1.27). With the exception of use of alcohol and mean income, the results were similar for women, except that low physical activity was shown as a risk factors as well. The awareness, treatment, and control rates for newly developed hypertension were 29.9%, 19.5%, and 1.5%, respectively.

CONCLUSIONS These data indicate that the incidence of hypertension is high among these rural Chinese adults and that it is associated with many risk factors. Our findings further suggest that most newly developed hypertension cases are not treated. The increases in hypertension are probably related to rapid social changes in our country and may apply to other areas of the developing world. These findings call for urgent improvements in hypertension prevention and control programs in rural China.

https://www.annfammed.org/content/annalsfm/8/1/19.full.pdf

Incidence and predictors of hypertension among rural Chinese adults: results from Liaoning province.

Background:

Short sleep duration was reported to be associated with an increased risk of hypertension among adults. The present study aimed to investigate this association in children and adolescents.



Hypothesis:

Short sleep duration is related to higher risk of hypertension among children and adolescents.



Methods:

We conducted a cross-sectional study of 4902 children and adolescents age 5 to 18 years. Blood pressure (BP) was measured at the research center and classified using the population-based percentiles. Sleep duration and related information were determined through questionnaires.



Results:

The prevalence of hypertension and prehypertension were 20.3% and 15%, respectively. The median sleep duration was 8.77 ± 1.07 hours (mean ± standard deviation). A short sleep duration (<9 hours) was associated with a higher risk of hypertension when compared with the group sleeping longer (9–10 h), among boys age 11 to 14 years old (OR, 1.5; 95% CI, 1.04–2.15), adjusting for age, body mass index, waist circumference, and physical activity. The linear regression stratified by age indicated that for boys age 11 to 14 years the inverse association existed after adjustment with the coefficients −1.04 mm Hg and −0.55 mm Hg per hour of sleep for systolic BP and diastolic BP, respectively.



Conclusions:

Short sleep duration (<9 h) is independently associated with hypertension among Chinese boys age 11 to 14 years old. © 2011 Wiley Periodicals, Inc.



L. Zheng and X. Guo contributed equally to this work.



The authors have no funding, financial relationships, or conflicts of interest to disclose.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/clc.20976

Zhaoqing Sun

Papers

Pulse Pressure and Mean Arterial Pressure in Relation to Ischemic Stroke Among Patients With Uncontrolled Hypertension in Rural Areas of China

Association between pre-hypertension and cardiovascular outcomes: a systematic review and meta-analysis of prospective studies.

Prehypertension: a meta-analysis of the epidemiology, risk factors, and predictors of progression.

Incidence and predictors of hypertension among rural Chinese adults: results from Liaoning province.

Association Between Sleep Duration and Hypertension Among Chinese Children and Adolescents