Is home blood pressure reporting in patients with type 2 diabetes reliable?

Methods of Blood Pressure Measurement to Predict Hypertension-Related Cardiovascular Morbidity and Mortality

PURPOSE OF REVIEW

As the evidence on different blood pressure phenotypes and their cardiovascular risks evolve, it is imperative to evaluate the reliability of office blood pressure (OBP), ambulatory blood pressure (ABP), and home blood pressure (HBP) measurements and their associations with cardiovascular morbidity and mortality.

RECENT FINDINGS

HBP is more reliable in diagnosis of hypertension than OBP or ABP. HBP correlates better with left ventricular mass index (LVMI). Increasing systolic HBP is associated with a higher risk of all-cause mortality, cardiovascular mortality, and cardiovascular events. An elevated systolic ABP is also associated with a higher risk of cardiovascular events and mortality. ABP is a better predictor of cardiovascular events than OBP in diabetics. ABP and HBP furnish additional information beyond OBP. They correlate better with cardiovascular outcomes and are more helpful with monitoring therapy than OBP. Comparative effectiveness studies of all three methods associating with cardiovascular outcomes are warranted.

Blood pressure variability in individuals with diabetes mellitus: a scoping review

ABSTRACT Objectives: to map methods and devices used to assess very short-, short-, medium-, and long-term pressure variability in adults with type 1 or 2 diabetes mellitus. Methods: scoping review conducted in January and February 2021 in MEDLINE, Web of Science, CINAHL, LILACS, PubMed, and Embase databases. Studies conducted within the last ten years analyzing pressure variability in adult and older patients with diabetes mellitus type 1 or 2 were included. Studies that used discontinued devices were excluded. Results: the sample was composed of 25 articles published since 2017, with the majority developed in Japan (n=11); with the predominance of the oscillometric method (n=22); the most used devices were from the Omron® brand (n=14); the most detected type was long-term variability (n=10). Conclusions: we observed the increasing application of the oscillometric method for pressure variability analysis with various brands and models of automatic devices.

Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis

The article is devoted to the discussion of the problems of assessing the quality of observational studies in real clinical practice and determining their place in the hierarchy of evidence-based information. The concept of “big data” and the acceptability of using such a term to refer to large observational studies is being discussed. Data on the limitations of administrative and claims databases when performing observational studies to assess the effects of interventions are presented. The concept of confounding factors influencing the results of observational studies is discussed. Modern approaches to reducing the severity of bias in real-life clinical practice studies are presented. The criteria for assessing the quality of observational pharmacoepidemiological studies and the fundamental differences between such studies and randomized clinical trials are presented. The results of systematic reviews of real-life clinical trials to assess the effects of direct oral anticoagulants are discussed.

 

Factors influencing home blood pressure monitor ownership in a large clinical trial

Home blood pressure monitor (HBPM) ownership prevalence and the factors that influence it are unclear. This study aimed to investigate factors associated with HBPM ownership among participants in the Treatment in Morning versus Evening (TIME) hypertension study. This study is a sub-analysis of the TIME study, a randomised trial investigating the effect of day-time versus night-time dosing of antihypertensive medication on cardiovascular outcomes in adults with hypertension. As part of the TIME study online registration process, participants were asked to indicate whether they owned an HBPM. A multivariable logistic regression model was constructed to determine factors associated with HBPM ownership. Of 21,104 randomised participants, 11,434 (54.2%) reported owning an HBPM. The mean age of all participants at enrolment was 67.7 ± 9.3 years, 12,134 (57.5%) were male, and 8892 (42.1%) reported a current or previous history of smoking. Factors associated with an increased likelihood of reporting HBPM owned include being male (OR:1.47; 95% CI 1.39–1.56) or residing in a less deprived socioeconomic region (IMD Decile 6–10) (OR:1.31; 95% CI 1.23–1.40). Participants with a history of diabetes mellitus (OR:0.74; 95% CI:0.64–0.86) or current smokers, compared to non-smokers, (OR:0.71; 95% CI:0.62–0.82) were less likely to report owning an HBPM. This study has identified important patient factors influencing HBPM ownership. Further qualitative research would be valuable to identify and explore potential patient-level barriers to engagement with self-monitoring of blood pressure.

Big data and real-world data-based medicine in the management of hypertension

Big data has been a hot topic in medical and healthcare research. Big data in healthcare is considered to comprise massive amounts of information from various sources, including electronic health records (EHRs), administrative or claims data, and data from self-monitoring devices. Biomedical research has also generated a significant portion of big data relevant to healthcare. Other large datasets arise from cohorts that are recruited and followed on the basis of specific questions, although such research questions may later be expanded to enable other investigations. While the availability of big data offers many possibilities for an improved understanding of disease and treatment, the need for careful and productive use of statistical concepts should be kept in mind. Patient data routinely collected via electronic means are called real-world data (RWD) and are becoming common in healthcare research. RWD and big data are not synonymous with each other, but the two terms seem to be used without distinction with respect to observational studies. In this article, we review hypertension-related papers that use big data or RWD. There are many other sources of big data or RWD that are not covered here, each of which may pose special challenges and opportunities. While randomized clinical trials (RCTs) are considered to be the criterion standard for generating clinical evidence, the use of real-world evidence (RWE) to evaluate the efficacy and safety of medical interventions is gaining interest. On-going efforts to make use of RWD to generate RWE for regulatory decisions, as well as the challenges confronted, including reliability (quality) and relevance (fitness for purpose) of data, will also be addressed.

Seasonal variation in home blood pressure and its relationship with room temperature in patients with type 2 diabetes

Our aim was to examine the seasonal variations in home blood pressure measurements and the relationship of ambient temperature or room temperature with the seasonal variations in home blood pressure measurements using a home blood pressure telemonitoring system in patients with type 2 diabetes. The home blood pressure measurements of 41 patients with type 2 diabetes were self-measured. Patients performed triplicate morning and evening blood pressure measurements at least 5 days per month for 12 consecutive months. The lowest values of both systolic blood pressure and diastolic blood pressure were observed in August (126.3 and 70.4 mmHg, respectively), and the highest systolic and diastolic blood pressure values were observed in January (140.3 and 76.9 mmHg, respectively). The root mean squared error between the mean systolic blood pressure and room temperature was 6.50 mmHg and between mean systolic blood pressure and ambient temperature was 6.55 mmHg. Using a home blood pressure telemonitoring system, this study revealed for the first time that home blood pressure varied seasonally, with the highest values observed in January and the lowest values observed in August, and that the seasonal variations in home blood pressure were related to room temperature as well as ambient temperature.

Maximum morning home systolic blood pressure is an indicator of the development of diabetic nephropathy: The KAMOGAWA-HBP study

AIMS/INTRODUCTION

The maximum value of home systolic blood pressure is correlated with damage to target organs, including diabetic nephropathy. However, the precise relationship between the development of diabetic nephropathy and maximum home systolic blood pressure has not been elucidated.

MATERIALS AND METHODS

In this prospective 2-year cohort subanalysis of the KAMOGAWA-HBP study, the patient population was 477 Japanese patients with normoalbuminuria. We investigated the effects of mean and maximum home blood pressure on the development of diabetic nephropathy, which we defined as a urinary albumin excretion value ≥30 mg/g creatinine. Among the 477 patients, 67 developed diabetic nephropathy.

RESULTS

In our multivariate logistic regression analyses, the maximum morning home systolic blood pressure was significantly positively associated with the development of diabetic nephropathy after adjusting for patient sex and age, smoking status, the diabetes mellitus duration, body mass index, creatinine, total cholesterol, hemoglobin A1c, and antihypertensive medication use (odds ratio 1.21, 95% confidence interval 1.03-1.42, P = 0.021).

CONCLUSIONS

Maximum home blood pressure can be identified at a glance, and its measurement would thus be helpful to healthcare providers who treat patients with diabetes and normoalbuminuria.

Effects of dietary salt restriction on home blood pressure in diabetic patients with excessive salt intake: a pilot study

The aim of the present study was to examine whether dietary salt restriction guidance is beneficial for dietary salt restriction and lowering of home blood pressure in patients with diabetes with excessive salt intake. We performed an intervention trial of 37 people with type 2 diabetes and excessive salt intake. National registered dietitians provided dietary salt restriction guidance to each patient at the start of the study. All participants were instructed to perform triplicate morning and evening home blood pressure measurements using home blood pressure telemonitoring system. Daily salt intake at 2 months and 6 months was significantly lower than that at baseline; the difference was 0.8 [95% confidence interval (CI): 0.2–1.4, p = 0.009] g and 0.7 (95% CI: 0.1–1.3, p = 0.009) g, respectively. Morning systolic blood pressure at 2 months and 6 months was significantly lower than that at baseline; the difference was 2.7 (95% CI: 0.2–5.1, p = 0.034) mmHg and 5.8 (95% CI: 0.5–11.1, p = 0.034) mmHg, respectively. This intervention study revealed, for the first time, that dietary salt restriction guidance provided by a national registered dietitian is beneficial for reducing daily salt intake and home blood pressure in people with diabetes with excessive salt intake.

Understanding short-term blood-pressure-variability phenotypes: from concept to clinical practice

Clinic blood pressure (BP) is recognized as the gold standard for the screening, diagnosis, and management of hypertension. However, optimal diagnosis and successful management of hypertension cannot be achieved exclusively by a handful of conventionally acquired BP readings. It is critical to estimate the magnitude of BP variability by estimating and quantifying each individual patient's specific BP variations. Short-term BP variability or exaggerated circadian BP variations that occur within a day are associated with increased cardiovascular events, mortality and target-organ damage. Popular concepts of BP variability, including "white-coat hypertension" and "masked hypertension", are well recognized in clinical practice. However, nocturnal hypertension, morning surge, and morning hypertension are also important phenotypes of short-term BP variability that warrant attention, especially in the primary-care setting. In this review, we try to theorize and explain these phenotypes to ensure they are better understood and recognized in day-to-day clinical practice.

Maximum home blood pressure is a useful indicator of diabetic nephropathy in patients with type 2 diabetes mellitus: KAMOGAWA-HBP study

OBJECTIVE

Maximum home systolic blood pressure has been shown to predict target organ damage. We aimed to clarify the association between maximum home systolic blood pressure and urine albumin to creatinine ratio, an indicator of early-phase diabetic nephropathy in patients with type 2 diabetes.

METHODS

In 1040 patients, we assessed the relationship of mean or maximum home systolic blood pressure and urine albumin to creatinine ratio, and compared the area under the receiver operating characteristic curve of mean or maximum home systolic blood pressure for diabetic nephropathy (urine albumin to creatinine ratio ⩾30 mg/g Cr).

RESULTS

Multivariate linear regression analyses indicated that mean morning systolic blood pressure ( β = 0.010, p < 0.001) and maximum morning systolic blood pressure ( β = 0.008, p < 0.001) were significantly associated with urine albumin to creatinine ratio. Area under the receiver operating characteristic curve (95% confidence interval) for diabetic nephropathy in mean and maximum morning systolic blood pressure was 0.667 (0.634-0.700; p < 0.001) and 0.671 (0.638-0.703; p < 0.001), respectively.

CONCLUSION

Maximum home systolic blood pressure, as well as mean home systolic blood pressure, was significantly associated with diabetic nephropathy in patients with type 2 diabetes.

Home Blood Pressure Variability From the Stored Memory Is Correlated With Albuminuria, but From the Logbook Is not

BACKGROUND

The aim of this study was to evaluate whether the mean and the variability of home blood pressure (HBP) from the logbook correlate with albuminuria as well as HBP from the stored memory in patients with type 2 diabetes.

METHODS

This study is a post hoc analysis of a cross-sectional multicenter study. HBP measurements were performed for 14 consecutive days in 276 patients with type 2 diabetes. Patients were requested to write down their HBP values in logbooks and were not informed about the memory function of their BP monitoring devices.

RESULTS

HBP values from the logbook were significantly lower and less variable than those from the stored memory. The mean of morning systolic BP (SBP) from the logbook (adjusted β = 0.326, P < 0.001) as well as that from the stored memory (adjusted β = 0.336, P < 0.0001) was significantly associated with logarithm of urinary albumin excretion (UAE). The SD of morning SBP (adjusted β = 0.134, P = 0.017) from the stored memory was significantly associated with logarithm of UAE, in contrast, the SD of morning SBP (adjusted β = 0.104, P = 0.057) from the logbook was not associated with logarithm of UAE.

CONCLUSIONS

Patients with type 2 diabetes might report inaccurate HBP measurements and, as a result, the variability of HBP from the logbook is underestimated and poorly correlates with albuminuria. The use of stored BP measurements is recommended to accurately evaluate the relationship with diabetic nephropathy.

Olmesartan with azelnidipine versus with trichlormethiazide on home blood pressure variability in patients with type II diabetes mellitus

The aim of the present study was to compare the effects of olmesartan combined with azelnidipine versus olmesartan combined with trichlormethiazide, on home blood pressure (BP) and pressure variability in type II diabetes mellitus patients using home BP telemonitoring system. We performed an open-label cross-over pilot study of 28 patients with type II diabetes mellitus. Patients received combination treatment with either olmesartan 20 mg plus azelnidipine 16 mg or olmesartan 20 mg plus trichlormethiazide 1 mg for more than 6 weeks each in a cross-over method. The coefficient of morning systolic BP variability in the olmesartan plus azelnidipine group was significantly lower than that in the olmesartan plus trichlormethiazide group (6.4 ± 1.9 vs. 7.5 ± 2.6, P = .004). There were no significant differences in mean morning systolic BP between the two groups. Using home BP telemonitoring for hypertensive patients with type II diabetes, this study revealed for the first time that the olmesartan with azelnidipine combination is superior to the olmesartan with trichlormethiazide combination in reducing home BP variability.