Literature DB >> 34022036

Estimated Prevalence of Hypertension and Undiagnosed Hypertension in a Large Inpatient Population: A Cross-sectional Observational Study.

Adam Mahdi1, Laura C Armitage2, Lionel Tarassenko1,3, Peter Watkinson3,4.   

Abstract

BACKGROUND: Hypertension is a major cause of morbidity and mortality. In community populations the prevalence of hypertension, both in diagnosed and undiagnosed states, has been widely reported. However, estimates for the prevalence of hospitalized patients with average blood pressures (BPs) that meet criteria for the diagnosis of hypertension are lacking. We aimed to estimate the prevalence of patients in a UK hospital setting, whose average BPs meet current international guidelines for hypertension diagnosis.
METHODS: We performed a retrospective cross-sectional observational study of patients admitted to adult wards in 4 acute hospitals in Oxford, United Kingdom, between March 2014 and April 2018.
RESULTS: We identified 41,455 eligible admitted patients with a total of 1.7 million BP measurements recorded during their hospital admissions. According to European ESC/ESH diagnostic criteria for hypertension, 21.4% (respectively 47% according to American ACC/AHA diagnostic criteria) of patients had a mean BP exceeding the diagnostic threshold for either Stage 1, 2, or 3 hypertension. Similarly, 5% had a mean BP exceeding the ESC/ESH (respectively 13% had a mean BP exceeding the ACC/AHA) diagnostic criteria for hypertension, but no preexisting diagnostic code for hypertension or a prescribed antihypertensive medication during their hospital stay.
CONCLUSIONS: Large numbers of hospital inpatients have mean in-hospital BPs exceeding diagnostic thresholds for hypertension, with no evidence of diagnosis or treatment in the electronic record. Whether opportunistic screening for in-hospital high BP is a useful way of detecting people with undiagnosed hypertension needs evaluation.
© The Author(s) 2021. Published by Oxford University Press on behalf of American Journal of Hypertension, Ltd.

Entities:  

Keywords:  blood pressure; hospital measurements; hypertension; undiagnosed hypertension

Mesh:

Year:  2021        PMID: 34022036      PMCID: PMC8457434          DOI: 10.1093/ajh/hpab070

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


BACKGROUND

Hypertension is a major cause of morbidity and mortality.[1] Early detection and management of hypertension is key to preventing end-organ damage.[2] However, in the early stages, hypertension is usually asymptomatic. In the UK healthcare setting, hypertension is typically identified either opportunistically or through the National Health Service (NHS) Health Check in primary care.[3,4] However, only half of those invited attend these health checks[5] and 12% of the English adult population have undiagnosed hypertension.[6] Internationally, hypertension awareness varies widely from 40% to 80% among high-income nations, with awareness and treatment rates of younger people being lower than older age groups.[7] Furthermore, the Global Burden of Disease Study of 2013 estimated hypertension causes over 10 million deaths worldwide annually.[8] Therefore, current approaches to identifying people with hypertension are not adequate and innovative approaches need to be considered to improve the detection of hypertension. The inpatient hospital setting, in which multiple blood pressure (BP) measurements are performed for each admitted patient may provide an opportunity to detect people with undiagnosed hypertension. However, research in this field has so far, focused on the prevalence of hypertension in the emergency department setting and has largely excluded patients admitted to hospital.[9]

OBJECTIVES

The primary objective of this study is to estimate the prevalence of hypertension and undiagnosed hypertension in a UK hospital inpatient setting using a large hospital database of 1.7 million BP measurements. We also identify patient characteristics of those who appear to be at greatest risk of undiagnosed hypertension.

METHODS

Study design

This study is a retrospective cross-sectional analysis of in-hospital BP for adult hospital patients meeting the eligibility criteria described below.

Study setting

Patients were admitted between March 2014 and April 2018 to adult wards in 3 tertiary and 1 secondary referral centers in the Oxford University Hospitals NHS Foundation Trust, United Kingdom.

Participants

We included patients from all adult wards, with the exception of the maternity and intensive care units, of the 4 acute hospitals in the Oxford University Hospitals (OUH) NHS Foundation Trust. We included the first admission of each patient during which at least 3 BP measurements were recorded, with at least 1 being recorded during the nighttime (midnight to 5:59 am) and at least 1 recorded during the daytime (10:00 am to 7:59 pm), with 2 of these observations being at least 24 hours apart. Hospital day and night periods were defined in accordance with standard practice in the literature.[10]

Data sources

Patients had their vital observations, including heart rate and systolic and diastolic BP recorded using the System for Electronic Notification and Documentation (SEND). SEND is a software application that links vital sign monitoring devices including BP monitors, with a tablet computer for the manual recording of vital signs in patients.[11] All vital-sign equipment used within the study was purchased and maintained (including regular calibration) in accordance with the Oxford University Hospitals NHS Foundation Trust Medical Devices Management Policy. Other data (date of birth, sex, ICD-10 codes and prescription information) were obtained from the Patient Administration System (PAS) in the hospitals’ electronic patient record (EPR) system, Cerner Millennium (https://www.cerner.com/, North Kansas City, MO).

Sample size

We examined all patients aged 16 years and over who were admitted between March 2014 and April 2018 with observations recorded electronically using the SEND system for eligibility.

Quantitative variables

Each patient’s BP data were averaged by hour of the day over their whole admission period, such that each individual only contributed averaged data for a maximum of 24 individual hourly periods. The computational details of this procedure have been described in our previous article.[12] Classification of inpatients meeting clinic and ambulatory (daytime, nighttime, and 24 hours) hypertension diagnostic thresholds were made according to published guidelines for hypertension diagnosis and management from Europe (ESC/ESH guidelines of 2018[13]) and America (ACC/AHA guidelines of 2017[14]). The definitions of the corresponding hypertension diagnostic thresholds can be found in Supplementary Tables ST-1 and ST-2 online. Undiagnosed hypertension was defined as having a mean BP above the diagnostic thresholds and no previous ICD-10 codes for hypertension (Supplementary Table ST-4 online) nor any of the prescribed antihypertensive medications listed by British National Formulary (Supplementary Table ST-3 online).[15] In line with published diagnostic criteria, we define patients meeting the criteria for isolated nocturnal hypertension as elevated nighttime BP (average nighttime systolic BP ≥120 or diastolic BP ≥70) in the presence of normal daytime BP (average daytime systolic BP <135 and diastolic BP <85). As a proxy for the ambulatory BP monitoring, we applied these diagnostic criteria to patients’ 24-hour BP signature as explained above. We investigated the prevalence of elevated BP in predefined patient subgroups according to (i) sex as recorded in the EPR, (ii) age, (iii) elective vs. emergency admission, and (iv) medical vs. surgical admission. We classified patients according to whether their electronic record did not contain previous ICD-10 codes for hypertension (Supplementary Table ST-8 online) or record of the antihypertensive drugs listed by British National Formulary[15] (Supplementary Table ST-7 online).

RESULTS

Descriptive data

Between March 2014 and April 2018, 208,948 patients 16 years of age and over were admitted to Oxford University Hospitals NHS Foundation Trust and had their BP recorded using the SEND system. After excluding patients with no nighttime observations (113,012), those with no daytime observation (6,161), those in whom the time between first and last observation was less than 24 hours (13,899), and any subsequent admissions of the same patient (34,421), 41,455 patients were eligible for inclusion in the study (see Figure 1 for an inclusion/exclusion criteria flowchart). A total of 1,701,812 BP measurements were recorded for these patients. Patient demographics are shown in Table 1. Mean patient age was 64 years (SD 19) and 51% were female. Median length of stay was 4.7 days (interquartile range 7.4) and 63% were admitted as an emergency, whilst 33% were admitted electively and 4% classified as “other” (e.g., transfer from other hospital provider other than in an emergency).
Figure 1.

Inclusion/exclusion criteria flowchart.

Table 1.

Patient demographics

PatientsAgeLOSNumber of BP measurementsSBPDBP
Percentage of totalMean (SD)Median (IQR)Median (IQR)Mean (SD)Mean (SD)
All41,455 (100%)64 (19)4.7 (7.4)27 (34)127 (16)69 (9)
Sex
 Men20,169 (49%)64 (19)4.9 (7.5)28 (34)128 (15)70 (9)
 Women21,286 (51%)65 (20)4.6 (7.2)26 (33)126 (17)67 (9)
Age groups
 18–292,833 (7%)24 (4)2.8 (3.9)17 (19)118 (12)66 (8)
 30–392,722 (7%)35 (3)3.2 (4.5)19 (23)119 (14)69 (9)
 40–493,714 (9%)45 (3)3.6 (5.1)22 (26)122 (14)71 (10)
 50–595,674 (14%)55 (3)4.1 (5.8)25 (28)125 (15)71 (9)
 60–697,071 (17%)65 (3)4.5 (6.4)27 (32)127 (15)69 (9)
 70–798,680 (21%)74 (3)5.2 (7.9)30 (35)130 (16)68 (8)
 80–897,861 (19%)84 (3)6.8 (10.9)34 (44)132 (17)68 (9)
 90+2,714 (7%)91 (1)7.5 (12)34 (45)133 (18)68 (9)
NHS Admission Method
 Emergency26,290 (63%)66 (21)5.1 (8.9)26 (37)125 (14)67 (8)
 Elective13,490 (33%)61 (17)3.9 (4.7)27 (26)128 (17)69 (9)
 Other1,675 (4%)64 (18)9.8 (11.9)46 (48)126 (16)68 (9)
NHS Specialty
 Medical18,113 (44%)69 (19)4.9 (8.9)25 (36)127 (18)69 (10)
 Surgical22,543 (54%)60 (19)4.6 (6.3)28 (31)127 (15)68 (8)
 Other792 (2%)66 (15)5.5 (9.8)27 (41)125 (16)68 (9)

Abbreviations: BP, blood pressure; DBP, diastolic BP; IQR, interquartile range; LOS, length of stay; SBP, systolic BP. “Other” in NHS Admission Method refers to any admission method, that is not Emergency or Elective (e.g., maternity admissions or transfer from other hospital provider other than in an emergency); “other” in NHS Specialty refers to any specialty that is not Medical or Surgical.

Patient demographics Abbreviations: BP, blood pressure; DBP, diastolic BP; IQR, interquartile range; LOS, length of stay; SBP, systolic BP. “Other” in NHS Admission Method refers to any admission method, that is not Emergency or Elective (e.g., maternity admissions or transfer from other hospital provider other than in an emergency); “other” in NHS Specialty refers to any specialty that is not Medical or Surgical. Inclusion/exclusion criteria flowchart.

Prevalence of patients meeting criteria for hypertension

According to the European ESC/ESH diagnostic criteria for clinical hypertension, 18% patients had a mean BP equal to or greater than the diagnostic thresholds for Stage 1 hypertension, 3% had a mean BP equal to or greater than the diagnostic thresholds for Stage 2 hypertension, and 0.4% equal to or greater than the thresholds for Stage 3 hypertension (Table 2). Using the (lower) American ACC/AHA guidelines, the proportions of patients meeting the diagnostic thresholds for Stage 1, 2, and 3 hypertension were 26%, 18%, and 3%, respectively (Table 2). The prevalence of patients meeting the criteria for isolated nighttime hypertension was 39% according to ESC/ESH (45% according to ACC/AHA) guidelines. The prevalence of those meeting criteria for isolated systolic hypertension according to ESC/ESH thresholds was 19% (31% according to ACC/AHA thresholds). The prevalence for isolated diastolic and daytime hypertension was low (Supplementary Table ST-5 online). The prevalence of patients meeting the Ambulatory Blood Pressure Monitoring (ABPM) for daytime, nighttime, and 24-hour diagnostic thresholds (Supplementary Table ST-2 online) is stratified further by sex, age groups, NHS admission method, and NHS specialty and presented in Table 3.
Table 2.

Estimated prevalence of “clinic” hypertension

PatientsAgeLOSNumber of BP measurements
% of totalMean (SD)Median (IQR)Median (IQR)
Hypertension category (ESC/ESH)
 Normotensive32,788 (79%)62 (20)5 (7)27 (34)
 Stage 17,504 (18%)72 (15)5 (8)27 (35)
 Stage 21,297 (3%)74 (15)4 (6)23 (29)
 Stage 3144 (0.4%)72 (18)2 (3)19 (15)
Hypertension category (ACC/AHA)
 Normotensive24,158 (58%)60 (20)5 (7)27 (34)
 Stage 110,858 (26%)68 (17)5 (8)27 (34)
 Stage 27,504 (18%)72 (15)5 (8)28 (35)
 Stage 31,417 (3%)74 (15)4 (6)23 (28)

Estimated prevalence (%) of patients meeting the criteria for clinical hypertension stratified by stages of hypertension together with the corresponding mean age (years), median length of stay (days), median number of blood pressure observations according to European ESC/ESH and American ACC/AHA guidelines (Supplementary Table ST-1 online). Abbreviations: BP, blood pressure; IQR, interquartile range; LOS, length of stay.

Table 3.

Estimated ABPM daytime, ABPM nighttime, and ABPM 24-hour hypertension

ESC/ESHACC/AHA
ABPMDaytimeNighttime24 hoursDaytimeNighttime24 hours
SBP/DBP ≥135/85120/70130/80130/80110/65125/75
MFMFMFMFMFMF
Overall292873654340423895905953
Age groups
 18–291545531238281093794417
 30–3920865363012331395814821
 40–49261574473720392297875533
 50–59292276594331433397916045
 60–69312974664541444097916055
 70–79313576744750434796926264
 80–89343976805158465194956470
 90+314177824961435294956272
NHS Admission method
 Elective262271554132403296875745
 Emergency303174704545434195926057
 Other262970654041383894915651
NHS Specialty
 Medical293172694345404194915756
 Surgical292574614337433596906050
 Other282372604136403495885449

Estimated prevalence (%) of patients meeting the criteria for “clinic,” daytime, nighttime, and 24-hour hypertension stratified by sex, age groups, NHS Admission Method, and NHS Specialty according to the European ESC/ESH and American ACC/AHA guidelines (Supplementary Table ST-2 online). Abbreviations: DBP, diastolic blood pressure; F, female; M, male; SBP, systolic blood pressure. Daytime SBP (DBP) is the mean systolic (diastolic) blood pressure measurements taken during daytime hours (10:00 am to 7:59 pm). Nighttime SBP (DBP) is the mean systolic (diastolic) blood pressure measurements taken during night hours (midnight to 5:59 am).

Estimated prevalence of “clinic” hypertension Estimated prevalence (%) of patients meeting the criteria for clinical hypertension stratified by stages of hypertension together with the corresponding mean age (years), median length of stay (days), median number of blood pressure observations according to European ESC/ESH and American ACC/AHA guidelines (Supplementary Table ST-1 online). Abbreviations: BP, blood pressure; IQR, interquartile range; LOS, length of stay. Estimated ABPM daytime, ABPM nighttime, and ABPM 24-hour hypertension Estimated prevalence (%) of patients meeting the criteria for “clinic,” daytime, nighttime, and 24-hour hypertension stratified by sex, age groups, NHS Admission Method, and NHS Specialty according to the European ESC/ESH and American ACC/AHA guidelines (Supplementary Table ST-2 online). Abbreviations: DBP, diastolic blood pressure; F, female; M, male; SBP, systolic blood pressure. Daytime SBP (DBP) is the mean systolic (diastolic) blood pressure measurements taken during daytime hours (10:00 am to 7:59 pm). Nighttime SBP (DBP) is the mean systolic (diastolic) blood pressure measurements taken during night hours (midnight to 5:59 am).

Estimated undiagnosed hypertension in the hospital setting

The prevalence of patients meeting the diagnostic criteria for clinic hypertension and no previous or existing ICD-10 codes for hypertension nor any of the prescribed antihypertensive drugs listed by British National Formulary (referred to here as “undiagnosed hypertension”) was 5% for men and for 5% women according to European ESC/ESH (140/90 threshold) and 14% men and 12% for women according to American ACC/AHA (130/80 threshold) guidelines. The analogous estimated prevalence of undiagnosed hypertension using the ABPM thresholds stratified by sex, age, NHS admission method, and NHS Specialty is given in Table 4.
Table 4.

Estimated undiagnosed ABPM daytime, ABPM nighttime, and ABPM 24-hour hypertension

ESC/ESHACC/AHA
ABPMDaytimeNighttime24 hoursDaytimeNighttime24 hours
SBP/DBP ≥135/85120/70130/80130/80110/65125/75
MFMFMFMFMFMF
Overall9829251412151242422218
Age groups
 18–29133502820625886743915
 30–39135523022825979713716
 40–4914950342212231469673522
 50–59121136341816201850582825
 60–6991026281416141636432023
 70–797819211014101225291518
 80–89671617101191021211314
 90+671917111110925201515
Admission method
 Elective8829241411151242462218
 Emergency10830261513161442412319
 Other662019999928321513
Specialty
 Medical8824241212121235381818
 Surgical10833261612171346462519
 Other111134281715171649492421

Estimated undiagnosed hypertension prevalence (%) in-hospital population stratified by sex, age category, NHS Admission Method, and NHS Specialty according to the European ESC/ESH and American ACC/AHA guidelines (Supplementary Table ST-2 online). Abbreviations: DBP, diastolic blood pressure; F, female; M, male; SBP, systolic blood pressure. Daytime SBP (DBP) is the mean systolic (diastolic) blood pressure measurements taken during daytime hours (10:00 am to 7:59 pm). Nighttime SBP (DBP) is the mean systolic (diastolic) blood pressure measurements taken during night hours (midnight to 5:59 am).

Estimated undiagnosed ABPM daytime, ABPM nighttime, and ABPM 24-hour hypertension Estimated undiagnosed hypertension prevalence (%) in-hospital population stratified by sex, age category, NHS Admission Method, and NHS Specialty according to the European ESC/ESH and American ACC/AHA guidelines (Supplementary Table ST-2 online). Abbreviations: DBP, diastolic blood pressure; F, female; M, male; SBP, systolic blood pressure. Daytime SBP (DBP) is the mean systolic (diastolic) blood pressure measurements taken during daytime hours (10:00 am to 7:59 pm). Nighttime SBP (DBP) is the mean systolic (diastolic) blood pressure measurements taken during night hours (midnight to 5:59 am). The prevalence of those meeting the criteria for “undiagnosed” isolated nighttime hypertension was 17% according to ESC/ESH (22% according to ACC/AHA). The prevalence for those meeting the criteria for “undiagnosed” isolated systolic hypertension was lower at 5% according to ESC/ESH (9% according to ACC/AHA). The prevalence for undiagnosed isolated diastolic and daytime hypertension was nearly zero (Supplementary Table ST-6 online).

Estimated age-dependent trends of hypertension

The estimated age-dependent prevalence of hypertension trends for men and women according to the European ESC/ESH and American ACC/AHA definitions of thresholds is shown in Figure 2, with underlying numbers in Table 3. The analogous estimated prevalence trends for undiagnosed hypertension, shown in Figure 3, with the underlying data presented in Table 4.
Figure 2.

Estimated age-dependent hypertension trends. Estimated prevalence trends of patients meeting the criteria for “clinic,” ABPM day, ABPM night, and ABPM 24-hour hypertension for different age groups according to the European ESC/ESH (top panel) and American ACC/AHA (bottom panel) guidelines (Supplementary Tables ST-2 online).

Figure 3.

Estimated undiagnosed age-dependent hypertension trends. Estimated prevalence of undiagnosed hypertension trends for different age groups according to the European ESC/ESH (top panel) and American ACC/AHA (bottom panel) guidelines.

Estimated age-dependent hypertension trends. Estimated prevalence trends of patients meeting the criteria for “clinic,” ABPM day, ABPM night, and ABPM 24-hour hypertension for different age groups according to the European ESC/ESH (top panel) and American ACC/AHA (bottom panel) guidelines (Supplementary Tables ST-2 online). Estimated undiagnosed age-dependent hypertension trends. Estimated prevalence of undiagnosed hypertension trends for different age groups according to the European ESC/ESH (top panel) and American ACC/AHA (bottom panel) guidelines.

Discussion

Key results

We estimated the prevalence of patients with average in-hospital BP meeting criteria for hypertension and undiagnosed hypertension according to the European 2018 ESC/ESH guidelines[13] and American 2017 ACC/AHA guidelines,[14] using a large hospital database of 1.7 million BP measurements. The proportion of patients meeting the diagnostic criteria for Stage 1, 2, or 3 hypertension was 21.4% when the European guidelines were applied and 47% when the American guidelines were applied. Overall, the proportion of patients meeting diagnostic criteria for hypertension increased with age, whilst number with “undiagnosed” hypertension decreased with age.

Interpretation

Although the prevalence of hypertension and specifically undiagnosed hypertension in the community has been well established, it is rarely reported in the hospital setting. Literature regarding the prevalence of elevated in-hospital BP in the absence of a diagnosis of hypertension and its diagnostic ability and association with a persistently raised BP postdischarge and the future development of hypertension are also lacking; a recent systematic review that investigated the extent to which elevated in-hospital BP can predict undiagnosed hypertension identified 12 studies of emergency department populations but none of inpatient populations.[9]

Prevalence of hypertension

The prevalence of undiagnosed hypertension in emergency departments has been reported to be about 3%–15% of adult patients, of which nearly 50% being categorized as having Stage 1 hypertension, 25%–36% Stage 2 hypertension, and 12%–30% Stage 3 hypertension.[16] In comparison, the current study shows that the estimated prevalence of patients undiagnosed hypertension (see Methods section for a definition) was 5% using ESC/ESH and 13% using ACC/AHA criteria. We note that using lower ABPM daytime, nighttime, and 24-hour thresholds yields higher estimated prevalences (Table 4).

Screening for hypertension in hospital

Hospital admission allows for opportunistic screening of BP and potential identification of undiagnosed hypertension. The accumulation of multiple measurements during hospital admission may also allow more accurate detection of patients who have hypertension. The prevalence of nocturnal high BP suggests a single normotensive screening measurement obtained in a primary care appointment might falsely classify some patients reaching hypertension criteria in hospital as being normotensive. Figure 2 shows that the prevalence of elevated BP increases with age. This patient group includes those with and without an existing diagnosis of hypertension. Although many of those with diagnosed hypertension had elevated BP in hospital, this may result from decreased antihypertensive treatment during the hospital stay, rather than reflecting uncontrolled hypertension in the community. Figure 3 illustrates that there is a decrease in prevalence of patients meeting criteria for “undiagnosed” hypertension with advancing age. It is unlikely that this is solely attributable to physiological aging and may reflect increased pick-up as age increases. The marked prevalence of patients meeting criteria for “undiagnosed” hypertension suggests in-hospital screening may be worthwhile.[17] Whilst elevated or labile BP in hospital may be attributed to stress and anxiety, previous studies have suggested increased BP lability under stress is a predictor of future cardiovascular events.[18] A particularly interesting aspect of hospital screening is the finding that 17% patients met the ESC/ESH (22% ACC/AHA) criteria for undiagnosed isolated nighttime hypertension. These patients would not be identified for 24-hour ABPM by office measurements, but may have increased cardiovascular risk.[19] Present guidelines on the management of elevated BP in hospital are only applicable to patients who have markedly elevated BP in the emergency department setting.[20] Internationally, hypertension guidelines provide diagnostic criteria for the clinic, home, or ambulatory setting (Supplementary Tables ST-1 and ST-2 online) but do not suggest diagnostic thresholds for the in-hospital setting. This may be owing to a lack of studies upon which hospital thresholds could be defined. Indeed, the emergency department guidelines draw on evidence from few studies which are limited in sample size and representativeness.[9] However, studies conducted in Emergency Departments suggest that between 25% and 76% of those with high BP in the emergency department meet criteria for the diagnosis of hypertension in the community.[9] As our hospitalized patients contributed more BP readings than patients with brief hospital attendances in the emergency departments studies[9] classification of BP using in-hospital measurements may prove more predictive.

Study limitations

This was a retrospective study with inherent limitations. The study used measurements recorded on the wards by nursing staff as part of their regular observations of in-hospital patients. This poses 2 potential limitations. Firstly, patients who have longer hospital stays will contribute more data to a hospital database of vital-sign observations. We compensated for this by generating 1 24-hour BP profile per patient, regardless of their length of hospital stay with details of this procedure described in ref. 12. Secondly, the question of selection bias arises. The patients who are clinically less stable may have their BP taken more frequently during nighttime hours. However, observations may also be measured at night as a result of admission time or clinical protocols. Our predefined inclusion criteria based on earlier work in which we defined a method for 24-hour BP profiling of patients meant we excluded the majority of patients admitted to hospital. The greatest number of patients was excluded due to having no nighttime BP measurements. This may have caused us to underestimate the prevalence of daytime hypertension. This study included patients from 4 hospitals (3 tertiary and 1 secondary) within a single University Hospital Trust in the United Kingdom. Further work is needed to discover whether our results are generalizable to hospitalized patients in different regions of the world. Finally, our work includes only in-hospital BPs. Further research investigating the diagnostic performance of in-hospital BP measurements for reliably detecting community hypertension is required. A substantial number of hospitalized patients have an average in-hospital BP that exceeds international criteria for the diagnosis of hypertension, with many demonstrating isolated nocturnal hypertension that are unlikely to be picked up with clinic or home BP measurements. In-hospital BPs may present an opportunity to detect patients with previously undiagnosed hypertension. Click here for additional data file.
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Authors:  J A Staessen; L Bieniaszewski; E O'Brien; P Gosse; H Hayashi; Y Imai; T Kawasaki; K Otsuka; P Palatini; L Thijs; R Fagard
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Journal:  Hypertension       Date:  2010-03-01       Impact factor: 10.190

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Authors:  Bryan Williams; Giuseppe Mancia; Wilko Spiering; Enrico Agabiti Rosei; Michel Azizi; Michel Burnier; Denis L Clement; Antonio Coca; Giovanni de Simone; Anna Dominiczak; Thomas Kahan; Felix Mahfoud; Josep Redon; Luis Ruilope; Alberto Zanchetti; Mary Kerins; Sverre E Kjeldsen; Reinhold Kreutz; Stephane Laurent; Gregory Y H Lip; Richard McManus; Krzysztof Narkiewicz; Frank Ruschitzka; Roland E Schmieder; Evgeny Shlyakhto; Costas Tsioufis; Victor Aboyans; Ileana Desormais
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Authors:  R K Reibis; M Huber; M Karoff; W Kamke; R Kreutz; K Wegscheider; H Völler
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Review 5.  2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

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6.  Delivery and impact of the NHS Health Check in the first 8 years: a systematic review.

Authors:  Adam Martin; Catherine L Saunders; Emma Harte; Simon J Griffin; Calum MacLure; Jonathan Mant; Catherine Meads; Fiona M Walter; Juliet A Usher-Smith
Journal:  Br J Gen Pract       Date:  2018-06-18       Impact factor: 5.386

7.  Circadian Blood Pressure Variations Computed From 1.7 Million Measurements in an Acute Hospital Setting.

Authors:  Adam Mahdi; Peter Watkinson; Richard J McManus; Lionel Tarassenko
Journal:  Am J Hypertens       Date:  2019-11-15       Impact factor: 2.689

8.  Screening for Hypertension in the INpatient Environment(SHINE): a protocol for a prospective study of diagnostic accuracy among adult hospital patients.

Authors:  Laura C Armitage; Adam Mahdi; Beth K Lawson; Cristian Roman; Thomas Fanshawe; Lionel Tarassenko; Andrew J Farmer; Peter J Watkinson
Journal:  BMJ Open       Date:  2019-12-04       Impact factor: 2.692

9.  Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Authors:  Mohammad H Forouzanfar; Lily Alexander; H Ross Anderson; Victoria F Bachman; Stan Biryukov; Michael Brauer; Richard Burnett; Daniel Casey; Matthew M Coates; Aaron Cohen; Kristen Delwiche; Kara Estep; Joseph J Frostad; K C Astha; Hmwe H Kyu; Maziar Moradi-Lakeh; Marie Ng; Erica Leigh Slepak; Bernadette A Thomas; Joseph Wagner; Gunn Marit Aasvang; Cristiana Abbafati; Ayse Abbasoglu Ozgoren; Foad Abd-Allah; Semaw F Abera; Victor Aboyans; Biju Abraham; Jerry Puthenpurakal Abraham; Ibrahim Abubakar; Niveen M E Abu-Rmeileh; Tania C Aburto; Tom Achoki; Ademola Adelekan; Koranteng Adofo; Arsène K Adou; José C Adsuar; Ashkan Afshin; Emilie E Agardh; Mazin J Al Khabouri; Faris H Al Lami; Sayed Saidul Alam; Deena Alasfoor; Mohammed I Albittar; Miguel A Alegretti; Alicia V Aleman; Zewdie A Alemu; Rafael Alfonso-Cristancho; Samia Alhabib; Raghib Ali; Mohammed K Ali; François Alla; Peter Allebeck; Peter J Allen; Ubai Alsharif; Elena Alvarez; Nelson Alvis-Guzman; Adansi A Amankwaa; Azmeraw T Amare; Emmanuel A Ameh; Omid Ameli; Heresh Amini; Walid Ammar; Benjamin O Anderson; Carl Abelardo T Antonio; Palwasha Anwari; Solveig Argeseanu Cunningham; Johan Arnlöv; Valentina S Arsic Arsenijevic; Al Artaman; Rana J Asghar; Reza Assadi; Lydia S Atkins; Charles Atkinson; Marco A Avila; Baffour Awuah; Alaa Badawi; Maria C Bahit; Talal Bakfalouni; Kalpana Balakrishnan; Shivanthi Balalla; Ravi Kumar Balu; Amitava Banerjee; Ryan M Barber; Suzanne L Barker-Collo; Simon Barquera; Lars Barregard; Lope H Barrero; Tonatiuh Barrientos-Gutierrez; Ana C Basto-Abreu; Arindam Basu; Sanjay Basu; Mohammed O Basulaiman; Carolina Batis Ruvalcaba; Justin Beardsley; Neeraj Bedi; Tolesa Bekele; Michelle L Bell; Corina Benjet; Derrick A Bennett; Habib Benzian; Eduardo Bernabé; Tariku J Beyene; Neeraj Bhala; Ashish Bhalla; Zulfiqar A Bhutta; Boris Bikbov; Aref A Bin Abdulhak; Jed D Blore; Fiona M Blyth; Megan A Bohensky; Berrak Bora Başara; Guilherme Borges; Natan M Bornstein; Dipan Bose; Soufiane Boufous; Rupert R Bourne; Michael Brainin; Alexandra Brazinova; Nicholas J Breitborde; Hermann Brenner; Adam D M Briggs; David M Broday; Peter M Brooks; Nigel G Bruce; Traolach S Brugha; Bert Brunekreef; Rachelle Buchbinder; Linh N Bui; Gene Bukhman; Andrew G Bulloch; Michael Burch; Peter G J Burney; Ismael R Campos-Nonato; Julio C Campuzano; Alejandra J Cantoral; Jack Caravanos; Rosario Cárdenas; Elisabeth Cardis; David O Carpenter; Valeria Caso; Carlos A Castañeda-Orjuela; Ruben E Castro; Ferrán Catalá-López; Fiorella Cavalleri; Alanur Çavlin; Vineet K Chadha; Jung-Chen Chang; Fiona J Charlson; Honglei Chen; Wanqing Chen; Zhengming Chen; Peggy P Chiang; Odgerel Chimed-Ochir; Rajiv Chowdhury; Costas A Christophi; Ting-Wu Chuang; Sumeet S Chugh; Massimo Cirillo; Thomas K D Claßen; Valentina Colistro; Mercedes Colomar; Samantha M Colquhoun; Alejandra G Contreras; Cyrus Cooper; Kimberly Cooperrider; Leslie T Cooper; Josef Coresh; Karen J Courville; Michael H Criqui; Lucia Cuevas-Nasu; James Damsere-Derry; Hadi Danawi; Lalit Dandona; Rakhi Dandona; Paul I Dargan; Adrian Davis; Dragos V Davitoiu; Anand Dayama; E Filipa de Castro; Vanessa De la Cruz-Góngora; Diego De Leo; Graça de Lima; Louisa Degenhardt; Borja del Pozo-Cruz; Robert P Dellavalle; Kebede Deribe; Sarah Derrett; Don C Des Jarlais; Muluken Dessalegn; Gabrielle A deVeber; Karen M Devries; Samath D Dharmaratne; Mukesh K Dherani; Daniel Dicker; Eric L Ding; Klara Dokova; E Ray Dorsey; Tim R Driscoll; Leilei Duan; Adnan M Durrani; Beth E Ebel; Richard G Ellenbogen; Yousef M Elshrek; Matthias Endres; Sergey P Ermakov; Holly E Erskine; Babak Eshrati; Alireza Esteghamati; Saman Fahimi; Emerito Jose A Faraon; Farshad Farzadfar; Derek F J Fay; Valery L Feigin; Andrea B Feigl; Seyed-Mohammad Fereshtehnejad; Alize J Ferrari; Cleusa P Ferri; Abraham D Flaxman; Thomas D Fleming; Nataliya Foigt; Kyle J Foreman; Urbano Fra Paleo; Richard C Franklin; Belinda Gabbe; Lynne Gaffikin; Emmanuela Gakidou; Amiran Gamkrelidze; Fortuné G Gankpé; Ron T Gansevoort; Francisco A García-Guerra; Evariste Gasana; Johanna M Geleijnse; Bradford D Gessner; Pete Gething; Katherine B Gibney; Richard F Gillum; Ibrahim A M Ginawi; Maurice Giroud; Giorgia Giussani; Shifalika Goenka; Ketevan Goginashvili; Hector Gomez Dantes; Philimon Gona; Teresita Gonzalez de Cosio; Dinorah González-Castell; Carolyn C Gotay; Atsushi Goto; Hebe N Gouda; Richard L Guerrant; Harish C Gugnani; Francis Guillemin; David Gunnell; Rahul Gupta; Rajeev Gupta; Reyna A Gutiérrez; Nima Hafezi-Nejad; Holly Hagan; Maria Hagstromer; Yara A Halasa; Randah R Hamadeh; Mouhanad Hammami; Graeme J Hankey; Yuantao Hao; Hilda L Harb; Tilahun Nigatu Haregu; Josep Maria Haro; Rasmus Havmoeller; Simon I Hay; Mohammad T Hedayati; Ileana B Heredia-Pi; Lucia Hernandez; Kyle R Heuton; Pouria Heydarpour; Martha Hijar; Hans W Hoek; Howard J Hoffman; John C Hornberger; H Dean Hosgood; Damian G Hoy; Mohamed Hsairi; Guoqing Hu; Howard Hu; Cheng Huang; John J Huang; Bryan J Hubbell; Laetitia Huiart; Abdullatif Husseini; Marissa L Iannarone; Kim M Iburg; Bulat T Idrisov; Nayu Ikeda; Kaire Innos; Manami Inoue; Farhad Islami; Samaya Ismayilova; Kathryn H Jacobsen; Henrica A Jansen; Deborah L Jarvis; Simerjot K Jassal; Alejandra Jauregui; Sudha Jayaraman; Panniyammakal Jeemon; Paul N Jensen; Vivekanand Jha; Fan Jiang; Guohong Jiang; Ying Jiang; Jost B Jonas; Knud Juel; Haidong Kan; Sidibe S Kany Roseline; Nadim E Karam; André Karch; Corine K Karema; Ganesan Karthikeyan; Anil Kaul; Norito Kawakami; Dhruv S Kazi; Andrew H Kemp; Andre P Kengne; Andre Keren; Yousef S Khader; Shams Eldin Ali Hassan Khalifa; Ejaz A Khan; Young-Ho Khang; Shahab Khatibzadeh; Irma Khonelidze; Christian Kieling; Daniel Kim; Sungroul Kim; Yunjin Kim; Ruth W Kimokoti; Yohannes Kinfu; Jonas M Kinge; Brett M Kissela; Miia Kivipelto; Luke D Knibbs; Ann Kristin Knudsen; Yoshihiro Kokubo; M Rifat Kose; Soewarta Kosen; Alexander Kraemer; Michael Kravchenko; Sanjay Krishnaswami; Hans Kromhout; Tiffany Ku; Barthelemy Kuate Defo; Burcu Kucuk Bicer; Ernst J Kuipers; Chanda Kulkarni; Veena S Kulkarni; G Anil Kumar; Gene F Kwan; Taavi Lai; Arjun Lakshmana Balaji; Ratilal Lalloo; Tea Lallukka; Hilton Lam; Qing Lan; Van C Lansingh; Heidi J Larson; Anders Larsson; Dennis O Laryea; Pablo M Lavados; Alicia E Lawrynowicz; Janet L Leasher; Jong-Tae Lee; James Leigh; Ricky Leung; Miriam Levi; Yichong Li; Yongmei Li; Juan Liang; Xiaofeng Liang; Stephen S Lim; M Patrice Lindsay; Steven E Lipshultz; Shiwei Liu; Yang Liu; Belinda K Lloyd; Giancarlo Logroscino; Stephanie J London; Nancy Lopez; Joannie Lortet-Tieulent; Paulo A Lotufo; Rafael Lozano; Raimundas Lunevicius; Jixiang Ma; Stefan Ma; Vasco M P Machado; Michael F MacIntyre; Carlos Magis-Rodriguez; Abbas A Mahdi; Marek Majdan; Reza Malekzadeh; Srikanth Mangalam; Christopher C Mapoma; Marape Marape; Wagner Marcenes; David J Margolis; Christopher Margono; Guy B Marks; Randall V Martin; Melvin B Marzan; Mohammad T Mashal; Felix Masiye; Amanda J Mason-Jones; Kunihiro Matsushita; Richard Matzopoulos; Bongani M Mayosi; Tasara T Mazorodze; Abigail C McKay; Martin McKee; Abigail McLain; Peter A Meaney; Catalina Medina; Man Mohan Mehndiratta; Fabiola Mejia-Rodriguez; Wubegzier Mekonnen; Yohannes A Melaku; Michele Meltzer; Ziad A Memish; Walter Mendoza; George A Mensah; Atte Meretoja; Francis Apolinary Mhimbira; Renata Micha; Ted R Miller; Edward J Mills; Awoke Misganaw; Santosh Mishra; Norlinah Mohamed Ibrahim; Karzan A Mohammad; Ali H Mokdad; Glen L Mola; Lorenzo Monasta; Julio C Montañez Hernandez; Marcella Montico; Ami R Moore; Lidia Morawska; Rintaro Mori; Joanna Moschandreas; Wilkister N Moturi; Dariush Mozaffarian; Ulrich O Mueller; Mitsuru Mukaigawara; Erin C Mullany; Kinnari S Murthy; Mohsen Naghavi; Ziad Nahas; Aliya Naheed; Kovin S Naidoo; Luigi Naldi; Devina Nand; Vinay Nangia; K M Venkat Narayan; Denis Nash; Bruce Neal; Chakib Nejjari; Sudan P Neupane; Charles R Newton; Frida N Ngalesoni; Jean de Dieu Ngirabega; Grant Nguyen; Nhung T Nguyen; Mark J Nieuwenhuijsen; Muhammad I Nisar; José R Nogueira; Joan M Nolla; Sandra Nolte; Ole F Norheim; Rosana E Norman; Bo Norrving; Luke Nyakarahuka; In-Hwan Oh; Takayoshi Ohkubo; Bolajoko O Olusanya; Saad B Omer; John Nelson Opio; Ricardo Orozco; Rodolfo S Pagcatipunan; Amanda W Pain; Jeyaraj D Pandian; Carlo Irwin A Panelo; Christina Papachristou; Eun-Kee Park; Charles D Parry; Angel J Paternina Caicedo; Scott B Patten; Vinod K Paul; Boris I Pavlin; Neil Pearce; Lilia S Pedraza; Andrea Pedroza; Ljiljana Pejin Stokic; Ayfer Pekericli; David M Pereira; Rogelio Perez-Padilla; Fernando Perez-Ruiz; Norberto Perico; Samuel A L Perry; Aslam Pervaiz; Konrad Pesudovs; Carrie B Peterson; Max Petzold; Michael R Phillips; Hwee Pin Phua; Dietrich Plass; Dan Poenaru; Guilherme V Polanczyk; Suzanne Polinder; Constance D Pond; C Arden Pope; Daniel Pope; Svetlana Popova; Farshad Pourmalek; John Powles; Dorairaj Prabhakaran; Noela M Prasad; Dima M Qato; Amado D Quezada; D Alex A Quistberg; Lionel Racapé; Anwar Rafay; Kazem Rahimi; Vafa Rahimi-Movaghar; Sajjad Ur Rahman; Murugesan Raju; Ivo Rakovac; Saleem M Rana; Mayuree Rao; Homie Razavi; K Srinath Reddy; Amany H Refaat; Jürgen Rehm; Giuseppe Remuzzi; Antonio L Ribeiro; Patricia M Riccio; Lee Richardson; Anne Riederer; Margaret Robinson; Anna Roca; Alina Rodriguez; David Rojas-Rueda; Isabelle Romieu; Luca Ronfani; Robin Room; Nobhojit Roy; George M Ruhago; Lesley Rushton; Nsanzimana Sabin; Ralph L Sacco; Sukanta Saha; Ramesh Sahathevan; Mohammad Ali Sahraian; Joshua A Salomon; Deborah Salvo; Uchechukwu K Sampson; Juan R Sanabria; Luz Maria Sanchez; Tania G Sánchez-Pimienta; Lidia Sanchez-Riera; Logan Sandar; Itamar S Santos; Amir Sapkota; Maheswar Satpathy; James E Saunders; Monika Sawhney; Mete I Saylan; Peter Scarborough; Jürgen C Schmidt; Ione J C Schneider; Ben Schöttker; David C Schwebel; James G Scott; Soraya Seedat; Sadaf G Sepanlou; Berrin Serdar; Edson E Servan-Mori; Gavin Shaddick; Saeid Shahraz; Teresa Shamah Levy; Siyi Shangguan; Jun She; Sara Sheikhbahaei; Kenji Shibuya; Hwashin H Shin; Yukito Shinohara; Rahman Shiri; Kawkab Shishani; Ivy Shiue; Inga D Sigfusdottir; Donald H Silberberg; Edgar P Simard; Shireen Sindi; Abhishek Singh; Gitanjali M Singh; Jasvinder A Singh; Vegard Skirbekk; Karen Sliwa; Michael Soljak; Samir Soneji; Kjetil Søreide; Sergey Soshnikov; Luciano A Sposato; Chandrashekhar T Sreeramareddy; Nicolas J C Stapelberg; Vasiliki Stathopoulou; Nadine Steckling; Dan J Stein; Murray B Stein; Natalie Stephens; Heidi Stöckl; Kurt Straif; Konstantinos Stroumpoulis; Lela Sturua; Bruno F Sunguya; Soumya Swaminathan; Mamta Swaroop; Bryan L Sykes; Karen M Tabb; Ken Takahashi; Roberto T Talongwa; Nikhil Tandon; David Tanne; Marcel Tanner; Mohammad Tavakkoli; Braden J Te Ao; Carolina M Teixeira; Martha M Téllez Rojo; Abdullah S Terkawi; José Luis Texcalac-Sangrador; Sarah V Thackway; Blake Thomson; Andrew L Thorne-Lyman; Amanda G Thrift; George D Thurston; Taavi Tillmann; Myriam Tobollik; Marcello Tonelli; Fotis Topouzis; Jeffrey A Towbin; Hideaki Toyoshima; Jefferson Traebert; Bach X Tran; Leonardo Trasande; Matias Trillini; Ulises Trujillo; Zacharie Tsala Dimbuene; Miltiadis Tsilimbaris; Emin Murat Tuzcu; Uche S Uchendu; Kingsley N Ukwaja; Selen B Uzun; Steven van de Vijver; Rita Van Dingenen; Coen H van Gool; Jim van Os; Yuri Y Varakin; Tommi J Vasankari; Ana Maria N Vasconcelos; Monica S Vavilala; Lennert J Veerman; Gustavo Velasquez-Melendez; N Venketasubramanian; Lakshmi Vijayakumar; Salvador Villalpando; Francesco S Violante; Vasiliy Victorovich Vlassov; Stein Emil Vollset; Gregory R Wagner; Stephen G Waller; Mitchell T Wallin; Xia Wan; Haidong Wang; JianLi Wang; Linhong Wang; Wenzhi Wang; Yanping Wang; Tati S Warouw; Charlotte H Watts; Scott Weichenthal; Elisabete Weiderpass; Robert G Weintraub; Andrea Werdecker; K Ryan Wessells; Ronny Westerman; Harvey A Whiteford; James D Wilkinson; Hywel C Williams; Thomas N Williams; Solomon M Woldeyohannes; Charles D A Wolfe; John Q Wong; Anthony D Woolf; Jonathan L Wright; Brittany Wurtz; Gelin Xu; Lijing L Yan; Gonghuan Yang; Yuichiro Yano; Pengpeng Ye; Muluken Yenesew; Gökalp K Yentür; Paul Yip; Naohiro Yonemoto; Seok-Jun Yoon; Mustafa Z Younis; Zourkaleini Younoussi; Chuanhua Yu; Maysaa E Zaki; Yong Zhao; Yingfeng Zheng; Maigeng Zhou; Jun Zhu; Shankuan Zhu; Xiaonong Zou; Joseph R Zunt; Alan D Lopez; Theo Vos; Christopher J Murray
Journal:  Lancet       Date:  2015-09-11       Impact factor: 79.321

10.  Screening for hypertension using emergency department blood pressure measurements can identify patients with undiagnosed hypertension: A systematic review with meta-analysis.

Authors:  Laura C Armitage; Maxine E Whelan; Peter J Watkinson; Andrew J Farmer
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-08-06       Impact factor: 3.738

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