Literature DB >> 31385426

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

Laura C Armitage1, Maxine E Whelan1, Peter J Watkinson2, Andrew J Farmer1.   

Abstract

Hypertension is the leading risk factor for death globally. A significant percentage of patients admitted to hospital have undiagnosed hypertension, yet recognition of elevated blood pressure (BP) in hospital and referral for post-discharge assessment are poor. Physician perception that elevated inhospital BP is attributable to anxiety, pain, or white coat syndrome may underlie an expectation that BP will normalize following discharge. However, these patients frequently remain hypertensive. The authors conducted a systematic review to evaluate the extent to which elevated inhospital BP can predict the presence of hypertension in previously undiagnosed adults. The authors included cohort studies in which hospital patients whose BP exceeded the study threshold underwent further post-discharge BP assessment following discharge. Twelve studies were identified as eligible for inclusion; a total of 2627 participants met review eligibility criteria, and follow-up BP data were available for 1240 (47.2%). Median percentage of patients remaining hypertensive following discharge was 43.6% (range: 14.2-76.5). Across 7 studies which identified people with possible hypertension using an index test threshold of 140/90, the pooled proportion subsequently identified with hypertension at follow-up was 43.4% (95% CI: 25.1%-61.8%). This review indicates that screening for hypertension in the emergency hospital environment consistently identifies groups of patients with undiagnosed hypertension. Unscheduled hospital attendance therefore offers an important public health opportunity to identify patients with undiagnosed hypertension.
© 2019 The Authors. The Journal of Clinical Hypertension published by Wiley Periodicals, Inc.

Entities:  

Keywords:  clinical management of high blood pressure; epidemiology; hypertension-general; treatment and diagnosis/guidelines

Mesh:

Substances:

Year:  2019        PMID: 31385426      PMCID: PMC6771846          DOI: 10.1111/jch.13643

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


INTRODUCTION

Background

Hypertension is the leading risk factor for death1 with 12.8% of annual global mortality attributable to hypertension.2 More than 40 years ago, it was recognized that patients commonly had elevated blood pressure in hospital, but that follow‐up to determine whether they remained hypertensive in the community was poor.3, 4 More recent research suggests that recognition of elevated blood pressure (BP) among patients in hospital continues to be lacking5 and referral for community follow‐up remains poor.6, 7, 8, 9 One reason for this may be the absence of a definition for elevated inhospital BP in the literature and hypertension guidelines. Furthermore, physician perception that elevated inhospital BP is attributable to anxiety,10 pain,11 or white coat syndrome12 may underlie an expectation that elevated BP will normalize following discharge. However, these patients frequently remain hypertensive in the community,13, 14, 15, 16, 17, 18 including when the observed elevated BP occurs in emergency department (ED) triage.19

Importance

Untreated hypertension is associated with a progressive increase in BP that can become treatment‐resistant.20 Therefore, the hospital setting, in which BP is routinely measured, offers an opportunity for diagnostic screening to address this major cause of morbidity and mortality.21 Presently, however, guidance on the management of elevated BP in hospital is confined to the ED setting,22 and there is apparent lack of consensus on management and follow‐up of elevated BP for the inpatient setting. Even in the ED setting, the guidelines draw upon evidence from a limited number of studies which have major limitations such as small or unrepresentative cohorts and the authors of these guidelines recommend further research investigating optimal screening and follow‐up interval.

Goals of this investigation

This systematic review investigates the extent to which elevated inhospital BP measurements can predict the presence of hypertension in adults with no prior hypertensive diagnosis or treatment. The review presents the evidence to date to help inform clinical management of newly detected elevated BP in the hospital setting.

METHODS

The review is reported according to the Preferred Reporting Items for Systematic Review and Meta‐Analysis‐Diagnostic Test Accuracy (PRISMA‐DTA) statement.23 The protocol for this systematic review was prospectively registered on the International Prospective Register of Systematic Reviews (PROSPERO: registration number: CRD42018095400).

Eligibility criteria

Studies relevant to this review were cohort studies in which hospital patients identified with BP exceeding study threshold were followed up post‐discharge for further BP assessment. Eligibility criteria for the participant cohort were as follows: Age ≥18 years No pre‐existing diagnosis of hypertension Attended ED or admitted to hospital Reason for index admission not being one of hypertension or hypertension‐Related end‐organ disease (eg, acute coronary syndrome, acute vascular injury, stroke, or end‐stage renal failure) No BP treatment initiated prior to follow‐up BP assessment Stratified for post‐discharge BP assessment using inhospital BP measurements Not pregnant For inclusion criterion “(ii),” studies were eligible if they included a statement that patients with a history of hypertension and prescribed antihypertensives were excluded. We did not specify the method of exclusion. For inclusion criterion “(v),” studies where all participants were commenced on antihypertensive medications prior to, upon discharge or between discharge and blood pressure follow‐up, were excluded. For studies where some, but not all, participants were started on antihypertensive medications at one of these points, those participants who remained without an antihypertensive prescription at blood pressure follow‐up were included in the meta‐analysis.

Search strategy

MEDLINE, EMBASE, and CINAHL databases were searched from inception to May 2018 for cohort studies meeting the above criteria. Search strategies were developed with a medical librarian. We used key terms relating to hospital patients (emergency department, inpatient, hospitalized), follow‐up (outpatient, home monitor, community), and BP measurements (blood pressure, ambulatory blood pressure monitoring). Where keywords revealed medical subject headings (MeSH) or index terms respective of database, these were included. Reference lists of identified articles were searched for additional titles. Results were limited to studies of adult populations and published journal articles. Studies published in all languages were eligible. Full search strategies are provided in Appendix S1.

Study selection

Two reviewers (LA and MW) independently screened all citations by title and abstract. Any queries or disagreements were adjudicated with a third reviewer (AF). The same reviewers independently screened the full text of selected studies and again any disagreements resolved with the third reviewer. Reference lists of all included full‐text articles were screened by the first author (LA) and full text of relevant citations was screened independently by LA and MW for eligibility.

Data extraction

A custom data extraction form was piloted with one included study, by two reviewers (LA and MW). Data extraction for the remaining studies was then completed independently by both reviewers and compared for consistency. Any disagreements were resolved with a third reviewer (AF). Authors were contacted for information required but not available in published articles. Study characteristics included country, study design, participant characteristics, and sample size. Data related to the index and follow‐up BP assessment included sphygmomanometer type, BP threshold for the index and follow‐up assessments, follow‐up interval, and setting. The following outcome data were extracted for each study: Number of patients in each cohort study eligible for inclusion in this review, defined as number of patients in the cohort who (i) had no prior diagnosis of hypertension and (ii) were not prescribed antihypertensive medication prior to follow‐up. Number of patients for whom follow‐up BP data were available. Number of those diagnosed with hypertension at follow‐up Number of those with hypertension at follow‐up who commenced treatment. The percentage diagnosed with hypertension at follow‐up was calculated on a per‐protocol basis from items 2 and 3. The pooled value for the proportion of individuals subsequently identified with hypertension at a common index threshold of 140/90 mm Hg was calculated using a random effects model in Stata (Version 11.2). Confidence intervals and overall effect size were calculated using the “metaprop” command. Heterogeneity was estimated using the I2 statistic (range: 0%‐100%). We investigated for trends in percentage of patients with hypertension at follow‐up against index BP threshold, BP data against which the index threshold was applied and method of follow‐up BP assessment.

Risk of bias assessment in individual studies

Two reviewers (LA and MW) independently assessed the quality of manuscripts using approaches recommended in the Newcastle‐Ottawa Scale assessment tool.24 The main criteria were as follows: (a) representativeness of cohort; (b) ascertainment of "exposure" (elevated inhospital BP); (c) independent or blind assessment of outcome; (d) demonstration that the outcome of interest (hypertension diagnosis) was not present at study start; (e) suitable follow‐up period; and (f) adequacy of follow‐up. According to our predefined inclusion criteria, studies were eligible if they made an explicit statement that patients were screened to ensure the outcome of interest (diagnosis of hypertension) was not present at the start of the study. We did not assess the accuracy of screening for pre‐existing hypertension as part of the risk of bias assessment; this would not be possible without knowledge of specific study audit practice. None of the 12 included studies had a "non‐exposed" comparator group and so were not assessed against comparability items of the Newcastle‐Ottawa Scale. Further details outlining the method of assessing risk of bias are provided in Appendix S2. Publication bias could not be assessed owing to lack of comparator groups in the included studies.

RESULTS

The initial electronic database search returned 4923 citations. A further 2 studies were identified from reference lists of identified articles (Figure 1). After removal of duplicates, 3993 citations were screened by title and abstract. Full texts of 43 (1.1%) articles considered potentially eligible were reviewed. Of these, 12 (27.9%) citations met inclusion criteria. Reasons for exclusion are presented; notably, a single study was excluded as only 1/146 study participants met eligibility criteria for this review.25 Across the 12 included studies, 2627 participants met eligibility criteria for this review. Follow‐up BP data were available for 1239 (47.2%) participants.
Figure 1

The PRISMA flowchart of the study selection

The PRISMA flowchart of the study selection Study characteristics are presented in Table 1. The lowest mean age of a patient cohort was 43.9 years,26 and highest mean age was 60.1 years.27 Mean age was neither reported nor available from authors for 3 studies.10, 28, 29 In all studies, identification of eligible patients and study recruitment took place in the ED; no studies recruited patients from an inpatient setting.
Table 1

Study characteristics

Authors, yearCountryStudy designParticipant characteristics at recruitmentEligibility BP threshold (mm Hg)Eligible cohort sample sizeNumber with follow‐up data
Mean age (SD where available)Ethnicity (%)Male (%)
Chernow et al, 1987USAProspective cohort49White8152.3

>159 systolic or

>94 diastolic

6868
Hispanic17
Black1
Other1
Slater et al, 1987UKProspective cohortn/an/an/aSingle diastolic reading >956053
Backer et al, 2003USAProspective cohort47n/a53.6

≥140 systolic or

≥90 diastolic

405266
Dieterle et al, 2004SwitzerlandProspective cohort60.1 (19.9)n/a68.3

≥160 systolic and

≥100 diastolic

4541
Fleming et al, 2005UKProspectiven/an/a54.9

≥140 systolic or

≥90 diastolic

12651
Karras et al, 2005USAProspective cross‐sectional51.9White11.353.7

≥140 systolic or

≥90 diastolic

34649
Hispanic21.7
Black63.1
Other2.6
Tanabe et al, 2008USAProspective cohortn/aa White62.248.1

≥140 systolic or

≥90 diastolic

189156
Black33.3
Asian1.2
Other3.1
Svenson et al, 2008USAProspective cohort

n/a

n/an/a

≥140 systolic or

≥90 diastolic

40539
Julliard et al, 2012USAProspective cohort43.9n/a67.2

Stage 1 HTN >140 systolic or

≥90 diastolic

or Stage 2 HTN

≥160 systolic or

≥100 diastolic

19717
Tsoi et al, 2012Hong KongProspective cross‐sectional

52

(15)

Chinese10056.6

systolic >140 and <180

or

diastolic >90 and <120

245136
Dolatabadi et al, 2014IranProspective cross‐sectional46.7 (12.4)n/a65.9

≥140 systolic or

≥90 diastolic

346168
Shiber‐Ofer et al, 2015IsraelProspective cohort49.7(12.7)n/a52.3

≥140 systolic or

≥90 diastolic

195195
TOTAL26271239

Abbreviations: BP, blood pressure; n/a, data not available; SD, standard deviation; UK, United Kingdom; USA, United States of America.

Unknown for whole cohort. Mean age for those with normal and high blood pressure at follow‐up was 44 and 51 y, respectively. All figures given to 1 decimal place where available.

Study characteristics >159 systolic or >94 diastolic ≥140 systolic or ≥90 diastolic ≥160 systolic and ≥100 diastolic ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic n/a ≥140 systolic or ≥90 diastolic Stage 1 HTN >140 systolic or ≥90 diastolic or Stage 2 HTN ≥160 systolic or ≥100 diastolic 52 (15) systolic >140 and <180 or diastolic >90 and <120 ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic Abbreviations: BP, blood pressure; n/a, data not available; SD, standard deviation; UK, United Kingdom; USA, United States of America. Unknown for whole cohort. Mean age for those with normal and high blood pressure at follow‐up was 44 and 51 y, respectively. All figures given to 1 decimal place where available. Of the 12 included studies, 6 were conducted in the United States, 2 in the United Kingdom, and 1 in each of Switzerland, Hong Kong, Israel, and Iran. Three studies reported data on ethnicity,10, 30, 31 and authors of 1 study provided data on ethnicity.32

Risk of bias

The risk of bias assessment for all studies is demonstrated in Table 2. Cohorts in eleven of the 12 studies were deemed truly representative of the average in the community; one study excluded patients with an arm circumference <19 cm or >45 cm and was therefore considered somewhat representative.33 Overall, 3 studies were considered at low risk of bias,10, 34, 35 1 at intermediate risk of bias,27 and 8 at high risk of bias.19, 26, 28, 29, 30, 31, 32, 33 One study screened patients for a pre‐existing diagnosis of hypertension through review of medical records, blood pressure measurements of previous hospital attendance, and prescription records34; 4 studies screened through a review of notes and patient self‐report11, 19, 30, 31; 2 studies screened through review of medical records only27, 28; 1 study screened through patient self‐report only33; and 4 studies did not report how patients were screened for a pre‐existing diagnosis of, or medication prescription for, hypertension.26, 32, 35, 36
Table 2

Quality assessment

Author, yearRepresentativeness of cohortAscertainment of "exposure"Demonstration that outcome of interest not present at startIndependent assessment of outcomeSuitable follow‐up periodAdequacy of cohort follow‐upConclusions
Chernow et al, 1987      High
Slater et al, 1987    n/a Intermediate
Backer et al, 2003      High
Dieterle et al, 2004      Low
Fleming et al, 2005      High
Karras et al, 2005      High
Tanabe et al, 2008      Low
Svenson et al, 2008      High
Julliard et al, 2012      High
Tsoi et al, 2012      High
Dolatabadi et al, 2014      High
Shiber‐Ofer et al, 2015      Low

n/a = data not available (assessment not possible).

Quality assessment n/a = data not available (assessment not possible).

Blood pressure thresholds used for index and follow‐up assessment

Details of index and follow‐up BP assessments for each study are shown in Table 3. The location of index BP testing was the ED in all studies. The most common index BP threshold utilized was ≥140 mm Hg systolic or ≥90 mm Hg diastolic (also the lowest threshold).10, 19, 26, 28, 29, 31, 32, 33, 34 No studies were identified in which separate index BP thresholds were applied for night versus daytime. The method of index BP assessment varied between studies, from a single measurement,31 to half or more of all ED triage measurements required to exceed the index threshold.26 The most common method of BP assessment at follow‐up was clinician‐measured BP in either primary26, 27, 31, 32, 34, 35 or secondary19, 28, 30, 33 care clinics. One study used patient‐performed home BP monitoring.10 Two studies collected daytime ambulatory BP monitoring data where possible.34, 35
Table 3

Index test and reference standard tests

Authors, yearIndex testReference test
Sphygmomanometer typeBlood pressure thresholdBP measurements evaluated against thresholdFollow‐up intervalSphygmomanometer typeBlood pressure thresholdBP measurements evaluated against reference thresholdFollow‐up blood pressure measurement setting
Chernow et al, 1987Mercury

>159 systolic or

>94 diastolic

Triage and discharge measurements≤6 wkn/a≥140 systolic or >90 diastolicOffice BPOutpatient clinic (patient self‐report of this)
Slater et al, 1987n/aSingle diastolic reading >95Single measurementn/an/an/aOffice BPPrimary care
Backer et al, 2003Automated

≥140 systolic or

≥90 diastolic

First measurement≤6 mon/a≥140 systolic or ≥90 diastolicMaximum of 2 office BP measurementsOutpatient clinic
Dieterle et al, 2004Mercury

≥165 systolic and

≥105 diastolic

Mean ABPM taken at 5‐min intervals between 60 and 80 min after entry to ED.1 wkAutomated ABPM or n/a

ABPM: ≥135 systolic or ≥85 diastolic

Office BP: ≥140 systolic or ≥90 diastolic

12 h of ABPM at 20 min intervals

or

office BP in primary care

ABPM or primary care
Fleming et al, 2005Mercury

≥140 systolic or

≥90 diastolic

Mean of 2 measurements taken 2 min apart12.4 d (5‐23)Mercury≥140 systolic or ≥90 diastolicLast of 3 office BPs taken 2 min apartNon‐acute ED
Karras et al, 2005Variable

≥140 systolic or

≥90 diastolic

Single measurement≤3 wkn/an/aOffice BPPrimary care
Tanabe et al, 2008n/a

≥140 systolic or

≥90 diastolic

2 consecutive measurements1 wk a Automated

≥140 systolic

or

≥90 diastolic

(≥130 systolic

or

≥80 diastolic if DM)

Mean home BP (after excluding highest and lowest readings)HBPM: 2 measurements per day
Svenson et al, 2008n/a

≥140 systolic or

≥90 diastolic

Last recorded measurement≤4 mon/an/aOffice BPOutpatient clinic
Julliard et al, 2012n/a

Stage 1 HTN >140 systolic or

≥90 diastolic

or Stage 2 HTN

≥160 systolic or

≥100 diastolic

Half or more of all (maximum 5) triage blood pressure measurements≤3 mon/an/a, based on diagnostic code in medical recordOffice BPPrimary care
Tsoi et al, 2012n/a

systolic >140 and <180

or

diastolic >90 and <120

Triage and discharge measurements≤2 wkn/an/aOffice BPPrimary care
Dolatabadi et al, 2014Mercury

≥140 systolic or

≥90 diastolic

2 consecutive measurements taken 10 min apart1 moMercury

≥140 systolic

or

≥90 diastolic

Office BPOutpatient clinic
Shiber‐Ofer et al, 2015Automated

≥140 systolic or

≥90 diastolic

2 consecutive measurements taken 5 min apart30.14 mo (±15.96)Automated ABPM or n/aOffice BP values>/‐140/90, mean ABPM >135/85 or antihypertensive medications commencedABPM or office BPPrimary care or outpatient clinic

Abbreviations: ABPM, ambulatory blood pressure monitoring; BP, blood pressure; d, days; HBPM, home blood pressure monitoring; mo, months; n/a, data not available; wk, weeks.

Blood pressure was monitored at home for 1 wk.

Index test and reference standard tests >159 systolic or >94 diastolic ≥140 systolic or ≥90 diastolic ≥165 systolic and ≥105 diastolic ABPM: ≥135 systolic or ≥85 diastolic Office BP: ≥140 systolic or ≥90 diastolic 12 h of ABPM at 20 min intervals or office BP in primary care ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic (≥130 systolic or ≥80 diastolic if DM) ≥140 systolic or ≥90 diastolic Stage 1 HTN >140 systolic or ≥90 diastolic or Stage 2 HTN ≥160 systolic or ≥100 diastolic systolic >140 and <180 or diastolic >90 and <120 ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic Abbreviations: ABPM, ambulatory blood pressure monitoring; BP, blood pressure; d, days; HBPM, home blood pressure monitoring; mo, months; n/a, data not available; wk, weeks. Blood pressure was monitored at home for 1 wk. Post‐discharge follow‐up intervals ranged from 1 week10, 35 to 30.14 (±15.96) months.34 Median time to follow‐up was 1 month. Six studies (50%) reported the blood pressure follow‐up interval as the maximal time period to follow‐up among all participants.19, 26, 28, 30, 31, 32 Nine studies (75%) performed follow‐up by prospective review of patient notes (record linkage).19, 26, 27, 28, 29, 33, 34, 35 Three studies (25%) had notably low rates of available follow‐up BP data (<20%).26, 28, 31

Proportion of patients identified as hypertensive at follow‐up

The principal diagnostic accuracy measure reported by studies was the number of patients recorded as having elevated BP (as defined by the study's diagnostic threshold for hypertension) or a recorded diagnosis of hypertension at follow‐up. Outcome data for all studies are displayed in Table 4. The median percentage of patients identified as hypertensive at follow‐up was 43.6% (range: 14.2‐76.5). Across the 7 studies which used a common index BP threshold of 140/90, the pooled proportion of people identified with hypertension at follow‐up was 43.4% (95% CI: 25.1%‐61.8%; Figure 2). The I2 measure of heterogeneity between studies was high, at 97.3% (P < .001).
Table 4

Follow‐up outcome data

Author, yearIndex blood pressure thresholdEligible cohort numberNumber (%) with available follow‐up blood pressureNumber (%) of those with elevated follow‐up BPPercentage (n) commenced on treatment at follow‐up
Chernow et al, 1987

>159 systolic or

>94 diastolic

6868 (100)42 (62)43 (18) a
Slater et al, 1987Single diastolic reading >956053 (88)15 (28)93.3 (14)
Backer et al, 2003

≥140 systolic or

≥90 diastolic

405266 (67)66 (25)n/a
Dieterle et al, 2004

≥165 systolic and

≥105 diastolic

4541 (91)26 (63)n/a
Fleming et al, 2005

≥140 systolic or

≥90 diastolic

12651 (40)39 (76)n/a
Karras et al, 2005

≥140 systolic or

≥90 diastolic

34649 (14)7 (14)n/a
Tanabe et al, 2008

≥140 systolic or

≥90 diastolic

189156 (83)79 (51)n/a
Svenson et al, 2008

≥140 systolic or

≥90 diastolic

40539 (10)17 (44)n/a
Julliard et al, 2012

Stage 1 HTN >140 systolic or

≥90 diastolic

or Stage 2 HTN

≥160 systolic or

≥100 diastolic

19717 (9)5 (29)40 (2)
Tsoi et al, 2012

systolic >140 and <180

or

diastolic >90 and <120

245136 (56)48 (35)91.7 (44)
Dolatabadi et al, 2014

≥140 systolic or

≥90 diastolic

346168 (49)48 (29)n/a b
Shiber‐Ofer et al, 2015

≥140 systolic or

≥90 diastolic

195195 (100)142 (73)91.5 (130)

Abbreviations: BP, blood pressure; HTN, hypertension; n/a, not applicable.

Article states all 48 participants identified as hypertensive at follow‐up were referred to an internist for treatment.

Treatment included either starting medication, dietary changes, or initiating a "hypertension workup".

Figure 2

Forest plot demonstrating the pooled proportion of people across the seven studies who were identified with possible hypertension at the index test using a detection threshold of 140/90 and who were subsequently identified with hypertension

Follow‐up outcome data >159 systolic or >94 diastolic ≥140 systolic or ≥90 diastolic ≥165 systolic and ≥105 diastolic ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic Stage 1 HTN >140 systolic or ≥90 diastolic or Stage 2 HTN ≥160 systolic or ≥100 diastolic systolic >140 and <180 or diastolic >90 and <120 ≥140 systolic or ≥90 diastolic ≥140 systolic or ≥90 diastolic Abbreviations: BP, blood pressure; HTN, hypertension; n/a, not applicable. Article states all 48 participants identified as hypertensive at follow‐up were referred to an internist for treatment. Treatment included either starting medication, dietary changes, or initiating a "hypertension workup". Forest plot demonstrating the pooled proportion of people across the seven studies who were identified with possible hypertension at the index test using a detection threshold of 140/90 and who were subsequently identified with hypertension There were no trends in the proportion of participants identified as having hypertension at follow‐up when studies were compared on index BP threshold, BP data against which the threshold was applied, or method of outcome assessment (self‐report, record linkage, or independent BP assessment; see Table S1‐S3). It was not possible to perform statistical analysis of outcome measure according to ethnicity, owing to small sample sizes and small number of studies reporting ethnicity. However, it was noted that the two studies in which the majority of the cohort were white, reported follow‐up hypertension rates of 50.6%10 and 62%30 and those studies in which the majority of the cohort were of a non‐white ethnic group reported lower follow‐up hypertension rates of 14.3%31 and 35.3%.32

DISCUSSION

Summary of evidence

This review of diagnostic studies aimed to evaluate the extent to which elevated inhospital BP measurements can predict the presence of undiagnosed hypertension. We identified twelve studies which investigated this question within the emergency department population, but none in the inpatient population. The lowest index BP threshold identified among these studies was 140 mm Hg systolic or 90 mm Hg diastolic. All studies identified a proportion of patients with hypertension at follow‐up; excluding studies with <20% follow‐up, post‐discharge diagnosis of hypertension occurred in around 25% or more participants. Among studies assessed as being at low risk of bias, post‐discharge diagnosis of hypertension occurred in over 50% of participants (range: 50.6%7‐72.3%34). This consistent identification of undiagnosed hypertensive patients demonstrates the potential clinical benefit of utilizing hospital attendance to screen for undiagnosed hypertension. Despite consistent identification of people with hypertension among the included studies, there was marked variability in reported prevalence between studies (range: 14.3%‐76.5%; 24.8%‐76.5% when low follow‐up rate studies are excluded). Variability could not be accounted for by index BP threshold, BP measurements against which index thresholds were applied, or method of follow‐up BP assessment (Tables S1‐S3). It is possible this variability is attributable to heterogeneity between studies including cohort demographics and methodology (eg, index and follow‐up BP assessments, and follow‐up interval). All studies performed index BP assessments in the ED, with no studies utilizing inpatient hospital data. This may, in part, explain the lack of guidance on the management of inpatient hypertension. Of the 12 studies, 11 used routinely collected BP measurements from ED to identify potential participants.7, 19, 26, 27, 28, 30, 31, 32, 33, 35 Six used these measurements for the index BP assessment,19, 26, 27, 28, 31, 32 while five reassessed BP through additional measurements in ED.7, 30, 33, 34, 35 One study did not use routinely collected BP for screening and performed BP screening measurements independent of usual observations made in ED.29 Most studies used international thresholds (≥140 mm Hg systolic or ≥90 mm Hg diastolic) to diagnose hypertension at follow‐up. However, follow‐up methodology varied by setting (home, ambulatory, or office), method of BP data collection (record linkage, participant self‐report, measured by research personnel), and follow‐up interval. While recent American guidelines for hypertension present values of equivalence according to setting, the varying methods of BP follow‐up seen in the included studies mean some caution are required in comparing proportions of patients subsequently diagnosed with hypertension between these studies. It has been reported previously that referral for follow‐up assessment of patients identified with elevated inhospital BP is lacking.21 Underlying reasons may include physician perceptions regarding causes of elevated inhospital BP11 and the lack of evidence on further management of elevated inhospital BP in the nonemergency setting.20, 37, 38 Our review highlights the need for research to be undertaken on patients with inhospital hypertension.

Strengths and limitations at study and outcome level

This review of diagnostic studies is limited by studies either not collecting or reporting data which could be used to calculate sensitivity and specificity for index BP thresholds. In addition, interpretation of the pooled analysis of proportions among the 7 studies sharing a common index BP threshold is necessarily cautious due to heterogeneity between these studies. Some of this heterogeneity will result from fundamental differences in study design between the included studies. Therefore, questions remain regarding the appropriately sensitive and specific inhospital BP thresholds against which patients may be screened for undiagnosed hypertension. Additional high‐quality research is needed in this field to establish the optimal methodology for index BP assessment, including index BP threshold. Differences between reference standard tests for hypertension between the studies also limit the comparability of results, and most studies did not use ambulatory blood pressure monitoring for the reference standard. Though this may be considered the gold standard method, recently published guidelines and the wider literature appear to be steering away from the requirement of ambulatory monitoring for a diagnosis of hypertension.37, 39 However, the methods of blood pressure measurement seen in the included studies may reflect "real world" rather than "gold standard" practice. As a result, interpretations of these results may still be meaningful in normal clinical practice.

Strengths and limitations at review level

This review was conducted according to the registered PROSPERO protocol.40 Studies of all languages were eligible, and included studies were conducted in a variety of countries. Databases were searched from inception, adding to the comprehensive nature of the review; publication dates ranged from 1987 to 2016. However, inclusion of older studies meant authors could not be contacted to obtain older data or that data had sometimes been destroyed. Risk of bias was assessed using a well‐established tool for cohort studies; however, the applicability of a formal assessment of bias in the context of single‐group observational studies is limited. The high degree of heterogeneity between studies means our estimate of the overall incidence of community hypertension following raised emergency department readings should be interpreted cautiously. Meta‐regression or subgroup analysis for sources of heterogeneity would not have been appropriate owing to small number of studies and all studies differing from each other on more than one point of methodology. However, all studies showed a substantial incidence of hypertension in the community once it had been identified in the emergency department setting.

CONCLUSIONS

This review of 12 studies has demonstrated that hypertension screening in the acute hospital setting consistently identifies groups of patients with undiagnosed hypertension. Unscheduled hospital attendance therefore offers an important public health opportunity to identify patients with undiagnosed hypertension and has potential to reduce patient burden attributed to the major morbidities and mortality associated with hypertension. However, we were unable to identify any studies of hospital inpatients and found notable differences in reported rates of hypertension at follow‐up, likely due to marked variation in methodology. This highlights the need for further research involving hospital inpatients and a consistent and systematic methodology for screening and follow‐up assessment.

CONFLICT OF INTEREST

None to declare.

AUTHOR CONTRIBUTIONS

AF, LA, and PW designed the review. LA and AF undertook methodological planning. LA undertook and refined the searches in consultation with a medical librarian. LA and MW performed initial screening and data extraction, and AF and PW gave screening advice where any disagreements arose. AF undertook the meta‐analysis, and all authors contributed to data interpretation. LA led the writing, and all authors contributed to successive drafts and approved the final manuscript. Click here for additional data file.
  37 in total

1.  Detection of hypertension in the emergency department.

Authors:  J Fleming; C Meredith; J Henry
Journal:  Emerg Med J       Date:  2005-09       Impact factor: 2.740

Review 2.  Clinical policy: critical issues in the evaluation and management of adult patients in the emergency department with asymptomatic elevated blood pressure.

Authors:  Stephen J Wolf; Bruce Lo; Richard D Shih; Michael D Smith; Francis M Fesmire
Journal:  Ann Emerg Med       Date:  2013-07       Impact factor: 5.721

3.  Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies: The PRISMA-DTA Statement.

Authors:  Matthew D F McInnes; David Moher; Brett D Thombs; Trevor A McGrath; Patrick M Bossuyt; Tammy Clifford; Jérémie F Cohen; Jonathan J Deeks; Constantine Gatsonis; Lotty Hooft; Harriet A Hunt; Christopher J Hyde; Daniël A Korevaar; Mariska M G Leeflang; Petra Macaskill; Johannes B Reitsma; Rachel Rodin; Anne W S Rutjes; Jean-Paul Salameh; Adrienne Stevens; Yemisi Takwoingi; Marcello Tonelli; Laura Weeks; Penny Whiting; Brian H Willis
Journal:  JAMA       Date:  2018-01-23       Impact factor: 56.272

4.  High prevalence of newly detected hypertension in hospitalized patients: the value of inhospital 24-h blood pressure measurement.

Authors:  David Conen; Benedict Martina; Andre P Perruchoud; Bernd M Leimenstoll
Journal:  J Hypertens       Date:  2006-02       Impact factor: 4.844

5.  Patterns of care for hypertension among hospitalized patients.

Authors:  B S Shankar; R P Russell; J W Southard; E W Schurman
Journal:  Public Health Rep       Date:  1982 Nov-Dec       Impact factor: 2.792

Review 6.  White coat hypertension: relevance to clinical and emergency medical services personnel.

Authors:  Tipu V Khan; Safa Shakir-Shatnawi Khan; Andre Akhondi; Teepu W Khan
Journal:  MedGenMed       Date:  2007-03-13

7.  EUROASPIRE III: a survey on the lifestyle, risk factors and use of cardioprotective drug therapies in coronary patients from 22 European countries.

Authors:  Kornelia Kotseva; David Wood; Guy De Backer; Dirk De Bacquer; Kalevi Pyörälä; Ulrich Keil
Journal:  Eur J Cardiovasc Prev Rehabil       Date:  2009-04

8.  Detection of hypertension in accident and emergency departments.

Authors:  R N Slater; D J DaCruz; L N Jarrett
Journal:  Arch Emerg Med       Date:  1987-03

9.  High blood pressure: why prevention and control are urgent and important: a 2014 fact sheet from the World Hypertension League and the International Society of Hypertension.

Authors:  Norm R C Campbell; Daniel T Lackland; Mark L Niebylski
Journal:  J Clin Hypertens (Greenwich)       Date:  2014-07-17       Impact factor: 3.738

10.  Prospective external validation of the Predicting Out-of-OFfice Blood Pressure (PROOF-BP) strategy for triaging ambulatory monitoring in the diagnosis and management of hypertension: observational cohort study.

Authors:  James P Sheppard; Una Martin; Paramjit Gill; Richard Stevens; Fd Richard Hobbs; Jonathan Mant; Marshall Godwin; Janet Hanley; Brian McKinstry; Martin Myers; David Nunan; Richard J McManus
Journal:  BMJ       Date:  2018-06-27
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  5 in total

1.  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

2.  The last frontier for global non-communicable disease action: The emergency department-A cross-sectional study from East Africa.

Authors:  Christine Ngaruiya; Mbatha Wambua; Thomas Kedera Mutua; Daniel Owambo; Morgan Muchemi; Kipkoech Rop; Kaitlin R Maciejewski; Rebecca Leff; Mugane Mutua; Benjamin Wachira
Journal:  PLoS One       Date:  2021-04-02       Impact factor: 3.240

3.  Assessment of hypertension in kidney transplantation by ambulatory blood pressure monitoring: a systematic review and meta-analysis.

Authors:  Anna Pisano; Francesca Mallamaci; Graziella D'Arrigo; Davide Bolignano; Gregoire Wuerzner; Alberto Ortiz; Michel Burnier; Nada Kanaan; Pantelis Sarafidis; Alexandre Persu; Charles J Ferro; Charalampos Loutradis; Ioannis N Boletis; Gérard London; Jean-Michel Halimi; Bénédicte Sautenet; Patrick Rossignol; Liffert Vogt; Carmine Zoccali
Journal:  Clin Kidney J       Date:  2021-09-23

4.  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

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

Authors:  Adam Mahdi; Laura C Armitage; Lionel Tarassenko; Peter Watkinson
Journal:  Am J Hypertens       Date:  2021-09-22       Impact factor: 2.689

  5 in total

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