Which is preferable for orthostatic hypotension diagnosis in older adults: active standing test or head-up tilt table test?

Abstract

Background

Correct evaluation of orthostatic hypotension (OH) is crucial in geriatric practice, since OH is associated with mortality and morbidity. The study aimed to determine the most appropriate method for measuring blood pressure in transition from supine to upright position in order to diagnose OH in older adults.

Methods

Active standing test (AST) and head-up tilt table (HUT) test as well as comprehensive geriatric assessment (CGA), including mini-mental state examination or the cognitive state test, mini-nutritional assessment, basic and instrumental activities of daily living, and Tinetti performance-oriented mobility assessment indexes, were performed in 290 geriatric patients.

Results

The prevalence of OH during HUT and AST was 19% and 37%, respectively. In patients with OH during HUT, the frequency of dementia and recurrent falls were higher (P<0.05); on the other hand, the levels of serum vitamin D and albumin and estimated glomerular filtration rate were lower (P<0.05). However, all these parameters for OH during AST were not significant (P>0.05). Comparison of the groups according to CGA measurements revealed significant differences in terms of cognition, nutritional status, activities of daily life, and balance function in patients with OH only during HUT (P<0.05), but not during AST (P>0.05). The sensitivity, specificity, positive predictive value, and negative predictive values of AST were 49.0%, 65.5%, 25.0%, and 84.6% respectively, according to HUT.

Conclusion

The results suggest that orthostatic blood pressure changes determined by HUT might be of higher clinical significance than that by AST in older adults. It might be important that the evaluation of OH by HUT should be included in daily geriatric practice.

Introduction

Orthostatic hypotension (OH) is a common clinical problem among older adults, which affects nearly 25%–30% of this population.^1,2 Common comorbidities, such as diabetes mellitus (DM), dehydration, and malnutrition, and frequent use of diuretics, antihypertensive drugs, levodopa, and benzodiazepines might lead to OH³ that may cause dizziness, blackouts, blurred vision, balance impairment, recurrent falls, dyspnea, angina pectoris, paracervical and lumbar pain, weakness, and nausea.^4,5 However, one-third of elderly adults with OH are asymptomatic.⁶ The correct diagnosis of OH in the elderly is of great importance; previous studies demonstrated association of OH with mortality, ischemic stroke, falls, cognitive failure, impaired sleep quality, depression, renal failure, and cognitive impairment in older adults.^2,7–12 Therefore, evaluation of orthostatic blood pressure (BP) changes should be a part of the comprehensive geriatric assessment (CGA).¹³

According to the consensus statement on the detection of OH published in 1996, the diagnosis of OH is made in the event of at least 20 mmHg decrease in systolic blood pressure and/or at least 10 mmHg decrease in diastolic blood pressure within the first 3 min after standing.¹⁴ However, there is no consensus on the optimum method for diagnosis of OH.

Active standing test (AST) has been used in the majority of studies;^15–18 however, many older adults cannot change their positions easily during transition from supine to upright position, because of existing comorbidities and immobility. Therefore, the BP change during the AST may not be evaluated objectively. On the other hand, an acceptable alternative to AST is head-up tilt table (HUT) test, which may be a more convenient method to detect OH in the elderly,¹⁹ but the data are limited.

The aim of this study was to determine the optimum evaluation of measurement of orthostatic BP changes in older adults by comparing the results of AST and HUT.

Patients and methods

Patients

A total of 290 elderly patients, who were admitted to the geriatric clinic in a university hospital between January 2014 and May 2015, were included in this prospective and cross-sectional observational study. In addition to CGA, HUT and AST were performed in those geriatric patients after obtaining their informed written consents.

Inclusion criteria

All patients in the age group of 65 years or older admitted to the geriatric outpatient clinic for any reason were included in the study.

Exclusion criteria

Patients with the following conditions were excluded: severe anemia (<10 g/dL), severe metabolic acidosis, electrolyte imbalance, severe kidney or heart failure, hypotensive shock, coma, severe mitral valve or aortic valve stenosis, tachycardia, severe proximal cerebral artery stenosis, severe coronary artery disease, prior stroke or myocardial infarction in the past 7 days, lower extremity fractures, all of which are the contraindications of HUT, were excluded.²⁰ Additionally, patients who cannot stand up actively by themselves or who were immobile were not included in the study. Consequently, 290 patients were available for study analysis.

BP measurements

AST measurements

The first BP measurement was taken following 5 min of rest at the lying position; afterward the patients were raised upright and the measurement was repeated on the same arm, at the 3rd minute, using a mercury sphygmomanometer with an appropriately sized cuff.¹⁴

HUT measurements

Standardized tilt table was used during HUT (G-71 Tilt table; Gemesan, Istanbul, Turkey). BP measurement was taken following 5 min of rest at the lying position; afterward the patients were raised upright at 60°–80° and the measurement was repeated on the same arm at the 3rd minute using a patient monitor with an appropriately sized cuff (M69S Patient monitor; Biolight, Zhuhai, People’s Republic of China). During HUT, the patients were asked for OH symptoms.¹⁴

OH diagnosis was defined as a drop of at least 20 mmHg in systolic blood pressure and/or 10 mmHg in diastolic blood pressure upon the change in position in both AST and HUT.¹⁴

Comprehensive geriatric assessment

Demographic data (age, gender, and education status) of the patients, history of falls (according to the information obtained from the patient or patient’s relatives, presence of more than one fall not associated with seizure or acute stroke within the past year), and personal history of chronic diseases (hypertension, DM, coronary artery disease, congestive heart failure, peripheral vascular disease, dementia, hyperlipidemia, cerebrovascular disease, depression, polypharmacy, and tobacco use) were questioned in detail. In addition, for each patient, scores of the mini-mental state examination or the cognitive state test,²¹ mini-nutritional assessment, basic and instrumental activities of daily living, and Tinetti performance-oriented mobility assessment indexes were also recorded. Body mass index was calculated as body weight in kilograms divided by the squared value of body height in meters (kg/m²).

Laboratory findings

Certain laboratory tests were performed to assess the biochemical, metabolic, and nutritional status of patients in our geriatric department. Thus, hospital laboratory records were also obtained for complete blood count, kidney and liver functions, cholesterol levels, thyroid-stimulating hormone, glycated hemoglobin, vitamin B12, folic acid, and vitamin D levels. All these biochemical tests were carried out on Diagnostic Modular Systems autoanalyzer (E170 and P800 Diagnostic modular systems; Roche, Basel, Switzerland).

Statistical analysis

Continuous variables were expressed as mean ± standard deviation and evaluated by the Kolmogorov–Smirnov test for normal distribution. Continuous variables with normal distribution were evaluated with independent sample t-test whereas those with abnormal distribution were post hoc evaluated by the Mann–Whitney U test. Differences in proportions were evaluated by the chi-square test and Fisher’s exact test. The differences between dependent categorical variables were evaluated by McNemar’s test. Kappa value was used for consistency. Probabilities <0.05 were considered significant. All statistical analyses were performed using Statistical Package for the Social Sciences (SPSS) 15.0 (SPSS Inc., Chicago, IL, USA). Adequate sample size was calculated (244 patients for 95% confidence interval).

Ethics

The investigation conformed to the Declaration of Helsinki and was approved by the local ethics committee (Dokuz Eylul University Ethics Committee, Izmir, Turkey, 2013/23-08).

Results

The prevalence of OH during HUT and AST was 19% and 37%, respectively. The differences between the groups with and without OH during HUT and AST are demonstrated in Table 1.

Table 1.

Patient characteristics according to HUT and AST

	HUT			AST
	OH(+) n=55 (19%)	OH(−) n=235 (81%)	P-value	OH(+) n=108 (37%)	OH(−) n=182 (63%)	P-value
Age (years)	78.7±8.1	73.9±8.6	<0.001	75.7±8.3	74.2±9	0.167
Sex (female/male), n	30/25	143/92	0.391	58/50	114/68	0.152
BMI (kg/m2)	27.8±5.4	28.4±4.9	0.440	28.2±5.5	28.4±4.8	0.705
Polypharmacy (≥5 drugs) (%)	45.5	34.6	0.133	40.4	34.8	0.342
Number of drugs used	5.2±2.7	4.7±3.0	0.286	5.1±2.9	4.6±2.9	0.151
Recurrent falls (%)	36.4	18.5	0.004	21.7	22	0.947
Comorbidities (%)
Dementia	40	24	0.017	43.6	35.1	0.184
COPD	3.6	11.6	0.078	10.3	10.1	0.951
DM	32.7	24	0.184	32.7	22.3	0.054
Hypertension	67.3	67.7	0.955	70.4	66.1	0.454
CAD	14.5	19.7	0.374	21.5	17.9	0.452
Hyperlipidemia	18.2	18.5	0.952	19.6	18	0.729
CHF	3.6	8.7	0.269	11.2	6.3	0.138
CVD	5.5	5.2	1.0	21.5	17.9	0.452
PVD	1.8	2.2	1.0	0.9	2.8	0.280
Hypothyroidism	10.9	11.6	0.879	11.2	12.3	0.786
Laboratory data
Hemoglobin (g/dL)	13.0±1.6	12.9±1.4	0.696	12.8±1.5	13.1±1.4	0.696
Fasting blood glucose (mg/dL)	111.2±36.3	103.9±30.7	0.141	110±37.7	102.5±27.9	0.063
HbA1c (%)	6.6±1.4	7.0±1.1	0.184	7.2±1.4	6.7±1.0	0.068
Albumin	3.9±0.4	4.1±0.3	0.003	4.0±0.3	4.1±0.3	0.064
LDL-C (mg/dL)	119.6±36.7	130.2±36.3	0.071	124.2±35.8	130.9±37.2	0.151
25(OH)D (ng/mL)	15.4±9.7	20.1±12.2	0.010	17.3±9.9	19.2±10.7	0.162
TSH (µIU/mL)	1.7±1.7	1.5±1.2	0.291	1.6±1.4	1.6±1.3	0.932
Vitamin B12 (pg/mL)	519±300	468.5±254.7	0.210	492.9±272	468.8±262.2	0.463
Folic acid (ng/mL)	9.3±5.9	9.0±4.8	0.722	8.7±5.2	9.4±5.0	0.247
eGFR (mL/min/1.73 m2)	65.8±14	73.7±20.7	0.001	71.1±20.8	73.5±19	0.325

Notes: Data presented as mean ± standard deviation unless stated otherwise. Data in bold indicates statistical significance.

Abbreviations: AST, active standing test; BMI, body mass index; CAD, coronary artery disease; CHF, chronic heart failure; COPD, chronic obstructive pulmonary disease; CVD, cerebrovascular disease; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; HUT, head-up tilt table test; LDL-C, low-density lipoproteins cholesterol; OH, orthostatic hypotension; PVD, peripheral vascular disease; TSH, thyroid-stimulating hormone; 25(OH)D, 25-hydroxyvitamin D.

The frequency of dementia and recurrent falls were higher in the group with OH during HUT (P<0.05). The serum levels of vitamin D and albumin and estimated glomerular filtration rate were lower in those with OH during HUT (P<0.05). It was determined that all these parameters for OH during AST were not significant (P>0.05; Table 1). Comparison of the groups according to CGA measurements revealed no differences in terms of cognition, mood, nutritional status, activities of daily life, and balance function in patients with OH only during AST (P>0.05), whereas the cognitive state test, Tinetti performance-oriented mobility assessment, mini-nutritional assessment, basic activity of daily living, and instrumental activity of daily living were lower in patients with OH during HUT (P<0.05; Table 2).

Table 2.

Comprehensive geriatric assessment measurements according to HUT and AST

	HUT			AST
	OH(+) n=55 (19%)	OH(−) n=235 (81%)	P-value	OH(+) n=108 (37%)	OH(−) n=182 (63%)	P-value
MMSE	22±5.8	23.5±5.6	0.246	23.9±5.9	23.2±5.1	0.520
COST	21.4±6.7	24.2±5.0	0.014	24.5±4.8	23.2±5.9	0.184
YGDS	3.1±3.2	2.6±2.9	0.323	2.7±2.8	2.7±3.2	0.999
POMA-balance	12.2±3.5	13.5±2.7	0.014	13.2±3.2	13.5±2.8	0.384
POMA-gait	9.3±2	10.3±1.6	<0.01	10.1±1.8	10.2±1.7	0.570
BADL	87.0±16	92.2±11.7	0.032	91.2±12.5	91.5±13	0.856
IADL	8.2±5.1	11.9±4.9	<0.01	11±5.3	11.5±5	0.429
MNA	10.4±2.9	11.4±2.0	0.001	11.3±2.4	11.2±2.2	0.552

Notes: Data presented as mean ± standard deviation. Data in bold indicates statistical significance.

Abbreviations: AST, active standing test; BADL, basic activity of daily living (0 [worst]–100 [best]); COST, cognitive state test (0 [worst]–30 [best]); HUT, head-up tilt table test; IADL, instrumental activity of daily living (0 [worst]–23 [best]); MMSE, mini-mental state examination (0 [worst]–30 [best]); MNA, mini nutritional assessment (0 [worst]–14 [best]); POMA, Tinetti performance-oriented mobility assessment (balance score (0 [worst]–16 [best]) and gait score (0 [worst]–12 [best]); YGDS, Yesavage geriatric depression score (15 [worst]–0 [best]).

The AST had a specificity of 65.5% and a sensitivity of 49.0% for identifying OH according to HUT. The positive predictive value and negative predictive value of AST were 25% and 84.6%, respectively.

Discussion

Orthostatic BP changes determined by HUT might be of higher clinical significance than those determined by AST in older adults. It might be important that the evaluation of OH by HUT should be included in daily geriatric practice.

OH is a major geriatric syndrome, but it may be overlooked despite numerous complications such as mortality, ischemic stroke, falls, cognitive deficit, depression, and sleep disorders.^12,22–25 Therefore, accurate diagnosis of OH is crucial in older adults. The prevalence of OH, which is reported as 9.5%–37% by AST and 21%–51% by HUT in the current literature, varies according to the method used and patients’ characteristics.^19,26–31 However, in most of these studies, the prevalence was obtained by using either AST or HUT. Only two studies in the literature have compared AST and HUT as a method in the same sample of patients.^19,32 Although Faraji et al obtained twofold higher OH prevalance during HUT than AST, the retrospective nature of the study, the lack of methods following one after another (AST and HUT), and extending HUT to the 40th minute may lead to different outcomes.³² Cooke et al retrospectively evaluated the cases between the age of 22 and 93 years,¹⁹ whereas in the present study, only older adults were included and revealed two different prevalances by two different methods in the same sample of patients. Furthermore, Rickards et al compared HUT with the squat-stand test and emphasized that active joint and muscle movements induce vasoconstriction in the blood vessels, causing an increase in transient ischemia and vasoactive metabolites in the muscles, which reduce venous return with compensatory vasodilatation in the lower extremity, resulting in more BP drop at baseline compared to HUT.³³ The effort exerted by a number of older adults during transition from supine to upright position due to existing comorbidities and immobility may reduce venous return with similar mechanisms. Physiopathologic changes such as aging-induced decreased baroreflex sensitivity and renin angiotensin aldosterone levels may also have been associated with more OH prevalence for AST than HUT.^34,35

Previous studies reported that OH might be associated with age, cognitive decline, malnutrition, renal failure, gait-balance disorders and recurrent falls, decline in daily living activities, hypoalbuminemia, and hypovitaminosis D.^{2,5,7–12,29,36,37} In the present study, most of these findings were similar to the results obtained by only HUT but not by AST. Based on the outcomes, it can be speculated that clinical reflection of OH during HUT might be more valuable in older adults. Furthermore, when the clinical importance of OH as a geriatric syndrome and the fact that the majority of patients with OH are asymptomatic are taken into account,⁴ the importance of reaching the correct diagnosis of OH by HUT is obvious in geriatric practice.

On the other hand, when HUT was used as the gold standard for comparison, the lower sensitivity, specificity, and positive predictive value of the AST method were determined. In this case, to strengthen the diagnosis of OH, older adults should be verified with HUT, even in the presence of OH diagnosed by AST. To avoid overdiagnoses of OH by AST, auscultatory measurements of BP should be taken by a physician skilled in the technique recommended by the American Heart Association,³⁸ or a digital blood sphygmomanometer can be preferred for BP measurements. In addition, large majority of older adults cannot change their positions easily and they exert efforts to sit and stand up from supine position during AST on account of existing comorbidities and mobility problems. Therefore, HUT seems to be a more objective method to diagnose OH.

Our study has several limitations. The first is the absence of measurements with a digital BP-measuring device during AST to compare with HUT. The second is the exclusion of some elderly patients in view of contraindications for HUT. The powerful aspects of our study, however, include its prospective design, adequate sample size, and the use of HUT test for diagnosis and comparison with AST. Besides, all the participants are older adults, so our study population represents geriatric patients vigorously.

Conclusion

These results suggest that orthostatic BP changes determined by HUT seem to have higher clinical significance than those determined by AST in older adults. It is important that the evaluation of OH by HUT should be included in daily geriatric practice.