Notice bibliographique
Résumé
The history of blood pressure (BP) measurement is relatively brief. The BP cuff invented by Scipione Riva-Rocci in Italy1 and the auscultation of sounds first described by Nikolai Korotkov2 in Russia in the early 1900s have served as the basis for the measurement of BP for more than a century. In research, a modification of the mercury sphygmomanometer utilized the random-zero Hawksley BP technique but was not found to be accurate.3 Oscillometric devices have all but replaced the older methods in the Western world and have been rapidly adopted for the measurement of BP both in the clinic and in research.4 A problem that has long been recognized with the accuracy of BP measurement when an observer is present in the room is the white-coat effect.5 Some creative solutions have emerged. For instance, oscillometric devices can now be programmed to measure BP at periodic intervals including the BpTRU device, which is commonly used in Canadian practices.6 However, a newer development in which a mandatory 5-minute rest is required before the cuff inflates three times at periodic intervals to measure an oscillometric pressure has been used in the Systolic Blood Pressure Intervention Trial (SPRINT).7 This 5-minute unobserved oscillometric BP is less likely to have a “white-coat” effect. However, such a technique is not commonly used in most practices, yet we strive to translate the findings of SPRINT in the mistaken belief that BP is BP is BP. In this issue of the Journal of Clinical Hypertension, Cohen and colleagues assess the accuracy of the Omron HEM-907XL oscillometric BP measurement device (Lake Forest, IL, USA)—the device used in the SPRINT study—among nondialytic patients with chronic kidney disease8. Of note, such patients were participants in the SPRINT study, which was the motivation for validating this device. The researchers found that using the rigorous protocol of the Association for the Advancement of Medical Instrumentation, the systolic BP using an aneroid device was 2.5 mm Hg lower using one method and 5.1 mm Hg lower using the second method. The diastolic BPs were similar. Thus, the authors conclude that such a device may not be as accurate for the estimation of systolic BP. One has to recognize that 2 or 3 consecutive Korotkoff sounds are needed before a systolic BP is identified. The question remains: can the human brain really play back the sounds and recognize what the systolic BP might have been at the onset of the Korotkoff sounds? In fact, one may argue that using a sphygmocorder, which records both the BP and Korotkoff sounds simultaneously, would be ideal to validate such a device9; however, few investigations have used such methodology. The next question that emerges is whether the human ears are good enough to detect the systolic and diastolic sounds. Using a very sensitive microphone, Pickering and colleagues10 have discovered that such a microphone agrees more closely with the intra-arterial recordings compared with the human ear. On the other hand, it is possible that the device tested in the study was indeed miscalibrated. The oscillometric device is based on the detection of maximal oscillation, which occurs when the arterial wall is completely unloaded. This occurs when the cuff pressure equals the mean arterial pressure. At such a pressure, the oscillations of the air column within the BP cuff and its connecting tube are maximal. Proprietary algorithms then impute the systolic and diastolic BP. It is clear that arterial wall stiffness can influence such oscillations of the air column.11 This is particularly likely to happen in patients with chronic kidney disease, in whom such a device may not provide accurate readings.11 This study did not measure the arterial wall stiffness; therefore, we are unable to make direct cause and effect conclusions. A long-held belief has been that the human ear is the gold standard for BP measurement because such measurements have formed the basis of the practice of hypertension through the conduct of randomized controlled trials. Most of the older trials used mercury sphygmomanometers and auscultated BPs to form the basis of BP measurements. However, the validation of oscillometric devices has now occurred with the large randomized controlled trials such as the Antihypertensive and Lipid Lowering Treatment to Prevent Heart Attack Trial (ALLHAT)12 and SPRINT.7 Both of these large trials used oscillometric devices. In SPRINT, it is quite clear that the oscillometric systolic BP differences were associated with reductions in clinically meaningful cardiovascular outcomes, thus implicitly validating the oscillometric device.7 In conclusion, it is not only important to use a validated device when measuring BP in our patients, it is also important that we pay attention to how BP is measured. For example, it is important that the patient is seated and rested alone in a quiet room for 5 minutes. Furthermore, it is important to recognize any person present in the room or other distractions that may unintentionally influence BP. Unless we pay attention to both the devices and the way we measure BP, we will continue to believe that the method of measurement of BP is unimportant. In other words, we may continue to believe that BP is BP is BP. Clearly, it is not. A well-measured BP is like a well-measured test, which is valuable and valid. Without such a measurement, we risk undertreating or overtreating patients with hypertension. The author is supported by the National Institutes of Health (R01-HL126903) and a grant for the VA Merit Review (5-I01-CX000829-04).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,010 | 0,004 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,006 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».