Evaluation of accuracy of capillary refill index with pneumatic fingertip compression.

Capillary refill time (CRT) is a method of measuring a patient's peripheral perfusion status through a visual assessment performed by a clinician. We developed a new method of measuring CRT using standard pulse oximetry sensor, which was designated capillary refill index (CRI). We evaluated the accuracy of CRI in comparison to CRT image analysis. Thirty healthy adult volunteers were recruited for a derivation study and 30 patients in the emergency department (ED) were for validation. Our high fidelity mechanical device compresses and releases the fingertip to measure changes in blood volume using infrared-light (940 nm). CRT was calculated by image analysis software using recorded fingertip videos. CRI and CRT were measured at: room temperature (ROOM TEMP), 15 °C cold water (COLD), and 38 °C warm water (REWARM). Intra-rater reliability, Bland-Altman plots, and correlation coefficients were used to evaluate the accuracy of the novel CRI method. CRI (4.9 [95% CI 4.5-5.3] s) and CRT (4.0 [3.6-4.3]) in the COLD group were higher than the ROOM TEMP and REWARM groups. High intra-rater reliability was observed in both measurements (0.97 [0.95-0.98] and 0.98 [0.97-0.99], respectively). The Bland-Altman plots suggested a systematic bias: CRI was consistently higher than CRT (difference: + 1.01 s). There was a strong correlation between CRI and CRT (r = 0.89, p < 0.001). ED patients had higher CRI (3.91 [5.05-2.75]) and CRT (2.21 [3.19-1.23]) than those of healthy volunteers at room temperature. The same difference and correlation patterns were verified in the ED setting. CRI was as reliable as CRT by image analysis. The values of CRI was approximately 1 s higher than CRT.

The standardized method and clinical experience may improve the reliability of visually assessed capillary refill time.

OBJECTIVE: Reliability of capillary refill time (CRT) has been questionable. The purpose of this study was to examine that a standardized method and clinical experience would improve the reliability of CRT. METHODS: This was a cross-sectional study in the emergency department (ED). Health care providers (HCPs) performed CRT without instruments (method 1) to classify patients as having normal or abnormal (≤2/>2 s) CRT. An ED attending physician quantitatively measured CRT using a chronograph (standardized visual CRT, method 2). A video camera was mounted on top of the hand tool to obtain a digital recording. The videos were used to calculate CRT via image software (image CRT, method 3) as a criterion standard of methods. Additionally, 9 HCPs reviewed the videos in a separate setting in order to visually assess CRT (video CRT, method 4). RESULTS: We enrolled 30 patients in this study. Standardized visual CRT (method 2) identified 10 abnormal patients, while two patients were identified by CRT without instruments (method 1). There was no correlation (κ value, 0.00) between CRT without instruments (method 1) and image CRT (method 3), however the correlation between standardized visual CRT (method 2) and image CRT (method 3) was strong (r = 0.64, p < 0.01). Both intra-observer reliability and correlation coefficient with image CRT (method 3) was higher in video CRT (method 4) by more experienced clinicians. CONCLUSIONS: Visual assessment is variable but a standardized method such as using a chronograph and/or clinical experience may aid clinicians to improve the reliability of visually assessed CRT.

Comparison of point-of-care peripheral perfusion assessment using pulse oximetry sensor with manual capillary refill time: clinical pilot study in the emergency department.

BACKGROUND: Traditional capillary refill time (CRT) is a manual measurement that is commonly used by clinicians to identify deterioration in peripheral perfusion status. Our study compared a novel method of measuring peripheral perfusion using an investigational device with standardized visual CRT and tested the clinical usefulness of this investigational device, using an existing pulse oximetry sensor, in an emergency department (ED) setting. MATERIAL AND METHODS: An ED attending physician quantitatively measured CRT using a chronometer (standardized visual CRT). The pulse oximetry sensor was attached to the same hand. Values obtained using the device are referred to as blood refill time (BRT). These techniques were compared in its numbers with the Bland-Altman plot and the predictability of patients' admissions. RESULTS: Thirty ED patients were recruited. Mean CRT of ED patients was 1.9 ± 0.8 s, and there was a strong correlation with BRT (r = 0.723, p < 0.001). The Bland-Altman plot showed a proportional bias pattern. The ED physician identified 3 patients with abnormal CRT (> 3 s). Area under the receiver operator characteristic curve (AUC) of BRT to predict whether or not CRT was greater than 3 s was 0.82 (95% CI, 0.58-1.00). Intra-rater reliability of BRT was 0.88 (95% CI, 0.79-0.94) and that of CRT was 0.92 (0.85-0.96). Twelve patients were admitted to the hospital. AUC to predict patients' admissions was 0.67 (95% CI, 0.46-0.87) by BRT and 0.76 (0.58-0.94) by CRT. CONCLUSIONS: BRT by a pulse oximetry sensor was an objective measurement as useful as the standardized CRT measured by the trained examiner with a chronometer at the bedside.

Low temperature increases capillary blood refill time following mechanical fingertip compression of healthy volunteers: prospective cohort study.

Capillary refill time has been accepted as a method to manually assess a patient's peripheral blood perfusion. Recently, temperature has been reported to affect capillary refill time and therefore temperature may interfere with accurate bedside peripheral blood perfusion evaluation. We applied a new method of analysis that uses standard hospital pulse oximetry equipment and measured blood refill time in order to test whether lowered fingertip temperature alters peripheral blood perfusion. Thirty adult healthy volunteers of differing races (skin colors) and age (young: 18-49 years and old: ≥ 50 years) groups were recruited. We created a high fidelity mechanical device to compress and release the fingertip and measure changes in blood volume using infrared light (940 nm). Capillary refill times were measured at the fingertip at three different temperature settings: ROOM TEMPERATURE, COLD by 15 °C cold water, and REWARM by 38 °C warm water. The COLD group has decreased fingertip temperature (23.6 ± 3.6 °C) and increased blood refill time (4.67 s [95% CI 3.57-5.76], p < 0.001). This was significantly longer than ROOM TEMPERATURE (1.96 [1.60-2.33]) and REWARM (1.96 [1.73-2.19]). Blood refill time in older subjects tended to be longer than in younger subjects (2.28 [1.61-2.94] vs. 1.65 [1.36-1.95], p = 0.077). There was a negative correlation (r = - 0.471, p = 0.009) between age and temperature. A generalized linear mixed-effects model revealed that lower temperature (OR 0.63 [95% CI 0.61-0.65], p < 0.001) rather than age (OR 1.00 [0.99-1.01], p = 0.395) was the independent factor most associated with increased blood refill time. Lowered fingertip temperatures significantly increase blood refill time which then returns to baseline when the fingertip is rewarmed. In our limited number of population, we did not find an association with age after the adjustment for the fingertip temperature.