Critical Care Bulletin: February 2025

 

Relationship between skin microvascular blood flow and capillary refill time in critically ill patients

Critical Care volume 29, Article number: 57 (2025)

Published: 04 February 2025

Background

Capillary refill time (CRT) and skin blood flow (SBF) have been reported to be strong predictors of mortality in critically ill patients. However, the relationship between both parameters remains unclear.

Methods

We conducted a prospective observational study in a tertiary teaching hospital. All patients older than 18 years admitted in the intensive care unit (ICU) with circulatory failure and a measurable CRT were included. We assessed index SBF by laser doppler flowmetry and CRT on the fingertip, at T0 (Within the first 48 h from admission) and T1 (4 to 6 h later). Correlation was computed using Spearman or Pearson’s formula.

Results

During a 2-month period, 50 patients were included, 54% were admitted for sepsis. At baseline median CRT was 2.0 [1.1–3.9] seconds and median SBF was 46 [20–184] PU. At baseline SBF strongly correlated with CRT (R2 = 0.89; p < 0.0001, curvilinear relationship), this correlation was maintained whether patients were septic or not (R2 = 0.94; p = 0.0013; R2 = 0.87; p < 0.0001, respectively), and whether they received norepinephrine or not (R2 = 0.97; p = 0.0035; R2 = 0.92; p < 0.0001, respectively). Between T0 and T1, changes in SBF also significantly correlated with changes in CRT (R2 = 0.34; p < 0.0001). SBF was related to tissue perfusion parameters such as arterial lactate level (p = 0.02), whilst no correlation was found with cardiac output. In addition, only survivors significantly improved their SBF between T0 and T1. SBF was a powerful predictor of day-28 mortality as the AUROC at T0 was 85% [95% IC [76–91]] and at T1 90% [95% IC [78–100]].

Conclusion

We have shown that index CRT and SBF were correlated, providing evidence that CRT is a reliable marker of microvascular blood flow.

Trial registration Comité de protection des personnes Ouest II N° 2023-A02046-39.

Renin as a Marker of Tissue-Perfusion and Prognosis in Critically Ill Patients*

Renin as a Marker of Tissue-Perfusion and Prognosis in Critically Ill Patients*

by Gleeson, Patrick J.; Crippa, Ilaria Alice; Mongkolpun, Wasineenart; Cavicchi, Federica Zama; Van Meerhaeghe, Tess; Brimioulle, Serge; Taccone, Fabio Silvio; Vincent, Jean-Louis; Creteur, Jacques

Critical Care Medicine: February 2019 - Volume 47 - Issue 2 - p 152–158

Objectives: To characterize renin in critically ill patients. Renin is fundamental to circulatory homeostasis and could be a useful marker of tissue-perfusion. However, diurnal variation, continuous renal replacement therapy and drug-interference could confound its use in critical care practice.

Design: Prospective observational study. Setting: Single-center, mixed medical-surgical ICU in Europe. Patients: Patients over 18 years old with a baseline estimated glomerular filtration rate greater than 30 mL/min/1.73 m2 and anticipated ICU stay greater than 24 hours. Informed consent was obtained from the patient or next-of-kin. Interventions: Direct plasma renin was measured in samples drawn 6-hourly from arterial catheters in recumbent patients and from extracorporeal continuous renal replacement therapy circuits. Physiologic variables and use of drugs that act on the renin-angiotensin-aldosterone system were recorded prospectively. Routine lactate measurements were used for comparison.

Measurements and Main Results: One-hundred twelve arterial samples (n = 112) were drawn from 20 patients (65% male; mean ± SD, 60 ± 14 yr old) with septic shock (30%), hemorrhagic shock (15%), cardiogenic shock (20%), or no circulatory shock (35%). The ICU mortality rate was 30%. Renin correlated significantly with urine output (repeated-measures correlation coefficient = –0.29; p = 0.015) and mean arterial blood pressure (repeated-measures correlation coefficient = –0.35; p < 0.001). There was no diurnal variation of renin or significant interaction of renin-angiotensin-aldosterone system drugs with renin in this population. Continuous renal replacement therapy renin removal was negligible (mass clearance ± SD 4% ± 4.3%). There was a significant difference in the rate of change of renin over time between survivors and nonsurvivors (–32 ± 26 μU/timepoint vs +92 ± 57 μU/timepoint p = 0.03; mean ± SEM), but not for lactate (–0.14 ± 0.04 mM/timepoint vs +0.15 ± 0.21 mM/timepoint; p = 0.07). Maximum renin achieved significant prognostic value for ICU mortality (receiver operator curve area under the curve 0.80; p = 0.04), whereas maximum lactate did not (receiver operator curve area under the curve, 0.70; p = 0.17).

Conclusions: In an heterogeneous ICU population, renin measurement was not significantly affected by diurnal variation, continuous renal replacement therapy, or drugs. Renin served as a marker of tissue-perfusion and outperformed lactate as a predictor of ICU mortality.