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Zribi B, Peres A, Iluz-Freundlich D, Aranbitski R, Orbach-Zinger S, Livne MY, Loebl N, Perl L, Statlender L, Raz Y, Fein S, Azem K. Novel noninvasive prediction for pulse pressure variation: a machine learning-based model. Br J Anaesth 2025; 134:1200-1203. [PMID: 39863466 PMCID: PMC11947564 DOI: 10.1016/j.bja.2024.12.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2024] [Revised: 11/23/2024] [Accepted: 12/17/2024] [Indexed: 01/27/2025] Open
Affiliation(s)
- Benjamin Zribi
- Department of Anaesthesia, Rabin Medical Centre, Beilinson Hospital, Petach Tikva, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Alexander Peres
- Department of Anaesthesia, Rabin Medical Centre, Beilinson Hospital, Petach Tikva, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Daniel Iluz-Freundlich
- Department of Anaesthesia, Rabin Medical Centre, Beilinson Hospital, Petach Tikva, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Roussana Aranbitski
- Department of Anaesthesia, Rabin Medical Centre, Beilinson Hospital, Petach Tikva, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Sharon Orbach-Zinger
- Department of Anaesthesia, Rabin Medical Centre, Beilinson Hospital, Petach Tikva, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Michal Y Livne
- Department of Anaesthesia, Rabin Medical Centre, Beilinson Hospital, Petach Tikva, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Nadav Loebl
- Beilinson Medical Centre Innovation, Artificial Intelligence Centre, Rabin Medical Centre, Petah Tikva, Israel; Faculty of Computer Science, Reichman University, Herzliya, Israel
| | - Leor Perl
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel; Beilinson Medical Centre Innovation, Artificial Intelligence Centre, Rabin Medical Centre, Petah Tikva, Israel; Department of Cardiology, Rabin Medical Centre, Beilinson Hospital, Petach Tikva, Israel
| | - Liran Statlender
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel; Department of Intensive Care, Rabin Medical Centre, Beilinson Hospital, Petach Tikva, Israel
| | - Yair Raz
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel; Edmond and Lily Safra Children's Hospital, Sheba Medical Centre, Ramat Gan, Israel
| | - Shai Fein
- Department of Anaesthesia, Rabin Medical Centre, Beilinson Hospital, Petach Tikva, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Karam Azem
- Department of Anaesthesia, Rabin Medical Centre, Beilinson Hospital, Petach Tikva, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
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Mayrovitz HN. Relationship Between Finger Photoplethysmographic Pulses and Skin Blood Perfusion. Cureus 2024; 16:e71035. [PMID: 39512964 PMCID: PMC11540811 DOI: 10.7759/cureus.71035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2024] [Accepted: 10/07/2024] [Indexed: 11/15/2024] Open
Abstract
Introduction Photoplethysmography (PPG) measures are important in monitoring peripheral oxygen saturation (SpO2). Another parameter is a derived quantity referred to as the peripheral perfusion index (PPI). It is calculated as the ratio of the peak-to-peak pulse amplitude of a PPG signal (PAPPG) to the non-pulsating part of the total PPG signal. The PPI has been used as a marker of blood perfusion states in a variety of clinical settings but has not been systematically and directly compared to measures of local blood perfusion. This study's purpose was to investigate this issue to provide initial data on the relationship between finger skin blood perfusion, measured by laser Doppler blood perfusion flux (LDF) and PAPPG. Methods Ten subjects (five male), recruited from medical students with an average age of 26 years, participated. While supine for 30 minutes, skin blood perfusion was recorded using laser Doppler flux (LDF) on the ring finger pulp of the non-dominant hand, and the photoplethysmography pulse (PPG) was recorded from the index finger of the same hand. The recorded data was searched sequentially manually to locate the first 30-pulse sequence in which the PPG amplitude of at least six PPG pulses was less than or equal to 60% of the maximum pulse amplitude in the sequence. The primary PPG parameter of interest was PAPPG. For the LDF signal, the pulse amplitude is designated as PALDF, the total LDF for each pulse is designated as LDFTOT, and the LDF pulsatile component is designated as PF. To investigate the relationship between LDF parameters and PAPPG a linear regression analysis of each 30-pulse sequence was done with PAPPG as the independent variable and each of the three LDF parameters individually (PALDF, LDFTOT, and PF) as dependent variables. Results There was a statistically significant direct relationship between PAPPG and all three measures of blood perfusion (p<0.05). Correlation coefficients (R) varied among subjects but within-subject variations versus PAPPG were similar, having mean values that ranged from 0.665 to 0.694. The results also provided evidence in support of a direct relationship between the LDF pulsatility index, defined as the ratio of PF to its mean value., and PAPPG (R=0.779). Conclusions When finger PPG pulse amplitudes are measured in individual subjects there is a moderate-to-strong correlation between the PPG pulse amplitude changes and skin blood perfusion changes. This fact impacts the confidence in using the widely available PPG parameter, peripheral perfusion index, as an indicator of changes in tissue perfusion. However, differences in the PPG pulse amplitude among subjects were less reliable indicators of differences in blood perfusion among subjects. The findings also indicate that a related parameter, the LDF pulsatility index, is also highly correlated with the PPG pulse amplitude and may serve as a useful parameter for future clinical investigations.
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Affiliation(s)
- Harvey N Mayrovitz
- Medical Education, Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA
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Krone S, Bokoch MP, Kothari R, Fong N, Tallarico RT, Sturgess-DaPrato J, Pirracchio R, Zarbock A, Legrand M. Association between peripheral perfusion index and postoperative acute kidney injury in major noncardiac surgery patients receiving continuous vasopressors: a post hoc exploratory analysis of the VEGA-1 trial. Br J Anaesth 2024; 132:685-694. [PMID: 38242802 DOI: 10.1016/j.bja.2023.11.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 10/26/2023] [Accepted: 11/24/2023] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND The peripheral perfusion index is the ratio of pulsatile to nonpulsatile static blood flow obtained by photoplethysmography and reflects peripheral tissue perfusion. We investigated the association between intraoperative perfusion index and postoperative acute kidney injury in patients undergoing major noncardiac surgery and receiving continuous vasopressor infusions. METHODS In this exploratory post hoc analysis of a pragmatic, cluster-randomised, multicentre trial, we obtained areas and cumulative times under various thresholds of perfusion index and investigated their association with acute kidney injury in multivariable logistic regression analyses. In secondary analyses, we investigated the association of time-weighted average perfusion index with acute kidney injury. The 30-day mortality was a secondary outcome. RESULTS Of 2534 cases included, 8.9% developed postoperative acute kidney injury. Areas and cumulative times under a perfusion index of 3% and 2% were associated with an increased risk of acute kidney injury; the strongest association was observed for area under a perfusion index of 1% (adjusted odds ratio [aOR] 1.32, 95% confidence interval [CI] 1.00-1.74, P=0.050, per 100%∗min increase). Additionally, time-weighted average perfusion index was associated with acute kidney injury (aOR 0.82, 95% CI 0.74-0.91, P<0.001) and 30-day mortality (aOR 0.68, 95% CI 0.49-0.95, P=0.024). CONCLUSIONS Larger areas and longer cumulative times under thresholds of perfusion index and lower time-weighted average perfusion index were associated with postoperative acute kidney injury in patients undergoing major noncardiac surgery and receiving continuous vasopressor infusions. CLINICAL TRIAL REGISTRATION NCT04789330.
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Affiliation(s)
- Sina Krone
- Department of Anesthesiology and Perioperative Care, University of California, San Francisco, CA, USA; Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany
| | - Michael P Bokoch
- Department of Anesthesiology and Perioperative Care, University of California, San Francisco, CA, USA
| | - Rishi Kothari
- Department of Anesthesiology and Perioperative Care, University of California, San Francisco, CA, USA
| | - Nicholas Fong
- Department of Anesthesiology and Perioperative Care, University of California, San Francisco, CA, USA
| | - Roberta T Tallarico
- Department of Anesthesiology and Perioperative Care, University of California, San Francisco, CA, USA
| | - Jillene Sturgess-DaPrato
- Department of Anesthesiology and Perioperative Care, University of California, San Francisco, CA, USA
| | - Romain Pirracchio
- Department of Anesthesiology and Perioperative Care, University of California, San Francisco, CA, USA
| | - Alexander Zarbock
- Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany
| | - Matthieu Legrand
- Department of Anesthesiology and Perioperative Care, University of California, San Francisco, CA, USA; INI-CRCT Network, Nancy, France.
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