并不是所有的脉冲轮廓算法都是一样的

IF 9.3 1区 医学 Q1 CRITICAL CARE MEDICINE
Frederic Michard, Stefano Romagnoli
{"title":"并不是所有的脉冲轮廓算法都是一样的","authors":"Frederic Michard, Stefano Romagnoli","doi":"10.1186/s13054-025-05589-z","DOIUrl":null,"url":null,"abstract":"<p>We read with interest the article by Lamarche-Fontaneto et al. [1] on cardiac output (CO) monitors in septic shock. We fully agree that pulmonary artery catheterization and transpulmonary thermodilution have value in this context, not only for measuring CO but also for gaining additional insights, such as pulmonary artery pressures or extravascular lung water. However, we felt that pulse contour techniques were dismissed too quickly, without considering the differences between the underlying algorithms.</p><p>Pulse contour techniques are generally classified as either calibrated or non-calibrated, with the common belief that calibrated ones are more accurate and precise. It is important to note that the algorithms may be identical. For example, the PiCCO and the ProAQT systems (Getinge, Sweden) use the same pulse contour algorithm. Similarly, the LiDCOplus and LiDCOrapid systems rely on the same PulseCO algorithm (Masimo, USA). The former are simply calibrated or reset periodically using dilution methods, while the latter are not. Consequently, calibrated methods are seen as more accurate, not because they have superior algorithms, but primarily because they are regularly reset to reference values.</p><p>Regarding uncalibrated pulse contour analysis, it is unclear why Lamarche-Fontaneto et al. [1] mentioned that “PRAM is not plug-and-play and waveform quality must be continuously verified and optimized.” Unlike the FloTrac and ProAQT algorithms, which require specific pressure transducers, the PRAM algorithm can analyze arterial pressure waveforms recorded with any standard pressure transducer. Therefore, it is easier to set up. This feature, shared with other algorithms (e.g., the MBA algorithm from Retia, USA), also offers the advantage of improving the sustainability and reducing the cost of CO monitoring [2]. Additionally, all algorithms that analyze waveform characteristics are affected by artifacts and damping phenomena, and we are not aware of any studies comparing how abnormal waveforms impact the performance of existing pulse contour algorithms. Notably, the PRAM algorithm now incorporates an electronic filter specifically designed to detect and correct underdamping phenomena [3], which may offer an advantage over other pulse contour methods. Regardless of the algorithm used, clinicians need to inspect the arterial pressure waveform for abnormalities and address them promptly. Failure to do so can lead to inaccurate blood pressure and CO measurements.</p><p>Clinical studies have reported significant variability in the performance of uncalibrated pulse contour algorithms. This variability likely stems from differences in clinical settings (operating room vs. ICU) and patient conditions (hemodynamic stability vs. instability). The heterogeneity of validation studies complicates any direct comparison between algorithms. However, a few studies [4,5,6,7,8] have directly compared several pulse contour algorithms against a reference CO measurement technique; these are summarized in Table 1. In addition, some algorithms have been shown to underestimate CO in the context of vasodilation and vasopressor administration [9], while others appear unaffected [10]. These findings emphasize that pulse contour algorithms do not perform uniformly and should not be thrown away in the same bucket.</p><figure><figcaption><b data-test=\"table-caption\">Table 1 Studies comparing simultaneously several pulse contour algorithms to a reference cardiac output measurement technique</b></figcaption><span>Full size table</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><p>In conclusion, we argue that not all uncalibrated pulse contour algorithms are created equal. The most robust among them may warrant further evaluation in complex ICU patients, including those with septic shock.</p><p>No datasets were generated or analysed during the current study.</p><dl><dt style=\"min-width:50px;\"><dfn>CO:</dfn></dt><dd>\n<p>cardiac output</p>\n</dd><dt style=\"min-width:50px;\"><dfn>ICU:</dfn></dt><dd>\n<p>Intensive Care Unit</p>\n</dd><dt style=\"min-width:50px;\"><dfn>MBA:</dfn></dt><dd>\n<p>MultiBeat Analysis</p>\n</dd><dt style=\"min-width:50px;\"><dfn>PRAM:</dfn></dt><dd>\n<p>Pressure Recording Analytical Method</p>\n</dd></dl><ol data-track-component=\"outbound reference\" data-track-context=\"references section\"><li data-counter=\"1.\"><p>Lamarche-Fontaneto R, Oud L, Howell KD, et al. Cardiac output monitors in septic shock: do they deliver what matters? A systematic review and meta-analysis. Crit Care. 2025;29:299.</p><p>Google Scholar </p></li><li data-counter=\"2.\"><p>Michard F, Romagnoli S, Saugel B. Make my haemodynamic monitor GREEN: sustainable monitoring solutions. Br J Anaesth. 2024;133:1367–70.</p><p>Google Scholar </p></li><li data-counter=\"3.\"><p>Foti L, Michard F, Villa G, et al. The impact of arterial pressure waveform underdamping and resonance filters on cardiac output measurements with pulse wave analysis. Br J Anaesth. 2022;129:e6–8.</p><p>Google Scholar </p></li><li data-counter=\"4.\"><p>Hadian M, Kim HK, Severyn DA, Pinsky MR. Cross-comparison of cardiac output trending accuracy of lidco, picco, flotrac and pulmonary artery catheters. Crit Care. 2010;14:R212.</p><p>Google Scholar </p></li><li data-counter=\"5.\"><p>Romagnoli S, Ricci Z, Romano SM, et al. FloTrac/Vigileo (third generation) and mostcare/pram versus echocardiography for cardiac output Estimation in vascular surgery. J Cardiothorac Vasc Anesth. 2013;27:1114–21.</p><p>Google Scholar </p></li><li data-counter=\"6.\"><p>Geisen M, Ganter MT, Hartnack S, et al. Accuracy, precision, and trending of 4 pulse wave analysis techniques in the postoperative period. J Cardiothorac Vasc Anesth. 2018;32:715–22.</p><p>Google Scholar </p></li><li data-counter=\"7.\"><p>Lamia B, Kim HK, Severyn DA, Pinsky MR. Cross-comparison of trending accuracies of continuous cardiac output measurements: pulse contour analysis, bioreactance, and pulmonary artery catheter. J Clin Monit Comput. 2018;32:33–43.</p><p>Google Scholar </p></li><li data-counter=\"8.\"><p>Mukkamala R, Kohl BA, Mahajan A. Comparison of accuracy of two uncalibrated pulse contour cardiac output monitors in off-pump coronary artery bypass surgery patients using pulmonary artery catheter-thermodilution as reference. BMC Anesthesiol. 2021;21:189.</p><p>CAS Google Scholar </p></li><li data-counter=\"9.\"><p>Metzelder S, Coburn M, Fries M, et al. Performance of cardiac output measurement derived from arterial pressure waveform analysis in patients requiring high-dose vasopressor therapy. Br J Anaesth. 2011;106:776–84.</p><p>CAS Google Scholar </p></li><li data-counter=\"10.\"><p>Franchi F, Silvestri R, Cubattoli L, et al. Comparison between an uncalibrated pulse contour method and thermodilution technique for cardiac output Estimation in septic patients. Br J Anaesth. 2011;107:202–8.</p><p>CAS Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><p>Not applicable</p><p>The authors did not receive any funding for this article.</p><h3>Authors and Affiliations</h3><ol><li><p>MiCo, Vallamand, Switzerland</p><p>Frederic Michard</p></li><li><p>Department of Health Science, Section of Anaesthesia and Intensive Care, Department of Anesthesia and Intensive Care, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy</p><p>Stefano Romagnoli</p></li></ol><span>Authors</span><ol><li><span>Frederic Michard</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Stefano Romagnoli</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>FM drafted the manuscript, and both authors revised the manuscript and approved the final version.</p><h3>Corresponding author</h3><p>Correspondence to Frederic Michard.</p><h3>Ethics approval and consent to participate</h3>\n<p>Not applicable.</p>\n<h3>Consent for publication</h3>\n<p>Not applicable.</p>\n<h3>Competing interests</h3>\n<p>FM is the founder and managing director of MiCo, a Swiss consulting and research firm. MiCo does not sell any medical devices. SR received fees for congress presentations, travel, and accommodation from Masimo (Irvine, CA, USA) and Vygon (Ecouen, France).</p><h3>Publisher’s note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.</p>\n<p>Reprints and permissions</p><img alt=\"Check for updates. 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Not all pulse contour algorithms are created equal. <i>Crit Care</i> <b>29</b>, 336 (2025). https://doi.org/10.1186/s13054-025-05589-z</p><p>Download citation<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><ul data-test=\"publication-history\"><li><p>Received<span>: </span><span><time datetime=\"2025-07-18\">18 July 2025</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\"2025-07-26\">26 July 2025</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\"2025-07-30\">30 July 2025</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s13054-025-05589-z</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\"click\" data-track-action=\"get shareable link\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p data-track=\"click\" data-track-action=\"select share url\" data-track-label=\"button\"></p><button data-track=\"click\" data-track-action=\"copy share url\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Copy to clipboard</button><p> Provided by the Springer Nature SharedIt content-sharing initiative </p><h3>Keywords</h3><ul><li><span>Hemodynamic monitoring</span></li><li><span>Cardiac output</span></li><li><span>Pulse contour analysis</span></li><li><span>Pulse contour algorithm</span></li><li><span>Pulse wave analysis</span></li></ul>","PeriodicalId":10811,"journal":{"name":"Critical Care","volume":"25 1","pages":""},"PeriodicalIF":9.3000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Not all pulse contour algorithms are created equal\",\"authors\":\"Frederic Michard, Stefano Romagnoli\",\"doi\":\"10.1186/s13054-025-05589-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We read with interest the article by Lamarche-Fontaneto et al. [1] on cardiac output (CO) monitors in septic shock. We fully agree that pulmonary artery catheterization and transpulmonary thermodilution have value in this context, not only for measuring CO but also for gaining additional insights, such as pulmonary artery pressures or extravascular lung water. However, we felt that pulse contour techniques were dismissed too quickly, without considering the differences between the underlying algorithms.</p><p>Pulse contour techniques are generally classified as either calibrated or non-calibrated, with the common belief that calibrated ones are more accurate and precise. It is important to note that the algorithms may be identical. For example, the PiCCO and the ProAQT systems (Getinge, Sweden) use the same pulse contour algorithm. Similarly, the LiDCOplus and LiDCOrapid systems rely on the same PulseCO algorithm (Masimo, USA). The former are simply calibrated or reset periodically using dilution methods, while the latter are not. Consequently, calibrated methods are seen as more accurate, not because they have superior algorithms, but primarily because they are regularly reset to reference values.</p><p>Regarding uncalibrated pulse contour analysis, it is unclear why Lamarche-Fontaneto et al. [1] mentioned that “PRAM is not plug-and-play and waveform quality must be continuously verified and optimized.” Unlike the FloTrac and ProAQT algorithms, which require specific pressure transducers, the PRAM algorithm can analyze arterial pressure waveforms recorded with any standard pressure transducer. Therefore, it is easier to set up. This feature, shared with other algorithms (e.g., the MBA algorithm from Retia, USA), also offers the advantage of improving the sustainability and reducing the cost of CO monitoring [2]. Additionally, all algorithms that analyze waveform characteristics are affected by artifacts and damping phenomena, and we are not aware of any studies comparing how abnormal waveforms impact the performance of existing pulse contour algorithms. Notably, the PRAM algorithm now incorporates an electronic filter specifically designed to detect and correct underdamping phenomena [3], which may offer an advantage over other pulse contour methods. Regardless of the algorithm used, clinicians need to inspect the arterial pressure waveform for abnormalities and address them promptly. Failure to do so can lead to inaccurate blood pressure and CO measurements.</p><p>Clinical studies have reported significant variability in the performance of uncalibrated pulse contour algorithms. This variability likely stems from differences in clinical settings (operating room vs. ICU) and patient conditions (hemodynamic stability vs. instability). The heterogeneity of validation studies complicates any direct comparison between algorithms. However, a few studies [4,5,6,7,8] have directly compared several pulse contour algorithms against a reference CO measurement technique; these are summarized in Table 1. In addition, some algorithms have been shown to underestimate CO in the context of vasodilation and vasopressor administration [9], while others appear unaffected [10]. These findings emphasize that pulse contour algorithms do not perform uniformly and should not be thrown away in the same bucket.</p><figure><figcaption><b data-test=\\\"table-caption\\\">Table 1 Studies comparing simultaneously several pulse contour algorithms to a reference cardiac output measurement technique</b></figcaption><span>Full size table</span><svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-chevron-right-small\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></figure><p>In conclusion, we argue that not all uncalibrated pulse contour algorithms are created equal. The most robust among them may warrant further evaluation in complex ICU patients, including those with septic shock.</p><p>No datasets were generated or analysed during the current study.</p><dl><dt style=\\\"min-width:50px;\\\"><dfn>CO:</dfn></dt><dd>\\n<p>cardiac output</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>ICU:</dfn></dt><dd>\\n<p>Intensive Care Unit</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>MBA:</dfn></dt><dd>\\n<p>MultiBeat Analysis</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>PRAM:</dfn></dt><dd>\\n<p>Pressure Recording Analytical Method</p>\\n</dd></dl><ol data-track-component=\\\"outbound reference\\\" data-track-context=\\\"references section\\\"><li data-counter=\\\"1.\\\"><p>Lamarche-Fontaneto R, Oud L, Howell KD, et al. Cardiac output monitors in septic shock: do they deliver what matters? A systematic review and meta-analysis. Crit Care. 2025;29:299.</p><p>Google Scholar </p></li><li data-counter=\\\"2.\\\"><p>Michard F, Romagnoli S, Saugel B. 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Br J Anaesth. 2011;106:776–84.</p><p>CAS Google Scholar </p></li><li data-counter=\\\"10.\\\"><p>Franchi F, Silvestri R, Cubattoli L, et al. Comparison between an uncalibrated pulse contour method and thermodilution technique for cardiac output Estimation in septic patients. Br J Anaesth. 2011;107:202–8.</p><p>CAS Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-download-medium\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></p><p>Not applicable</p><p>The authors did not receive any funding for this article.</p><h3>Authors and Affiliations</h3><ol><li><p>MiCo, Vallamand, Switzerland</p><p>Frederic Michard</p></li><li><p>Department of Health Science, Section of Anaesthesia and Intensive Care, Department of Anesthesia and Intensive Care, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy</p><p>Stefano Romagnoli</p></li></ol><span>Authors</span><ol><li><span>Frederic Michard</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Stefano Romagnoli</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>FM drafted the manuscript, and both authors revised the manuscript and approved the final version.</p><h3>Corresponding author</h3><p>Correspondence to Frederic Michard.</p><h3>Ethics approval and consent to participate</h3>\\n<p>Not applicable.</p>\\n<h3>Consent for publication</h3>\\n<p>Not applicable.</p>\\n<h3>Competing interests</h3>\\n<p>FM is the founder and managing director of MiCo, a Swiss consulting and research firm. MiCo does not sell any medical devices. SR received fees for congress presentations, travel, and accommodation from Masimo (Irvine, CA, USA) and Vygon (Ecouen, France).</p><h3>Publisher’s note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.</p>\\n<p>Reprints and permissions</p><img alt=\\\"Check for updates. 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Not all pulse contour algorithms are created equal. <i>Crit Care</i> <b>29</b>, 336 (2025). https://doi.org/10.1186/s13054-025-05589-z</p><p>Download citation<svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-download-medium\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></p><ul data-test=\\\"publication-history\\\"><li><p>Received<span>: </span><span><time datetime=\\\"2025-07-18\\\">18 July 2025</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\\\"2025-07-26\\\">26 July 2025</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\\\"2025-07-30\\\">30 July 2025</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s13054-025-05589-z</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\\\"click\\\" data-track-action=\\\"get shareable link\\\" data-track-external=\\\"\\\" data-track-label=\\\"button\\\" type=\\\"button\\\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p data-track=\\\"click\\\" data-track-action=\\\"select share url\\\" data-track-label=\\\"button\\\"></p><button data-track=\\\"click\\\" data-track-action=\\\"copy share url\\\" data-track-external=\\\"\\\" data-track-label=\\\"button\\\" type=\\\"button\\\">Copy to clipboard</button><p> Provided by the Springer Nature SharedIt content-sharing initiative </p><h3>Keywords</h3><ul><li><span>Hemodynamic monitoring</span></li><li><span>Cardiac output</span></li><li><span>Pulse contour analysis</span></li><li><span>Pulse contour algorithm</span></li><li><span>Pulse wave analysis</span></li></ul>\",\"PeriodicalId\":10811,\"journal\":{\"name\":\"Critical Care\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":9.3000,\"publicationDate\":\"2025-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Critical Care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13054-025-05589-z\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Critical Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13054-025-05589-z","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
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摘要

我们饶有兴趣地阅读了Lamarche-Fontaneto等人关于脓毒性休克的心输出量(CO)监测仪的文章。我们完全同意肺动脉插管和经肺热稀释在这种情况下具有价值,不仅可以测量CO,还可以获得额外的见解,如肺动脉压力或血管外肺水。然而,我们认为脉冲轮廓技术被忽视得太快了,没有考虑到底层算法之间的差异。脉冲轮廓技术一般分为校准和非校准两种,人们普遍认为校准的技术更准确、更精确。重要的是要注意,算法可能是相同的。例如,PiCCO和ProAQT系统(瑞典Getinge)使用相同的脉冲轮廓算法。类似地,LiDCOplus和LiDCOrapid系统依赖于相同的PulseCO算法(Masimo, USA)。前者只需使用稀释法定期校准或重置,而后者则不需要。因此,校准方法被认为更准确,不是因为它们有更好的算法,而是主要因为它们定期重置为参考值。关于未校准的脉冲轮廓分析,不清楚为什么Lamarche-Fontaneto等人提到“PRAM不是即插即用的,波形质量必须不断验证和优化。”与需要特定压力传感器的FloTrac和ProAQT算法不同,PRAM算法可以分析任何标准压力传感器记录的动脉压力波形。因此,它更容易设置。该特性与其他算法(例如,来自美国Retia的MBA算法)共享,也具有提高可持续性和降低CO监测成本的优势。此外,所有分析波形特征的算法都受到伪影和阻尼现象的影响,而且我们还没有看到任何比较异常波形如何影响现有脉冲轮廓算法性能的研究。值得注意的是,PRAM算法现在集成了一个专门设计用于检测和纠正欠阻尼现象[3]的电子滤波器,这可能比其他脉冲轮廓方法更具优势。无论使用何种算法,临床医生都需要检查动脉压波形是否异常,并及时处理。不这样做会导致不准确的血压和一氧化碳测量。临床研究报告了未校准脉冲轮廓算法在性能上的显著差异。这种差异可能源于临床环境(手术室与ICU)和患者状况(血流动力学稳定性与不稳定性)的差异。验证研究的异质性使算法之间的任何直接比较复杂化。然而,一些研究[4,5,6,7,8]直接将几种脉冲轮廓算法与参考CO测量技术进行了比较;表1对这些进行了总结。此外,一些算法已被证明低估了血管舒张和血管加压剂给药[9]的CO,而其他算法似乎未受影响[9]。这些发现强调了脉冲轮廓算法的性能并不均匀,不应该被扔在同一个桶里。表1同时比较几种脉冲轮廓算法与参考心输出量测量技术的研究。其中最强大的可能需要在复杂的ICU患者中进一步评估,包括脓毒性休克患者。在本研究中没有生成或分析数据集。CO:心输出量u:重症监护病房mba:多拍分析pram:压力记录分析方法lamarche - fontaneto R, Oud L, Howell KD,等。心输出量监测仪在感染性休克中的作用:它们能提供什么重要的信息吗?系统回顾和荟萃分析。危重护理。2025;29:299。[10]王晓东,王晓东,王晓东,等。血流动力学监测技术的研究进展。[J] .中国生物医学工程学报,2009;33(3):369 - 369。[10]学者Foti L, michael F, Villa G,等。动脉压波形欠阻尼和共振滤波器对脉搏波分析测量心输出量的影响。[J] .中国生物医学工程学报,2009;31(1):1 - 8。[10] Hadian M, Kim HK, Severyn DA, Pinsky MR. lidco、picco、flotrac和肺动脉导管心输出量趋势准确性的交叉比较。危重症护理,2010;14:R212。[10]学者Romagnoli S, Ricci Z, Romano SM,等。FloTrac/Vigileo(第三代)和mostcare/pram与超声心动图在血管手术中估计心输出量的比较[J]中华心血管病杂志,2013;27(1):1 - 4。[10]学者Geisen M, Ganter MT, Hartnack S,等。4种脉搏波分析技术术后准确度、精密度及趋势分析。[J]中华心血管病杂志,2018;32(2):715 - 722。 [10]学者Lamia B, Kim HK, Severyn DA, Pinsky MR.连续心输出量测量趋势准确性的交叉比较:脉冲轮廓分析,生物阻抗和肺动脉导管。临床监测计算[J]; 2018;32(3):33 - 43。[10]学者Mukkamala R, Kohl BA, Mahajan A.两种未校准脉搏轮廓心输出量监测仪在非体外循环冠状动脉搭桥手术中使用肺动脉导管-热稀释作为参考的准确性比较。中华麻醉学杂志。2021;21:189。[10]学者Metzelder S, Coburn M, Fries M,等。在需要大剂量血管加压治疗的患者中,由动脉压波形分析得出的心输出量测量的表现。[J] .中国生物医学工程学报,2011;26(6):726 - 731。[10]刘建军,刘建军,刘建军,等。未校准脉搏轮廓法与热稀释法在脓毒症患者心排血量评估中的比较。[J] .中国生物医学工程学报,2011;37(2):391 - 391。本文作者未获得任何资助。作者和单位:瑞士瓦拉曼市frederic michard佛罗伦萨大学Azienda Ospedaliero-Universitaria Careggi,意大利佛罗伦萨stefano RomagnoliAuthorsFrederic MichardView作者publications搜索作者on:PubMed谷歌ScholarStefano RomagnoliView作者publications搜索作者on:PubMed谷歌ScholarContributionsFM起草了手稿,两位作者都修改了手稿,并批准了最终版本。通讯作者Frederic Michard。对参与者的伦理批准和同意不适用。发表同意不适用。竞争利益fm是瑞士咨询和研究公司MiCo的创始人和总经理。MiCo不销售任何医疗设备。SR从Masimo (Irvine, CA, USA)和Vygon (Ecouen, France)获得了会议演讲、差旅费和住宿费。出版方声明:对于已出版地图的管辖权要求和机构关系,普林格·自然保持中立。开放获取本文遵循知识共享署名-非商业-非衍生品4.0国际许可协议,该协议允许以任何媒介或格式进行非商业用途、共享、分发和复制,只要您适当注明原作者和来源,提供知识共享许可协议的链接,并注明您是否修改了许可材料。根据本许可协议,您无权分享源自本文或其部分内容的改编材料。本文中的图像或其他第三方材料包含在文章的知识共享许可协议中,除非在材料的署名中另有说明。如果材料未包含在文章的知识共享许可中,并且您的预期用途不被法律法规允许或超过允许的用途,您将需要直接获得版权所有者的许可。要查看本许可证的副本,请访问http://creativecommons.org/licenses/by-nc-nd/4.0/.Reprints和permissionsCite这篇文章michard, F., Romagnoli, S.并不是所有的脉冲轮廓算法都是平等的。危重症护理29,336(2025)。https://doi.org/10.1186/s13054-025-05589-zDownload citation收稿日期:2025年7月18日接受日期:2025年7月26日发布日期:2025年7月30日doi: https://doi.org/10.1186/s13054-025-05589-zShare本文任何您与之分享以下链接的人都可以阅读此内容:获取可共享链接对不起,本文目前没有可共享链接。复制到剪贴板由b施普林格自然共享内容共享倡议提供关键词血液动态监测心输出脉搏轮廓分析脉搏轮廓算法脉搏波分析
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Not all pulse contour algorithms are created equal

We read with interest the article by Lamarche-Fontaneto et al. [1] on cardiac output (CO) monitors in septic shock. We fully agree that pulmonary artery catheterization and transpulmonary thermodilution have value in this context, not only for measuring CO but also for gaining additional insights, such as pulmonary artery pressures or extravascular lung water. However, we felt that pulse contour techniques were dismissed too quickly, without considering the differences between the underlying algorithms.

Pulse contour techniques are generally classified as either calibrated or non-calibrated, with the common belief that calibrated ones are more accurate and precise. It is important to note that the algorithms may be identical. For example, the PiCCO and the ProAQT systems (Getinge, Sweden) use the same pulse contour algorithm. Similarly, the LiDCOplus and LiDCOrapid systems rely on the same PulseCO algorithm (Masimo, USA). The former are simply calibrated or reset periodically using dilution methods, while the latter are not. Consequently, calibrated methods are seen as more accurate, not because they have superior algorithms, but primarily because they are regularly reset to reference values.

Regarding uncalibrated pulse contour analysis, it is unclear why Lamarche-Fontaneto et al. [1] mentioned that “PRAM is not plug-and-play and waveform quality must be continuously verified and optimized.” Unlike the FloTrac and ProAQT algorithms, which require specific pressure transducers, the PRAM algorithm can analyze arterial pressure waveforms recorded with any standard pressure transducer. Therefore, it is easier to set up. This feature, shared with other algorithms (e.g., the MBA algorithm from Retia, USA), also offers the advantage of improving the sustainability and reducing the cost of CO monitoring [2]. Additionally, all algorithms that analyze waveform characteristics are affected by artifacts and damping phenomena, and we are not aware of any studies comparing how abnormal waveforms impact the performance of existing pulse contour algorithms. Notably, the PRAM algorithm now incorporates an electronic filter specifically designed to detect and correct underdamping phenomena [3], which may offer an advantage over other pulse contour methods. Regardless of the algorithm used, clinicians need to inspect the arterial pressure waveform for abnormalities and address them promptly. Failure to do so can lead to inaccurate blood pressure and CO measurements.

Clinical studies have reported significant variability in the performance of uncalibrated pulse contour algorithms. This variability likely stems from differences in clinical settings (operating room vs. ICU) and patient conditions (hemodynamic stability vs. instability). The heterogeneity of validation studies complicates any direct comparison between algorithms. However, a few studies [4,5,6,7,8] have directly compared several pulse contour algorithms against a reference CO measurement technique; these are summarized in Table 1. In addition, some algorithms have been shown to underestimate CO in the context of vasodilation and vasopressor administration [9], while others appear unaffected [10]. These findings emphasize that pulse contour algorithms do not perform uniformly and should not be thrown away in the same bucket.

Table 1 Studies comparing simultaneously several pulse contour algorithms to a reference cardiac output measurement technique
Full size table

In conclusion, we argue that not all uncalibrated pulse contour algorithms are created equal. The most robust among them may warrant further evaluation in complex ICU patients, including those with septic shock.

No datasets were generated or analysed during the current study.

CO:

cardiac output

ICU:

Intensive Care Unit

MBA:

MultiBeat Analysis

PRAM:

Pressure Recording Analytical Method

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Authors and Affiliations

  1. MiCo, Vallamand, Switzerland

    Frederic Michard

  2. Department of Health Science, Section of Anaesthesia and Intensive Care, Department of Anesthesia and Intensive Care, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy

    Stefano Romagnoli

Authors
  1. Frederic MichardView author publications

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  2. Stefano RomagnoliView author publications

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Contributions

FM drafted the manuscript, and both authors revised the manuscript and approved the final version.

Corresponding author

Correspondence to Frederic Michard.

Ethics approval and consent to participate

Not applicable.

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Not applicable.

Competing interests

FM is the founder and managing director of MiCo, a Swiss consulting and research firm. MiCo does not sell any medical devices. SR received fees for congress presentations, travel, and accommodation from Masimo (Irvine, CA, USA) and Vygon (Ecouen, France).

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Michard, F., Romagnoli, S. Not all pulse contour algorithms are created equal. Crit Care 29, 336 (2025). https://doi.org/10.1186/s13054-025-05589-z

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Keywords

  • Hemodynamic monitoring
  • Cardiac output
  • Pulse contour analysis
  • Pulse contour algorithm
  • Pulse wave analysis
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来源期刊
Critical Care
Critical Care 医学-危重病医学
CiteScore
20.60
自引率
3.30%
发文量
348
审稿时长
1.5 months
期刊介绍: Critical Care is an esteemed international medical journal that undergoes a rigorous peer-review process to maintain its high quality standards. Its primary objective is to enhance the healthcare services offered to critically ill patients. To achieve this, the journal focuses on gathering, exchanging, disseminating, and endorsing evidence-based information that is highly relevant to intensivists. By doing so, Critical Care seeks to provide a thorough and inclusive examination of the intensive care field.
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