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Critical Care

Erschienen in:

Open Access 01.12.2016 | Review

Predicting cardiorespiratory instability

verfasst von: Michael R. Pinsky, Gilles Clermont, Marilyn Hravnak

Erschienen in: Critical Care | Ausgabe 1/2016

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Abstract

This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency medicine 2016. Other selected articles can be found online at http://www.biomedcentral.com/collections/annualupdate2016. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.

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Hravnak M, Edwards L, Clontz A, Valenta C, DeVita M, Pinsky MR. Defining the incidence of cardio-respiratory instability in step-down unit patients using an electronic integrated monitoring system. Arch Intern Med. 2008;168:1300–8.CrossRefPubMedPubMedCentral

Hravnak M, Edwards L, Foster-Heasley M, et al. Electronic integrated monitoring of medical emergency team calls to a step down unit. Circulation. 2007;116(II):939.

Hravnak M, DeVita MA, Clontz A, Edwards L, Valenta C, Pinsky MR. Cardiorespiratory Instability Before and After Implementing an Integrated Monitoring System. Crit Care Med. 2011;39:65–72.CrossRefPubMedPubMedCentral

Knaus WA, Wagner DP, Draper EA, et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest. 1991;100:1619–36.CrossRefPubMed

Zimmerman JE, Kramer AA, McNair DS, Malila FM. Acute Physiology and Chronic Health Evaluation (APACHE) IVL hospital mortality assessment for today’s critically ill patients. Crit Care Med. 2006;34:1297–310.CrossRefPubMed

Smith GB, Prytherch DR, Schmidt PE, et al. Should age be included as a component of track and trigger systems used to identify sick adult patients? Resuscitation. 2008;78:109–15.CrossRefPubMed

10.

Yousef K, Pinsky MR, DeVita MA, Sereika S, Hravnak M. Demographic and clinical predictors of cardiorespiratory instability in a step-down unit: pilot study. Am J Crit Care. 2012;21:344–50.CrossRefPubMedPubMedCentral

11.

Batchinsky AI, Salina J, Kuusela T, Necsoiu C, Jones J, Cancio LC. Rapid prediction of trauma patients survival by analysis of heart rate complexity: impact of reducing data set size. Shock. 2009;32:565–71.CrossRefPubMed

12.

Cancio LC, Batchinsky AI, Salinas J, et al. Heart-rate complexity for prediction of prehospital lifesaving interventions in trauma patients. J Trauma. 2008;65:813–9.CrossRefPubMed

13.

Batchinsky AI, Salinas J, Jones JA, Necsoiu C, Cancio LC. Predicting the need to perform life-saving interventions in trauma patients using new vital signs and artificial neural networks. Lecture Notes in Computer Science. Berlin: Springer; 2009.

14.

Ogundele O, Clermont G, Sileanu F, Pinsky MR. Use of derived physiologic variable to predict individual patients’ probability of hemodynamic instability. Am J Respir Crit Care Med. 2013;187:A5067 (abst).

15.

Zenker S, Polanco PM, Kim HK, et al. Threshold area over the curve of spectrometric tissue oxygen saturation as an indicator of volume resuscitability in an acute porcine model of hemorrhagic shock. J Trauma. 2007;63:573–80.CrossRefPubMed

16.

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17.

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18.

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19.

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20.

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21.

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22.

Landry DW, Oliver JA. The pathogenesis of vasodilatory shock. N Engl J Med. 2001;345:588–95.CrossRefPubMed

23.

Singer M. Mitochondrial function in sepsis: acute phase versus multiple organ failure. Crit Care Med. 2007;35:441–8.CrossRef

24.

Leverve XM. Mitochondrial function and substrate availability. Crit Care Med. 2007;35:S454–60.CrossRefPubMed

25.

Clavijo-Alvarez JA, Sims CA, Soller B, Pinsky MR, Puyana JC. Monitoring skeletal muscle and subcutaneous tissue acid-base status and oxygenation during hemorrhagic shock and resuscitation. Shock. 2005;24:270–5.CrossRefPubMed

26.

Michard F, Teboul JL. Predicting fluid responsiveness in ICU patients: A critical analysis of the evidence. Chest. 2002;212:2000–8.CrossRef

27.

Pinsky MR. Hemodynamic evaluation and monitoring in the ICU. Chest. 2007;123:2020–9.CrossRef

28.

Pinsky MR. Functional hemodynamic monitoring: use of derived variable to diagnose and manage the critically ill. Acta Anaesthesiol Scand. 2009;53 suppl 119:9–11.

29.

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30.

Monnet X, Rienzo M, Osman D, et al. Response to leg raising predicts fluid responsiveness in critically ill. Crit Care Med. 2006;34:1402–7.CrossRefPubMed

31.

Kim HK, Pinsky MR. Effect of tidal volume, sampling duration and cardiac contractility on pulse pressure and stroke volume variation during positive-pressure ventilation. Crit Care Med. 2008;36:2858–62.CrossRefPubMedPubMedCentral

32.

Pinsky MR. Functional hemodynamic monitoring: A personal perspective. In: Vincent JL, editor. Yearbook of Emergency and Intensive Care Medicine. Berlin: Springer; 2009. p. 306–10.CrossRef

33.

Marquez J, McCurry K, Severyn DA, Pinsky MR. Ability of pulse power, esophageal Doppler and arterial pressure to estimate rapid changes in stroke volume in humans. Crit Care Med. 2008;36:3001–7.CrossRefPubMedPubMedCentral

34.

Hadian M, Kim HK, Severyn D, Pinsky MR. Cross-comparison of continuous cardiac output trending accuracy of LiDCO, PiCCO, FloTrac and pulmonary artery catheters. Crit Care. 2010;14:R212.CrossRefPubMedPubMedCentral

35.

Cannesson M, Besnard C, Durand PG, Bohé J, Jacques D. Relation between respiratory variations in pulse oximetry plethysmographic waveform amplitude and arterial pulse pressure in ventilated patients. Crit Care. 2005;9:R562–8.CrossRefPubMedPubMedCentral

36.

Benomar B, Quattara A, Estagnasie P, Brusset A, Squara P. Fluid responsiveness predicted by non-invasive bioreactance-based passive leg raise test. Intensive Care Med. 2010;36:1875–81.CrossRefPubMed

37.

Gomez H, Torres A, Zenker S, et al. Use of non-invasive NIRS during vascular occlusion test to assess dynamic tissue O2 saturation response. Intensive Care Med. 2008;34:1600–7.CrossRefPubMed

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39.

Holcomb JB, Niles SE, Miller CC, Hinds D, Duke JH, Moore FA. Prehospital physiologic data and lifesaving interventions in trauma patients. Mil Med. 2005;170:7–13.CrossRefPubMed

40.

Holcomb JB, Salinas J, McManus JJ, Miller CC, Cooke WH, Convertino VA. Manual vital signs reliably predict need for life-saving interventions in trauma patients. J Trauma. 2005;59:821–9.CrossRefPubMed

41.

Porter JM, Ivatury RR. In search of the optimal end points of resuscitation in trauma patients: a review. J Trauma. 1998;44:908–14.CrossRefPubMed

42.

Guyette FX, Suffoletto BP, Castillio JL, Puyana JC. Identification of occult shock using out-of-hospital lactate. Ann Emerg Med. 2009;54:S142 (abst).CrossRef

43.

Castillio JL, Guyette FX, Suffoletto BP, Peitzman AB, Puyana JC. The role of prehospital lactate as a predictor of outcomes in trauma patients. J Trauma. 2009;63:S138 (abst).

44.

Guyette F, Gomez H, Suffoletto B, et al. Prehospital dynamic tissue O2 saturation response predicts in-hospital mortality in trauma patients. Crit Care Med. 2009;37(12 Suppl):A28.

Titel: Predicting cardiorespiratory instability
verfasst von: Michael R. Pinsky
Gilles Clermont
Marilyn Hravnak
Publikationsdatum: 01.12.2016
Verlag: BioMed Central
Erschienen in: Critical Care / Ausgabe 1/2016
Elektronische ISSN: 1364-8535
DOI: https://doi.org/10.1186/s13054-016-1223-7

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