- Open Access
Development and performance of a novel vasopressor-driven mortality prediction model in septic shock
Annals of Intensive Care volume 8, Article number: 112 (2018)
Vasoactive medications are essential in septic shock, but are not fully incorporated into current mortality prediction risk scores. We sought to develop a novel mortality prediction model for septic shock incorporating quantitative vasoactive medication usage.
Quantitative vasopressor use was calculated in a cohort of 5352 septic shock patients and compared using norepinephrine equivalents (NEE), cumulative vasopressor index and the vasoactive inotrope score models. Having best discrimination prediction, log10NEE was selected for further development of a novel prediction model for 28-day and 1-year mortality via backward stepwise logistic regression. This model termed ‘MAVIC’ (Mechanical ventilation, Acute Physiology And Chronic Health Evaluation-III, Vasopressors, Inotropes, Charlson comorbidity index) was then compared to Acute Physiology And Chronic Health Evaluation-III (APACHE-III) and Sequential Organ Failure Assessment (SOFA) scores in an independent validation cohort for its accuracy in predicting 28-day and 1-year mortality.
Measurements and main results
The MAVIC model was superior to the APACHE-III and SOFA scores in its ability to predict 28-day mortality (area under receiver operating characteristic curve [AUROC] 0.73 vs. 0.66 and 0.60) and 1-year mortality (AUROC 0.74 vs. 0.66 and 0.60), respectively.
The incorporation of quantitative vasopressor usage into a novel ‘MAVIC’ model results in superior 28-day and 1-year mortality risk prediction in a large cohort of patients with septic shock.
Sepsis is a leading public health problem with an increasing incidence in recent epidemiological data . Despite recent advances, the mortality with sepsis and septic shock remains as high as 30–50% [2, 3]. Current prognostication systems for critical illness, such as the Acute Physiology And Chronic Health Evaluation-III (APACHE-III) and Sequential Organ Failure Assessment (SOFA) scores, assess end-organ damage, laboratory and physiological derangements and chronic comorbidities to aid in accurate mortality prediction . The recent Sepsis-3 definitions emphasize the incorporation of the SOFA score into defining sepsis severity, including septic shock . However, since the initial development of the SOFA score, advances in cardiovascular critical care have resulted in changes to the types, doses and combinations of vasoactive medications warranting a refinement of the SOFA score [5,6,7]. Previous work from our institution has shown that refining the cardiovascular component of the SOFA score results in significantly improved prediction of intensive care unit (ICU), hospital and 28-day mortality in patients with critical illness . More importantly, their modified cardiovascular SOFA score was as reliable as the total SOFA score for mortality prediction. This highlights the critical importance of cardiovascular integrity in overall prognostication. We have previously reported that nearly 60–70% of septic patients in the ICU have concomitant cardiac and renal end-organ damage [8, 9]. Cardiovascular dysfunction in sepsis is associated with poor short-term and long-term outcomes, and the use of high-dose vasopressors appears to further worsen prognosis in these situations [2, 3, 6, 8, 10]. Circulatory failure and shock remain the most widely noted forms of cardiovascular dysfunction in patients with sepsis. Given the importance and ubiquity of vasopressor use in septic shock, we sought to develop a novel risk prognostication system using a quantitative vasoactive medication scoring system approach. [6, 7]
Using a contemporary cohort of septic shock patients, we thus sought to develop and validate a novel risk prognostication model for 28-day mortality incorporating the best discriminative ability of three contemporary vasoactive medication scoring systems. This model was then compared to existing SOFA and APACHE-III prognostic risk scores.
Materials and methods
This was a retrospective cohort study of adult septic shock patients admitted to all ICUs at the Mayo Clinic in Rochester, Minnesota from January 1, 2010 to December 31, 2015. The characteristics of these ICUs and patient population included in this study have been described previously . Briefly, the Mayo Clinic is a 2059 bed hospital over two campuses in Rochester Minnesota and has 14 sub-specialty ICUs that are staffed continually by board-certified intensivists. This study was approved by the Mayo Clinic Institutional Review Board. The Sepsis-3 criteria was used to define septic shock as sepsis requiring vasopressor use to maintain mean arterial pressure ≥ 65 mm Hg and blood lactate ≥ 2 mmol/L despite fluid resuscitation . Adult (> 18 years) patients diagnosed with septic shock admitted to the ICU for ≥ 24 h were included in this study. We excluded patients who declined Minnesota research authorization and also those with repeat ICU admissions, end-of-life treatment limiting decisions and patients without post-ICU follow-up.
Data: definitions, sources and management
Demographics, comorbidities and clinical data were automatically abstracted from the Multidisciplinary Epidemiology and Translational Research in Intensive Care Laboratory (METRIC) DataMart as previously described [2, 3, 8, 10, 12]. This customized iterative data repository automatically abstracts vital signs, infusion rates, fluid balance, urine output data, ventilator parameters, hemodynamic variables and laboratory parameters every 15 min in real time. All patients with sepsis and septic shock have blood cultures and lactate levels checked and receive 30 ml/kg intravenous fluid and antimicrobial therapy within 3 h of sepsis onset as detected by electronic search algorithm. This is a part of an ongoing quality improvement initiative in the ICUs at Mayo Clinic [13, 14]. Acute kidney injury was electronically abstracted by a customized, validated search algorithm that screens all ICU patients . Total and peak vasopressor doses for the first 24 h were abstracted from the METRIC DataMart. The SOFA and APACHE-III scores are calculated at admission and at 24 h using customized algorithms. We used the 24-h SOFA and APACHE-III scores in this study. Mortality data were abstracted from the Mayo Clinic databases, the State of Minnesota electronic death certificates and the Rochester Epidemiology Project death data system . Two independent reviewers (SV and AAK) reviewed the electronically abstracted variables and, when needed, performed manual chart reviews to ensure accuracy and fidelity of data.
The primary aim was to develop a novel risk stratification model incorporating vasoactive medication scoring systems in the prediction of 28-day mortality in patients with septic shock. This novel model was then compared to currently existing standard severity of illness scoring systems, i.e., SOFA and APACHE-III scores. The secondary aim was to evaluate the ability of this model to predict 1-year mortality.
Vasoactive medication scoring systems
Total and peak simultaneous doses of vasoactive medications in the first 24-h were abstracted from the METRIC DataMart. We used the following scoring systems to quantify overall peak vasoactive medication requirements: (a) norepinephrine equivalents (NEE) , (b) vasoactive inotropic score (VIS) [17, 18] and (c) cumulative vasopressor index (CVI) . The dose equivalency and calculations for these scoring systems are presented in Fig. 1. Peak simultaneous doses during the first 24 h of the ICU stay were used to develop these indices that were used for further analysis.
Model development, validation and statistical analysis
Continuous and categorical data are presented as median (interquartile range [IQR]) and total (percentage), respectively. Kruskal–Wallis and Fisher’s exact tests were used to evaluate continuous and categorical outcomes. Odds ratios (OR) with 95% confidence intervals (CI) were used to report univariable and multivariable analysis results. Because of the skewed nature of NEE, VIS and CVI values, these values were converted to log10NEE, log10VIS and log10CVI, respectively, for continuous analyses. Area under the receiver operating characteristic curve (AUROC) analysis was utilized to evaluate discrimination of log10NEE, log10VIS and log10CVI for 28-day mortality on a derivation subset of the cohort. The scoring system with the highest discrimination was used further for model development in the multivariate analyses.
Using an outcome-agnostic sampling algorithm, the cohort was divided into derivation (75%) and validation (25%) subsets. As seen in Table 1, the outcomes for both 28-day and 1-year mortality are relatively balanced, thus no specific resampling approach was required. For the multivariable modeling, regression analysis with backward stepwise variable selection was conducted in order to derive a model for predicting 28-day and 1-year mortality using variables generated in the first 24 h of ICU stay. The variable selection component of this model was based on a liberal p < 0.20 for inclusion . Following training on the derivation subset, model performance was assessed on the 25% holdout set. Two-tailed p < 0.05 was considered statistically significant. All statistical analyses were performed with JMP version 10.0.1 (SAS Institute, Cary, NC).
During the period from January 1, 2010 through December 31, 2010, there were a total of 7516 ICU admissions for septic shock, of which 5352 (71.3%) patients were included (Fig. 2). The derivation and validation cohorts comprised 4033 (75.4%) and 1319 (24.6%) patients, respectively. Baseline characteristics for the total population and the individual cohorts are detailed in Table 1. The median vasopressor doses and vasoactive medication scores were comparable between the two cohorts (Tables 1, 2). In the total population, 28-day and 1-year mortalities were 45.1% and 49.7%, respectively, there were no significant differences in mortality between the derivation and validation cohorts (Table 1). All three vasoactive medication scoring systems were associated with unadjusted 28-day mortality in the derivation cohort—log10NEE (OR 2.3 [95% CI 2.1–2.6]; p < 0.001), log10VIS (OR 2.9 [95% CI 2.5–3.3]; p < 0.001) and log10CVI (OR 1.2 [95% CI 1.1–1.2]; p < 0.001). Log10NEE and log10VIS demonstrated fair discrimination (0.63, 0.61) prediction and log10CVI demonstrated poor discrimination (0.52) for 28-day mortality in derivation cohort (Fig. 3). Log10NEE was used for further analysis in the multivariate model and for the development of a prediction model.
Model development, validation and comparison
Using univariable analysis, significant predictors of 28-day mortality in the derivation cohort are identified as noted in Table 3. After adjusting for age, sex, severity of illness, comorbidity and use of mechanical ventilation, log10NEE was an independent predictor of 28-day mortality (OR 1.6 [95% CI 1.4–1.9]; p < 0.001). The multivariate model was reduced using a stepwise backward elimination process based on a liberal p < 0.20. The final model incorporated Mechanical ventilation, APACHE-III, Vasopressors and Inotropes (log10NEE) and Charlson comorbidity index (MAVIC) as significant predictors of 28-day mortality in patients with septic shock. This model demonstrated good discrimination of 28-day mortality (AUROC 0.73) in the validation cohort (Fig. 4). In comparison with the MAVIC model, standardized severity of illness scoring systems such as the APACHE-III (AUROC 0.66) and SOFA score (AUROC 0.59) showed lower discrimination for 28-day mortality. Formal comparisons of all model AUROCs via DeLong test found all p < 0.001, indicating statistically significant differences.
The MAVIC model, likewise, demonstrated superiority in discrimination for 1-year mortality (AUROC 0.73) as compared to APACHE-III (AUROC 0.66) and SOFA scores (AUROC 0.60) in the validation cohort. As with 28-day mortality, comparison via DeLong test found all differences to be statistically significant.
To the best of our knowledge, this is the first large observational study to use vasoactive scoring systems for prediction of mortality in adult patients with septic shock. Norepinephrine equivalents had superior discrimination for 28-day mortality compared to either the CVI or VIS in septic shock patients. Using data available within the first 24 h, NEE and three other independent predictors of 28-day mortality were combined to develop a parsimonious 4-component prognostic model (MAVIC). This MAVIC model was subsequently validated in a randomly generated validation cohort from the same population. The MAVIC model demonstrated superior discriminatory ability compared to the APACHE-III and SOFA scores for 28-day and 1-year mortality in septic shock.
Historically, in adult patients with sepsis and cardiogenic shock, vasoactive medication scoring systems have predominantly been used to classify the extent of hemodynamic support [21,22,23]. Vasoactive medications are used in an empiric fashion and often there are limited bedside data on cumulative vasopressor requirements . Vasoactive medications are a severity of illness indicator; however, they are incompletely accounted for in scoring systems. More recent data have shown vasoactive medication requirements to be an independent predictor of adverse outcomes [11, 25,26,27]. The need for high-dose vasopressors reflects a potentially fatal underlying condition with a high risk of complications, but the direct association remains to be proven. Though the VIS has been used to prognosticate in a smaller cohort of 138 pediatric patients with sepsis , this is the first large study using existing vasoactive scoring systems in the prognostication of adult septic shock patients. Prior studies have used either norepinephrine or cumulative vasopressor requirements to demonstrate higher mortality in patients with septic shock [27, 29]. In about 20–40% of septic patients, persistent vasoplegia results in refractory shock necessitating high-dose vasoactive medications, with a very high attributable mortality . Refractory vasoplegia in sepsis is multi-factorial and usually fatal, leading investigators to evaluate alternate mechanisms of restoring vascular tone in these patients [6, 30]. High doses of vasopressors are associated with significant adverse events such as arrhythmias, myocardial infarctions, digital injury/ischemia and acute kidney injury [26, 27].
Existing prognostic scores (APACHE and SOFA) have several limitations . The APACHE-III does not incorporate either vasopressor use or myocardial dysfunction in sepsis, both of which have mortality implications [2, 3, 8, 11]. The SOFA score also has some similar limitations as shown in the study by Yadav et al. . They modified the cardiovascular component of the SOFA score and incorporated more detailed vasoactive medication dosage as well as organ failure assessment using serum lactate and the shock index. Their modified cardiovascular SOFA showed superior discriminatory power for ICU, in-hospital as well as 28-day mortality . This study was limited in its ability to prognosticate in septic shock patients since it included all ICU patients. We performed an exploratory analysis using the modified cardiovascular SOFA in this population and it showed a poor discrimination for 28-day mortality (AUROC 0.51). This can partly be explained by the high modified cardiovascular SOFA score of 3 and 4 in this population reflective of their cardiovascular morbidity. Furthermore, the NEE model uses a more granular scoring system compared to the modified cardiovascular SOFA that might explain these differences. In another study, Johnson et al.  used a simplified version of the APACHE-IV score and developed a similar parsimonious scoring system in unselected critically ill patients without compromising the accuracy; however, it lacked adequate vasopressor data.
It is noteworthy that our model appears to further enhance risk assessment in patients with septic shock, who by definition comprise a high-risk cohort with a cardiovascular SOFA score of 3–4. Thus, our model appears to capture additional prognostic information than the individual SOFA component scores. Furthermore, with the advent of real-time sophisticated critical-illness computational algorithms, our model appears capable of incorporating real-time vasopressor use to provide clinicians with reliable and up-to-date prognostic information [12, 33].
The vasoactive scoring systems used in this study have been previously been used in the evaluation of septic shock patients; however, they have not been compared head-to-head [7, 17, 19]. In this study, we demonstrate NEE to have superior predictive performance for 28-day mortality relative to the VIS and CVI. This can be explained by multiple hypotheses. First, given the ubiquitous use of norepinephrine as the first-line vasopressor in septic shock it is likely that norepinephrine usage dominates the various scoring systems . As noted in Table 1, individual peak norepinephrine doses formed nearly 40% of the peak total dose of NEE lending credence to this hypothesis. Second, the VIS scoring system was used and validated primarily to define inotrope requirements in pediatric and cardiac surgery populations, both of which significantly differ from the current population [17, 28]. Finally, the dose equivalency in the literature differs on the optimal conversion factors for vasoactive medications resulting in varied calibration with outcomes. The NEE conversion system used in this study is consistent with recent high-impact trials including the angiotensin II for the treatment of vasodilatory shock and vasopressin versus norepinephrine infusion in patients with septic shock trials [7, 35]. However, the NEE used by Brown et al.  to report high-dose vasopressors differs from our study.
This study has certain limitations. The use of a retrospective design is subject to selection and information bias that could have confounded the results. These patients were identified using the Sepsis-3 criteria retroactively during the study duration when the 2001 consensus criteria were in use; and this may have impacted case selection. All treatment decisions, including choice of vasoactive medication and arterial pressure goal, were at the discretion of the treating physician and no universal protocol for hemodynamic management of septic patients was in place during the study period. Despite protocoled hemodynamic management, a significant portion of the patients had a positive fluid balance at the end of day 1 suggestive of higher acuity of illness in this population. Alternate endpoints to critical illness such as functional status, disposition and return to work were not assessed in this study that could provide a greater emphasis on patient-centered outcomes and quality of life. We focused on early risk prognostication and thus could have overlooked late cardiovascular deterioration in these patients that could have contributed to 28-day mortality. Finally, the single-institution nature of this study limits external generalizability in the absence of validation studies at other centers. Strengths of the study include the large patient population studied and the use of a well-validated electronic database with 15-min data capture capabilities.
We report the development and validation of a novel MAVIC mortality prediction model for septic shock patients admitted to the ICU. The MAVIC model incorporates cumulative vasoactive medication usage within the first 24 h and outperforms both APACHE-III and SOFA scores for 28-day mortality prediction in septic shock patients. Vasopressor burden during early critical illness appears to be a marker for unfavorable outcomes. Newer scoring systems for critically ill patients with septic shock are needed that emphasize cardiovascular morbidity and vasoactive medication use to aid in early and reliable prognostication. Further validation of this model externally and in non-septic shock populations is desirable prior to acceptance in clinical practice.
Acute Physiology And Chronic Health Evaluation-III
area under receiver operating characteristic curve
cumulative vasopressor index
intensive care unit
Mechanical ventilation, APACHE-III, Vasopressors, Inotropes, Charlson comorbidity index
Multidisciplinary Epidemiology and Translational Research in Intensive Care Laboratory
Sequential Organ Failure Assessment
vasoactive inotrope score
Kumar G, Kumar N, Taneja A, Kaleekal T, Tarima S, McGinley E, et al. Nationwide trends of severe sepsis in the 21st century (2000–2007). Chest. 2011;140(5):1223–31.
Vallabhajosyula S, Kumar M, Pandompatam G, Sakhuja A, Kashyap R, Kashani K, et al. Prognostic impact of isolated right ventricular dysfunction in sepsis and septic shock: an 8-year historical cohort study. Ann Intensive Care. 2017;7(1):94.
Vallabhajosyula S, Sakhuja A, Geske JB, Kumar M, Poterucha JT, Kashyap R, et al. Role of admission troponin-T and serial troponin-T testing in predicting outcomes in severe sepsis and septic shock. J Am Heart Assoc. 2017;6(9):e005930.
Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The third international consensus definitions for sepsis and septic shock (sepsis-3). JAMA. 2016;315(8):801–10.
Yadav H, Harrison AM, Hanson AC, Gajic O, Kor DJ, Cartin-Ceba R. Improving the accuracy of cardiovascular component of the sequential organ failure assessment score. Crit Care Med. 2015;43(7):1449–57.
Jentzer JC, Vallabhajosyula S, Khanna AK, Chawla LS, Busse LW, Kashani KB. Management of refractory vasodilatory shock. Chest. 2018;154(2):416–26.
Khanna A, English SW, Wang XS, Ham K, Tumlin J, Szerlip H, et al. Angiotensin II for the treatment of vasodilatory shock. N Engl J Med. 2017;377(5):419–30.
Vallabhajosyula S, Sakhuja A, Geske JB, Kumar M, Kashyap R, Kashani K, et al. Clinical profile and outcomes of acute cardiorenal syndrome type-5 in sepsis: an eight-year cohort study. PLoS ONE. 2018;13(1):e0190965.
Plataki M, Kashani K, Cabello-Garza J, Maldonado F, Kashyap R, Kor DJ, et al. Predictors of acute kidney injury in septic shock patients: an observational cohort study. Clin J Am Soc Nephrol. 2011;6(7):1744–51.
Vallabhajosyula S, Jentzer JC, Geske JB, Kumar M, Sakhuja A, Singhal A, et al. New-onset heart failure and mortality in hospital survivors of sepsis-related left ventricular dysfunction. Shock. 2018;49(2):144–9.
Kotecha A, Vallabhajosyula S, Apala DR, Frazee E, Iyer VN. Clinical outcomes of weight-based norepinephrine dosing in underweight and morbidly obese patients: a propensity-matched analysis. J Intensive Care Med. 2018. https://doi.org/10.1177/0885066618768180.
Herasevich V, Pickering BW, Dong Y, Peters SG, Gajic O. Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness. Mayo Clin Proc. 2010;85(3):247–54.
Harrison AM, Thongprayoon C, Kashyap R, Chute CG, Gajic O, Pickering BW, et al. Developing the surveillance algorithm for detection of failure to recognize and treat severe sepsis. Mayo Clin Proc. 2015;90(2):166–75.
Siontis B, Elmer J, Dannielson R, Brown C, Park J, Surani S, et al. Multifaceted interventions to decrease mortality in patients with severe sepsis/septic shock-a quality improvement project. PeerJ. 2015;3:e1290.
Ahmed A, Vairavan S, Akhoundi A, Wilson G, Chiofolo C, Chbat N, et al. Development and validation of electronic surveillance tool for acute kidney injury: a retrospective analysis. J Crit Care. 2015;30(5):988–93.
Rocca WA, Yawn BP, St Sauver JL, Grossardt BR, Melton LJ 3rd. History of the Rochester Epidemiology Project: half a century of medical records linkage in a US population. Mayo Clin Proc. 2012;87(12):1202–13.
Gaies MG, Jeffries HE, Niebler RA, Pasquali SK, Donohue JE, Yu S, et al. Vasoactive-inotropic score is associated with outcome after infant cardiac surgery: an analysis from the Pediatric Cardiac Critical Care Consortium and Virtual PICU System Registries. Pediatr Crit Care Med. 2014;15(6):529–37.
Nguyen HV, Havalad V, Aponte-Patel L, Murata AY, Wang DY, Rusanov A, et al. Temporary biventricular pacing decreases the vasoactive-inotropic score after cardiac surgery: a substudy of a randomized clinical trial. J Thorac Cardiovasc Surg. 2013;146(2):296–301.
Trzeciak S, McCoy JV, Phillip Dellinger R, Arnold RC, Rizzuto M, Abate NL, et al. Early increases in microcirculatory perfusion during protocol-directed resuscitation are associated with reduced multi-organ failure at 24 h in patients with sepsis. Intensive Care Med. 2008;34(12):2210–7.
Bedogni G. Clinical prediction models—a practical approach to development, validation and updating. J R Stat Soc Ser A (Stat Soc). 2009;172(4):944.
Janiczek JA, Winger DG, Coppler P, Sabedra AR, Murray H, Pinsky MR, et al. Hemodynamic resuscitation characteristics associated with improved survival and shock resolution after cardiac arrest. Shock. 2016;45(6):613–9.
Du Z, Jia Z, Wang J, Xing Z, Jiang C, Xu B, et al. Effect of increasing mean arterial blood pressure on microcirculation in patients with cardiogenic shock supported by extracorporeal membrane oxygenation. Clin Hemorheol Microcirc. 2018;70(1):27–37.
Erwin BL, Denaburg MA, Barker AB, McArdle PJ, Windham ST, Morgan CJ. Evaluation of vasopressin for septic shock in patients on chronic renin-angiotensin-aldosterone system inhibitors. Crit Care Med. 2017;45(12):e1226–32.
Jentzer JC, Coons JC, Link CB, Schmidhofer M. Pharmacotherapy update on the use of vasopressors and inotropes in the intensive care unit. J Cardiovasc Pharmacol Ther. 2015;20(3):249–60.
Dunser MW, Ruokonen E, Pettila V, Ulmer H, Torgersen C, Schmittinger CA, et al. Association of arterial blood pressure and vasopressor load with septic shock mortality: a post hoc analysis of a multicenter trial. Crit Care. 2009;13(6):R181.
Schmittinger CA, Torgersen C, Luckner G, Schroder DC, Lorenz I, Dunser MW. Adverse cardiac events during catecholamine vasopressor therapy: a prospective observational study. Intensive Care Med. 2012;38(6):950–8.
Sviri S, Hashoul J, Stav I, van Heerden PV. Does high-dose vasopressor therapy in medical intensive care patients indicate what we already suspect? J Crit Care. 2014;29(1):157–60.
McIntosh AM, Tong S, Deakyne SJ, Davidson JA, Scott HF. Validation of the vasoactive-inotropic score in pediatric sepsis. Pediatr Crit Care Med. 2017;18(8):750–7.
Brown SM, Lanspa MJ, Jones JP, Kuttler KG, Li Y, Carlson R, et al. Survival after shock requiring high-dose vasopressor therapy. Chest. 2013;143(3):664–71.
Kotecha A, Vallabhajosyula S, Coville HH, Kashani K. Cardiorenal syndrome in sepsis: a narrative review. J Crit Care. 2018;43:122–7.
Keegan MT, Gajic O, Afessa B. Comparison of APACHE III, APACHE IV, SAPS 3, and MPM0III and influence of resuscitation status on model performance. Chest. 2012;142(4):851–8.
Johnson AE, Kramer AA, Clifford GD. A new severity of illness scale using a subset of Acute Physiology And Chronic Health Evaluation data elements shows comparable predictive accuracy. Crit Care Med. 2013;41(7):1711–8.
Aakre C, Franco PM, Ferreyra M, Kitson J, Li M, Herasevich V. Prospective validation of a near real-time EHR-integrated automated SOFA score calculator. Int J Med Inform. 2017;103:1–6.
Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, et al. Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock: 2016. Intensive Care Med. 2017;43(3):304–77.
Russell JA, Walley KR, Singer J, Gordon AC, Hebert PC, Cooper DJ, et al. Vasopressin versus norepinephrine infusion in patients with septic shock. N Engl J Med. 2008;358(9):877–87.
SV, JCJ, AKK and DHM contributed to study design, literature review, data analysis and statistical analysis. SV, JCJ, AAK and DHM contributed to data management, data analysis and drafting manuscript. SV, JCJ, AAK, DHM, EFB, AKK and VNI contributed to access to data. JCJ, EFB, AKK and VNI contributed to manuscript revision, intellectual revisions and mentorship. All authors read and approved the final manuscript.
All authors report no financial or intellectual conflicts of interest related to this manuscript.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Consent for publication
Ethics approval and consent to participate
This study was approved by the Mayo Clinic Institutional Review Board (IRB #16-005271) as minimal risk to subjects and a waiver of informed consent.
This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.
Slide Presentation, 47th Critical Care Congress, Society of Critical Care Medicine, San Antonio TX (February 2018)
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
About this article
Cite this article
Vallabhajosyula, S., Jentzer, J.C., Kotecha, A.A. et al. Development and performance of a novel vasopressor-driven mortality prediction model in septic shock. Ann. Intensive Care 8, 112 (2018). https://doi.org/10.1186/s13613-018-0459-6
- Septic shock
- MAVIC model