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Organizational factors associated with target sedation on the first 48 h of mechanical ventilation: an analysis of checklist-ICU database

Abstract

Background

Although light sedation levels are associated with several beneficial outcomes for critically ill patients on mechanical ventilation, the majority of patients are still deeply sedated. Organizational factors may play a role on adherence to light sedation levels. We aimed to identify organizational factors associated with a moderate to light sedation target on the first 48 h of mechanical ventilation, as well as the association between early achievement of within-target sedation and mortality.

Methods

This study is a secondary analysis of a multicenter two-phase study (prospective cohort followed by a cluster-randomized controlled trial) performed in 118 Brazilian ICUs. We included all critically ill patients who were on mechanical ventilation 48 h after ICU admission.

A moderate to light level of sedation or being alert and calm (i.e., the Richmond Agitation-Sedation Scale of − 3 to 0) was the target for all patients on mechanical ventilation during the study period. We collected data on the type of hospital (public, private, profit and private, nonprofit), hospital teaching status, nursing and physician staffing, and presence of sedation, analgesia, and weaning protocols. We used multivariate random-effects regression with ICU and study phase as random-effects and correction for patients’ Simplified Acute Physiology Score 3 and Sequential Organ Failure Assessment. We also performed a mediation analysis to explore whether sedation level was just a mediator of the association between organizational factors and mortality.

Results

We included 5719 patients. Only 1710 (29.9%) were on target sedation levels on day 2. Board-certified intensivists on the morning and afternoon shifts were associated with an adequate sedation level on day 2 (OR = 2.43; CI 95%, 1.09–5.38). Target sedation levels were associated with reduced hospital mortality (OR = 0.63; CI 95%, 0.55–0.72). Mediation analysis also suggested such an association, but did not suggest a relationship between the physician staffing model and hospital mortality.

Conclusions

Board-certified intensivists on morning and afternoon shifts were associated with an increased number of patients achieving lighter sedation goals. These findings reinforce the importance of organizational factors, such as intensivists’ presence, as a modifiable quality improvement target.

Background

The burden of oversedation has been recognized for many years [1], even after adjustment for potential confounders. In addition, strategies aiming at light sedation levels have consistently demonstrated efficacy in reducing time on mechanical ventilation, intensive care unit (ICU), and hospital length of stay [2, 3]. More recently, even deep sedation levels on the first 48 h of mechanical ventilation were associated with negative outcomes, including increased mortality [4, 5].

Despite the vast number of studies showing light sedation levels associated with positive outcomes in patients on mechanical ventilation, its adoption is far from being widespread. Observational studies suggest up to two thirds of patients on mechanical ventilation are deeply sedated [6,7,8,9,10]. In the checklist-ICU study, even if the intervention led to a higher compliance to predefined goals as compared with the control group, only 40.5% of patients on mechanical ventilation in the intervention group achieved the target sedation level [11].

Organizational factors and processes of care are associated with improved outcomes in critically ill patients such as high-intensity staffing ICUs [12, 13], continuity of care [14], multidisciplinary rounds [15], and adoption of protocols [16]. ICU context factors, such as safety culture, lack of leadership, and lack of interprofessional team support, may play a role as barriers to an effective implementation of a bundle of awaking and breathing coordination, delirium, and early mobilization [17]. However, no study evaluated what organizational factors were related to achieving sedation goals.

Therefore, we aimed to identify organizational factors that were associated with moderate to light sedation levels on the first 48 h of mechanical ventilation after ICU admission by performing a secondary analysis of a large quality improvement cluster-randomized RCT [11]. Additionally, we aimed to assess the association of early moderate to light sedation levels with hospital mortality.

Methods

Study design and patients

A detailed description of the checklist-ICU study has been published previously [11, 18]. In brief, the checklist-ICU study was conducted in two phases. In phase 1, we assessed organizational factors and clinical outcomes in 118 Brazilian adult ICUs from August 2013 to March 2014. In phase 2, these ICUs were randomized to a quality improvement intervention or to usual care from April to November 2014. The intervention consisted of a checklist and discussion of goals of care during daily multidisciplinary rounds, with follow-up clinician prompting to ensure checklist adherence and goals of care for all patients during their ICU length of stay. The checklist assessed prevention and management of common ICU problems (venous thromboembolism, ventilator-associated pneumonia, central line-associated bloodstream, urinary tract infection, nutritional, analgesia and sedation goals, adherence to low-tidal volume (≤ 8 ml/kg) ventilation, assessment of readiness for extubation, detection of sepsis and acute respiratory distress syndrome, and antibiotic initiation and stewardship). Specifically, for sedation goals, it was recommended that all patients on mechanical ventilation should have a target sedation level of − 3 to 0 in the Richmond Agitation-Sedation Scale (RASS). Other care processes, with the exception of the checklist, were unchanged between phases 1 and 2.

The ethics committees of all institutions approved the study. The funding source had no role in the analysis or publication decisions.

For this secondary analysis, we included patients from both study phases. Only patients 18 years or older who were on mechanical ventilation 48 h after ICU admission were included. We excluded patients with suspected or confirmed brain death, admitted with comfort only measures, and with a high probability of dying before 72 h of ICU stay.

Data collection

We gathered baseline information on age, sex, reason for admission, type of admission (clinical, elective or urgent surgery), illness severity [Simplified Acute Physiology Score (SAPS) 3 and Sequential Organ Failure Assessment (SOFA)], and in what phase of study the patient was included. We also collected ICU and hospital mortality and ICU and hospital length of stay.

Sedation was assessed using RASS at the multidisciplinary round on days 2, 5, 8, 11, 14, and 17 after ICU admission. A moderate to light level of sedation or being alert and calm (i.e., RASS − 3 to 0) was the target for all patients on mechanical ventilation during the study period. Patients with RASS levels ≤ − 4 and ≥ 1 were considered deeply sedated or agitated, respectively. For the purpose of the present study, we considered an “adequate” level of sedation if the patient was on target at each evaluation and “inadequate” if the patient was either deeply sedated or agitated.

We recorded the following organizational data related to the process of care of each participating ICU:

  • Type of hospital (public, private, profit and private, nonprofit);

  • Teaching status (whether the hospital is university-affiliated or not);

  • Presence of sedation, analgesia, and mechanical ventilation weaning protocols;

  • Presence of board-certified ICU nurse coordination;

  • Presence of at least one nurse technician for each two patients in all shifts; and

  • Presence of a board-certified intensivist on the morning and afternoon shifts (no; yes, but only in one shift; or yes, in both).

We recorded the latter information because in Brazil, all ICUs must have dedicated physicians 24/7, but these physicians may or may not be board-certified intensivists. However, a board-certified intensivist on the morning (usually 7 am to 1 pm) and afternoon (usually 1 pm to 7 pm) shifts is required by regulatory agencies in Brazil. The most common physician staffing model in Brazil is one composed by a non-intensivist physician for each 10 ICU beds in a 12-h shift (7 am to 7 pm) and an intensivist who may be present on the morning, afternoon, or both shifts. The intensivist can either lead multidisciplinary rounds (usually on the morning) or rounds with the other physicians. A board-certified intensivist is one who completed his/her 2-year training in critical care medicine. In Brazil, when the study was performed, physicians could apply for a critical care fellowship program after accomplishment of a residency program in internal medicine, general surgery, or anesthesiology.

Outcomes

The primary outcome of this study was the proportion of patients on a moderate to light level of sedation or being alert and calm (RASS − 3 to 0) on day 2. The secondary outcomes were the proportion of patients on the target sedation level on days 5, 8, 11, 14, and 17.

Statistical analysis

Continuous variables are presented as medians and interquartile ranges and compared with the Mann-Whitney test. Categorical variables are presented as absolute numbers and percentage and compared with the chi-square test or Fisher’s exact test, as appropriate. The number of patients on adequate levels of sedation is presented as percentage and 95% confidence intervals (CI), adjusted for SAPS 3 and SOFA.

We investigated the association between adequate sedation levels and organizational factors first adjusting for patients’ SAPS 3 and SOFA using a multivariate random-effects logistic regression with ICU and study phase as random-effects (added as random intercepts in the model) and then including variables related to organizational factors. The variables included in the regression were defined a priori (type of hospital, teaching status hospital, presence of sedation, analgesia and/or mechanical ventilation weaning protocols, board-certified ICU nurse coordination, nurse technician to patient ratio ≤ 1:2 in all shifts, and presence of board-certified intensivists on the morning and afternoon shifts). We calculated the generalized variance-inflation factor (GVIF) to detect multicollinearity. To make GVIFs comparable across dimensions, we also calculated GVIF^(1/2 × df), in which df are degrees of freedom of the variable [19]. If GVIF^(1/2 × df) was higher than 2, it would be considered an indication of multicollinearity, and then only the most clinical relevant variable would be included in the model.

We also assessed the association between the sedation level on day 2 and hospital mortality with a random-effects logistic regression model, adjusted for SAPS 3 and SOFA at the patient level, and with ICU and study phase as random-effects. We performed a mediation analysis to assess whether the sedation level was only a mediator of an effect of organizational factors on mortality.

All analyses were performed with R project version 3.4 with RStudio Version 1.1.456.

Results

A total of 13,638 patients were included in the original study. We included 5719 patients from 118 ICUs who were on mechanical ventilation on day 2 after ICU admission, 2783 in the observational phase and 2936 in the intervention phase. Most admissions were medical, and the main reasons for ICU admission were acute respiratory failure and sepsis. RASS levels were available for all patients on days 2, 5, 8, 11, 14, and 17. Only 1710 (29.9%) patients were at a RASS level of − 3 to 0 on the first 48 h of mechanical ventilation. Most patients (n = 3534, 61.8%) were deeply sedated. Only 475 (8.3%) were agitated.

Patients on adequate sedation levels were more frequently admitted for acute respiratory failure and had lower SAPS 3 and SOFA scores. Unadjusted ICU and hospital mortality were lower for patients with the target adequate sedation level. ICU and hospital length of stay were increased for patients with inadequate sedation levels (Table 1).

Table 1 Patients’ characteristics

The proportion of patients on adequate sedation levels increased during observation days from 29.9%(CI 95%, 28.7–31.1) on day 2 reaching a maximum of only 45.7%(CI 95%, 42.9–48.5) on day 17 (Fig. 1).

Fig. 1
figure 1

Proportion of patients on adequate sedation levels (i.e., RASS − 3 to 0) on each study assessment day

Regarding the organizational factors, having a board-certified intensivist on both the morning and afternoon shifts was the sole factor associated with patients on mechanical ventilation being at a light to moderate sedation level (OR = 2.43; CI 95%, 1.09–5.38) (Table 2). There was no multicollinearity among the included variables (Additional file 1: Table S1).

Table 2 Organizational factors and the target sedation level on day 2

A light to moderate sedation level on day 2 was associated with reduced hospital mortality when adjusted for SAPS 3 and SOFA (OR = 0.63; CI 95%, 0.55–0.72). The mediation model suggested that an adequate sedation level was significantly associated with hospital mortality (average causal mediation effect: b = − 0.0061; CI 95% − 0.0061 to < − 0.0001), but there was no direct effect of the physician staffing model (average direct effect: b = 0.0226; CI 95% − 0.0043 to 0.05000) on mortality (Additional file 1: Figure S1).

Discussion

Our study suggested that having a board-certified intensivist on the morning and afternoon shifts was the only organizational factor associated with achieving target sedation levels in patients on mechanical ventilation 48 h after ICU admission. Additionally, we demonstrated that light and moderate sedation levels are associated with reduced hospital mortality. Interestingly, the number of patients on target sedation levels increased as long as ventilation time increased.

Daytime high-intensity staffing is associated with improved outcomes, such as mortality, and reduced time on mechanical ventilation and ICU length of stay [12, 20, 21]. We can postulate that achievement of light sedation levels on the first 48 h of mechanical ventilation may be one possible mechanism of improved outcomes in high-intensity staffing levels, since physician staffing did not have any direct effect on mortality in mediation analysis. Additionally, despite protocols were previously associated with improved outcomes in critically ill patients [16], it seems it is not enough just to have them in an ICU, since sedation protocols did not decrease time on mechanical ventilation in some specific settings [22, 23]. Probably, jointly management by different professionals seems to be of paramount importance for protocols to achieve their goals [16]. Our study suggests that intensivists may have an important role in lighter sedation targets. It is possible that intensivists may be more aware of the importance of light sedation goals than non-intensivists. The presence of more intensivists in an ICU may, hence, ensure that this target will be pursued with more determination. Therefore, a high-intensity staffing model may be part of a system of care, which then leads to improved outcomes [24]. This is an important finding as it represents a potentially modifiable factor. However, the shortage of intensivists in low- and middle-income countries [25, 26] precludes a wider adoption of a daytime high-intensivists staffing model. It is unknown whether other models, such as telemedicine, may increase adherence to lighter sedation levels.

We observed a positive association between early light and moderate sedation levels and reduced mortality, adjusting for patient severity. This association had already been demonstrated in previous studies [7, 8, 27, 28] and confirmed in a meta-analysis [4]. However, this is the largest cohort to show this relation ever. Although not new, these findings reinforce the need to reach light sedation levels from the beginning of mechanical ventilation.

The majority of patients (61.8%) were deeply sedated in the first 48 h of mechanical ventilation in our study. This result is similar to that from other studies that addressed the impact of early sedation on mortality [7, 8], but represents an opportunity for improvement since deep sedation may play a role in the high mortality observed in critically ill patients on mechanical ventilation in Brazil [29]. As expected, a higher proportion of patients were at light and moderate sedation levels as the mechanical ventilation time increased. We believe there are two hypotheses for this finding. First, there is a generalized perception that acute severely ill patients need to be deep sedated, since most studies addressing strategies of light sedation included patients only after 48 h of mechanical ventilation [30, 31], and performing a tracheostomy reduces the use of sedatives [32]. Unfortunately, we did not collect any data on severity on subsequent days after ICU admission neither on tracheostomy in the original study to address these hypotheses.

Our study has some limitations. First, it is a secondary analysis of a study designed to evaluate the effectiveness of a multifaceted quality improvement strategy including a checklist in ICU. Thus, some important data regarding sedation practices, mechanical ventilation, and patients’ severity are missing (for example, type and dosage of sedatives used, more frequent RASS assessments, a daily SOFA, delirium assessment, and number of tracheostomies performed). Second, it was not possible, from our database, to identify if a deep sedation level was secondary to sedatives or to non-modifiable causes, such as an acute encephalopathy. Third, we also do not have data regarding clinical pharmacists, whose interventions on sedation may be associated with decreased mechanical ventilation times [33]. These missing data and other potential confounders may have affected our results. Fourth, all included ICUs are from Brazil. It is widely known that organizational factors and process of care hugely differ worldwide. Although daytime high-intensity staffing may be an outdated problem in high-income countries, only 54% of patients of the present study were admitted to ICUs with board-certified intensivists on the morning and afternoon shifts. Low-income countries have lower percentages of board-certified intensivists in ICU compared to high-income countries [16, 26].

Conclusions

Having board-certified intensivists on the morning and afternoon shifts was associated with an increased number of patients achieving lighter sedation goals. Lighter sedation goals are associated with decreased hospital mortality when adjusted for patients’ severity. Light sedation was more common as patients stay for more days on mechanical ventilation. These findings reinforce the importance of aiming a sedation level targeting an alert and calm patient early on mechanical ventilation and shed light on organizational factors that may increase adherence to this aim.

Abbreviations

CI:

Confidence interval

GVIF:

Generalize variance-inflation factor

ICU:

Intensive care unit

RASS:

Richmond Agitation-Sedation Scale

SAPS:

Simplified Acute Physiology Score

SOFA:

Sequential Organ Failure Assessment

References

  1. Kollef MH, Levy NT, Ahrens TS, Schaiff R, Prentice D, Sherman G. The use of continuous i.v. sedation is associated with prolongation of mechanical ventilation. Chest. 1998;114(2):541–8.

    Article  CAS  Google Scholar 

  2. Minhas MA, Velasquez AG, Kaul A, Salinas PD, Celi LA. Effect of protocolized sedation on clinical outcomes in mechanically ventilated intensive care unit patients: a systematic review and meta-analysis of randomized controlled trials. Mayo Clin Proc. 2015;90(5):613–23.

    Article  Google Scholar 

  3. Chanques G, Conseil M, Roger C, Constantin JM, Prades A, Carr J, Muller L, Jung B, Belafia F, Cisse M, et al. Immediate interruption of sedation compared with usual sedation care in critically ill postoperative patients (SOS-Ventilation): a randomised, parallel-group clinical trial. Lancet Respir Med. 2017;5(10):795–805.

    Article  Google Scholar 

  4. Stephens RJ, Dettmer MR, Roberts BW, Ablordeppey E, Fowler SA, Kollef MH, Fuller BM. Practice patterns and outcomes associated with early sedation depth in mechanically ventilated patients: a systematic review and meta-analysis. Crit Care Med. 2018;46(3):471–9.

    Article  Google Scholar 

  5. Shehabi Y, Bellomo R, Kadiman S, Ti LK, Howe B, Reade MC, Khoo TM, Alias A, Wong YL, Mukhopadhyay A, et al. Sedation intensity in the first 48 hours of mechanical ventilation and 180-day mortality: a multinational prospective longitudinal cohort study. Crit Care Med. 2018;46(6):850–9.

    Article  Google Scholar 

  6. Shehabi Y, Botha JA, Boyle MS, Ernest D, Freebairn RC, Jenkins IR, Roberts BL, Seppelt IM. Sedation and delirium in the intensive care unit: an Australian and New Zealand perspective. Anaesth Intensive Care. 2008;36(4):570–8.

    CAS  PubMed  Google Scholar 

  7. Shehabi Y, Bellomo R, Reade MC, Bailey M, Bass F, Howe B, McArthur C, Seppelt IM, Webb S, Weisbrodt L. Early intensive care sedation predicts long-term mortality in ventilated critically ill patients. Am J Respir Crit Care Med. 2012;186(8):724–31.

    Article  Google Scholar 

  8. Shehabi Y, Chan L, Kadiman S, Alias A, Ismail WN, Tan MA, Khoo TM, Ali SB, Saman MA, Shaltut A, et al. Sedation depth and long-term mortality in mechanically ventilated critically ill adults: a prospective longitudinal multicentre cohort study. Intensive Care Med. 2013;39(5):910–8.

    Article  Google Scholar 

  9. Gill KV, Voils SA, Chenault GA, Brophy GM. Perceived versus actual sedation practices in adult intensive care unit patients receiving mechanical ventilation. Ann Pharmacother. 2012;46(10):1331–9.

    Article  Google Scholar 

  10. Stephens RJ, Ablordeppey E, Drewry AM, Palmer C, Wessman BT, Mohr NM, Roberts BW, Liang SY, Kollef MH, Fuller BM. Analgosedation practices and the impact of sedation depth on clinical outcomes among patients requiring mechanical ventilation in the ED: a cohort study. Chest. 2017;152(5):963–71.

    Article  Google Scholar 

  11. Cavalcanti AB, Bozza FA, Machado FR, Salluh JI, Campagnucci VP, Vendramim P, Guimaraes HP, Normilio-Silva K, Damiani LP, Romano E, et al. Effect of a quality improvement intervention with daily round checklists, goal setting, and clinician prompting on mortality of critically ill patients: a randomized clinical trial. Jama. 2016;315(14):1480–90.

    Article  CAS  Google Scholar 

  12. Gershengorn HB, Harrison DA, Garland A, Wilcox ME, Rowan KM, Wunsch H. Association of intensive care unit patient-to-intensivist ratios with hospital mortality. JAMA Intern Med. 2017;177(3):388–96.

    Article  Google Scholar 

  13. Sakr Y, Moreira CL, Rhodes A, Ferguson ND, Kleinpell R, Pickkers P, Kuiper MA, Lipman J, Vincent JL. The impact of hospital and ICU organizational factors on outcome in critically ill patients: results from the Extended Prevalence of Infection in Intensive Care study. Crit Care Med. 2015;43(3):519–26.

    Article  Google Scholar 

  14. Whitehouse T, Hodson J, Pemberton P, Veenith T, Snelson C, Bion J, Rubenfeld GD. The association between visiting intensivists and ICU outcomes. Crit Care Med. 2017;45(6):949–55.

    Article  Google Scholar 

  15. Kim MM, Barnato AE, Angus DC, Fleisher LA, Kahn JM. The effect of multidisciplinary care teams on intensive care unit mortality. Arch Intern Med. 2010;170(4):369–76.

    Article  Google Scholar 

  16. Soares M, Bozza FA, Angus DC, Japiassu AM, Viana WN, Costa R, Brauer L, Mazza BF, Correa TD, Nunes AL, et al. Organizational characteristics, outcomes, and resource use in 78 Brazilian intensive care units: the ORCHESTRA study. Intensive Care Med. 2015;41(12):2149–60.

    Article  Google Scholar 

  17. Costa DK, White MR, Ginier E, Manojlovich M, Govindan S, Iwashyna TJ, Sales AE. Identifying barriers to delivering the awakening and breathing coordination, delirium, and early exercise/mobility bundle to minimize adverse outcomes for mechanically ventilated patients: a systematic review. Chest. 2017;152(2):304–11.

    Article  Google Scholar 

  18. Machado F, Bozza F, Ibrain J, Salluh F, Campagnucci VP, Guimaraes HP, Normilio-Silva K, Chiattone VC, Vendramim P, Carrara F, et al. A cluster randomized trial of a multifaceted quality improvement intervention in Brazilian intensive care units: study protocol. Implement Sci. 2015;10:8.

    Article  Google Scholar 

  19. Fox J, Monette G. Generalized collinearity diagnostics. J Am Stat Assoc. 1992;87(417):178–83.

    Article  Google Scholar 

  20. Wilcox ME, Chong CA, Niven DJ, Rubenfeld GD, Rowan KM, Wunsch H, Fan E. Do intensivist staffing patterns influence hospital mortality following ICU admission? A systematic review and meta-analyses. Crit Care Med. 2013;41(10):2253–74.

    Article  Google Scholar 

  21. Sultan OW, Boland LL, Kinzy TG, Melamed RR, Seatter SC, Farivar RS, Kirkland LL, Mulder M. Improved outcomes with integrated intensivist consultation for cardiac surgery patients. Am J Med Qual. 2018. https://doi.org/10.1177/1062860618766614.

  22. Bucknall TK, Manias E, Presneill JJ. A randomized trial of protocol-directed sedation management for mechanical ventilation in an Australian intensive care unit. Crit Care Med. 2008;36(5):1444–50.

    Article  CAS  Google Scholar 

  23. Curley MA, Wypij D, Watson RS, Grant MJ, Asaro LA, Cheifetz IM, Dodson BL, Franck LS, Gedeit RG, Angus DC, et al. Protocolized sedation vs usual care in pediatric patients mechanically ventilated for acute respiratory failure: a randomized clinical trial. Jama. 2015;313(4):379–89.

    Article  CAS  Google Scholar 

  24. Vinci RJ, Melendez E. Bundled strategies for the care of children with presumed sepsis. Jama. 2018;320:345–6 United States.

    Article  Google Scholar 

  25. Estenssoro E, Alegria L, Murias G, Friedman G, Castro R, Nin Vaeza N, Loudet C, Bruhn A, Jibaja M, Ospina-Tascon G, et al. Organizational issues, structure, and processes of care in 257 ICUs in Latin America: a study from the Latin America intensive care network. Crit Care Med. 2017;45(8):1325–36.

    Article  Google Scholar 

  26. Arabi YM, Phua J, Koh Y, Du B, Faruq MO, Nishimura M, Fang WF, Gomersall C, Al Rahma HN, Tamim H, et al. Structure, organization, and delivery of critical care in Asian ICUs. Crit Care Med. 2016;44(10):e940–8.

    Article  Google Scholar 

  27. Tanaka LMS, Azevedo LCP, Park M, Schettino G, Nassar AP, Re’a-Neto A, Tannous L, de Souza-Dantas VC, Torelly A, Lisboa T et al: Early sedation and clinical outcomes of mechanically ventilated patients: a prospective multicenter cohort study. Crit Care. 2014;18(4):R156.

  28. Balzer F, Weiss B, Kumpf O, Treskatsch S, Spies C, Wernecke KD, Krannich A, Kastrup M. Early deep sedation is associated with decreased in-hospital and two-year follow-up survival. Crit Care. 2015;19:197.

    Article  Google Scholar 

  29. Azevedo LC, Park M, Salluh JI, Rea-Neto A, Souza-Dantas VC, Varaschin P, Oliveira MC, Tierno PF, dal-Pizzol F, Silva UV, et al. Clinical outcomes of patients requiring ventilatory support in Brazilian intensive care units: a multicenter, prospective, cohort study. Crit Care. 2013;17(2):R63.

    Article  Google Scholar 

  30. Kress JP, Pohlman AS, O’Connor MF, Hall JB. Daily interruption of sedative infusions in critically ill patients undergoing mechanical ventilation. N Engl J Med. 2000;342(20):1471–7.

    Article  CAS  Google Scholar 

  31. Mehta S, Burry L, Cook D, Fergusson D, Steinberg M, Granton J, Herridge M, Ferguson N, Devlin J, Tanios M, et al. Daily sedation interruption in mechanically ventilated critically ill patients cared for with a sedation protocol: a randomized controlled trial. JAMA. 2012;308(19):1985–92.

    Article  CAS  Google Scholar 

  32. Young D, Harrison DA, Cuthbertson BH, Rowan K. Effect of early vs late tracheostomy placement on survival in patients receiving mechanical ventilation: the TracMan randomized trial. Jama. 2013;309(20):2121–9.

    Article  CAS  Google Scholar 

  33. Marshall J, Finn CA, Theodore AC. Impact of a clinical pharmacist-enforced intensive care unit sedation protocol on duration of mechanical ventilation and hospital stay. Crit Care Med. 2008;36(2):427–33.

    Article  Google Scholar 

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Funding

This study was conducted as part of the Program to Support Institutional Development of Universal Health System (PROADI) from the Brazilian Ministry of Health. It was funded mainly by the Brazilian Health Surveillance Agency (ANVISA), PROADI, and Brazilian Development Bank (BNDES). The funding bodies had no role in the design of the study, collection, analysis and interpretation of data, and in writing the manuscript.

Availability of data and materials

The datasets used during the current study are available from the corresponding author on request.

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Contributions

APNJ conceived of the study and wrote the manuscript. LPD analyzed the data. FGZ, JS, HPN, FRM, and ABC were major contributors on the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Antonio Paulo Nassar Jr.

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The ethics committees of all institutions approved the study. All patients or their surrogate decision makers provided written informed consent for their participation in the study.

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The authors declare that they have no competing interests.

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Additional file

Additional file 1:

Table S1. Generalized variance-inflation factor (GVIF) of the variables included in the logistic regression model. Df: degrees of freedom. GVIF: Generalized variance-inflation factor. SAPS: Simplified Acute Physiology Score. SOFA: Sequential Organic Failure Assessment. Figure S1. Mediation model. The mediation analysis suggested that sedation level was associated with hospital mortality [average causal mediation (ACME) effect: b=−0.0061; CI95% −0.0061 to <−0.0001], but board certified intensivists on morning and afternoon shifts were not [average direct effect (ADE): b=0.0226; CI95% −0.0043 to 0.05000]. (DOCX 28 kb)

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Nassar, A.P., Zampieri, F.G., Salluh, J.I. et al. Organizational factors associated with target sedation on the first 48 h of mechanical ventilation: an analysis of checklist-ICU database. Crit Care 23, 34 (2019). https://doi.org/10.1186/s13054-019-2323-y

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