Document Detail

Sedation depth and long-term mortality in mechanically ventilated critically ill adults: a prospective longitudinal multicentre cohort study.
Jump to Full Text
MedLine Citation:
PMID:  23344834     Owner:  NLM     Status:  Publisher    
PURPOSE: To ascertain the relationship among early (first 48 h) deep sedation, time to extubation, delirium and long-term mortality. METHODS: We conducted a multicentre prospective longitudinal cohort study in 11 Malaysian hospitals including medical/surgical patients (n = 259) who were sedated and ventilated ≥24 h. Patients were followed from ICU admission up to 28 days in ICU with 4-hourly sedation and daily delirium assessments and 180-day mortality. Deep sedation was defined as Richmond Agitation Sedation Score (RASS) ≤-3. RESULTS: The cohort had a mean (SD) age of 53.1 (15.9) years and APACHE II score of 21.3 (8.2) with hospital and 180-day mortality of 82 (31.7 %) and 110/237 (46.4 %). Patients were followed for 2,657 ICU days and underwent 13,836 RASS assessments. Midazolam prescription was predominant compared to propofol, given to 241 (93 %) versus 72 (28 %) patients (P < 0.0001) for 966 (39.6 %) versus 183 (7.5 %) study days respectively. Deep sedation occurred in (182/257) 71 % patients at first assessment and in 159 (61 %) patients and 1,658 (59 %) of all RASS assessments at 48 h. Multivariable Cox proportional hazard regression analysis adjusting for a priori assigned covariates including sedative agents, diagnosis, age, APACHE II score, operative, elective, vasopressors and dialysis showed that early deep sedation was independently associated with longer time to extubation [hazard ratio (HR) 0.93, 95 % confidence interval (CI) 0.89-0.97, P = 0.003], hospital death (HR 1.11, 95 % CI 1.05-1.18, P < 0.001) and 180-day mortality (HR 1.09, 95 % CI 1.04-1.15, P = 0.002), but not time to delirium (HR 0.98, P = 0.23). Delirium occurred in 114 (44 %) of patients. CONCLUSION: Irrespective of sedative choice, early deep sedation was independently associated with delayed extubation and higher mortality, and thus was a potentially modifiable risk in interventional trials.
Yahya Shehabi; Lucy Chan; Suhaini Kadiman; Anita Alias; Wan Nasrudin Ismail; Mohd Ali T Ismail Tan; Tien Meng Khoo; Saedah Binti Ali; Mat Ariffin Saman; Ahmad Shaltut; Cheng Cheng Tan; Cow Yen Yong; Michael Bailey;
Related Documents :
10951314 - Treatment of severe glaucomatous visual field deficit by chiropractic spinal manipulati...
23975684 - Identifying predictors of hospice eligibility in patients with parkinson disease.
20890244 - An observational retrospective subgroup analysis of verteporfin photodynamic therapy-na...
20798954 - Fyodorov-zuev keratoprosthesis implantation: long-term results in patients with multipl...
7130414 - Implosive therapy in the treatment of combat related fears in a world war ii veteran.
11696294 - Restenosis in saphenous vein grafts.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-24
Journal Detail:
Title:  Intensive care medicine     Volume:  -     ISSN:  1432-1238     ISO Abbreviation:  Intensive Care Med     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7704851     Medline TA:  Intensive Care Med     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Department of Intensive Care, University New South Wales Clinical School, The Prince of Wales Hospital, Barker St., Randwick, NSW, 2031, Australia,
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Full Text
Journal Information
Journal ID (nlm-ta): Intensive Care Med
Journal ID (iso-abbrev): Intensive Care Med
ISSN: 0342-4642
ISSN: 1432-1238
Publisher: Springer-Verlag, Berlin/Heidelberg
Article Information
Download PDF
© The Author(s) 2013
Received Day: 4 Month: 8 Year: 2012
Accepted Day: 22 Month: 12 Year: 2012
Electronic publication date: Day: 24 Month: 1 Year: 2013
pmc-release publication date: Day: 24 Month: 1 Year: 2013
Print publication date: Month: 5 Year: 2013
Volume: 39 Issue: 5
First Page: 910 Last Page: 918
PubMed Id: 23344834
ID: 3625407
Publisher Id: 2830
DOI: 10.1007/s00134-013-2830-2

Sedation depth and long-term mortality in mechanically ventilated critically ill adults: a prospective longitudinal multicentre cohort study
Yahya ShehabiAff1Aff14 Address: +61-2-93824721 +61-4-19296986 +61-2-93824870
Lucy ChanAff2
Suhaini KadimanAff3
Anita AliasAff4
Wan Nasrudin IsmailAff5
Mohd Ali T. Ismail TanAff6
Tien Meng KhooAff7
Saedah Binti AliAff8
Mat Ariffin SamanAff9
Ahmad ShaltutAff10
Cheng Cheng TanAff11
Cow Yen YongAff12
Michael BaileyAff13
The Sedation Practice in Intensive Care Evaluation (SPICE) Study Group investigators
Department of Intensive Care, University New South Wales Clinical School, The Prince of Wales Hospital, Barker St., Randwick, NSW 2031 Australia
Department of Anesthesiology, Faculty of Medicine, University of Malaya, Lembah Pantai, 50603 Kuala Lumpur, Malaysia
National Heart Institute (Institut Jantung Negara), 145 Jalan Tun Razak, 50400 Kuala Lumpur, Malaysia
Department of Anesthesia and Intensive Care, Hospital Melaka, Jalan Mufti Hj Khalil, 75400 Melaka, Malaysia
Hospital Raja Perempuan Zainab II Kota Bahru–HKB, Kelantan, Malaysia
Department of Anesthesia and Intensive Care, General ICU, Kuala Lumpur General Hospital, Jalan Pahang, 50586 Kuala Lumpur, Malaysia
Department of Anesthesiology and Intensive Care, Hospital Queen Elizabeth, 88586 Kota Kinabalu, Sabah Malaysia
Department of Anesthesiology, School of Medicine, Hospital University Sains Malaysia, Health Campus, 16150 Kota Bahru, Kelantan Malaysia
Department of Anesthesiology and Intensive Care, Sarawak General Hospital, Jalan Hospital, 93586 Kuching, Sarawak Malaysia
Hospital Sultanah Bahiyah, Alor Setar, HAS, Kedah, Malaysia
ICU Selatan, 2nd Floor, Hospital Sultanah Aminah, Jalan Persiaran Abu Bakar, Johor Bahru, Johor Malaysia
Penang General Hospital, PGH, Penang, Malaysia
Australian New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine Monash University, Melbourne, Australia
University New South Wales, Prince of Wales Hospital, Sydney, Australia


Sedation is an integral part of intensive care practice to minimise patient discomfort and anxiety, facilitate mechanical ventilation and allow essential intensive care procedures [1, 2]. Complications associated with sedative prescription and in particular deep sedation with adverse outcomes have been well described [3, 4]. Reports of shorter ventilation time, shorter ICU stay and attenuation of delirium with protocols targeting light sedation [58] highlight the need to avoid deep sedation proactively [9].

There are no reliable data on the compliance of intensive care clinicians with published guidelines or the implementation of protocols to promote light sedation [10]. A meta-analysis has reported that most sedation trials failed to achieve optimal sedation, and more than two-thirds of studies reported inappropriate deep sedation [11]. Sedation practice surveys did not assess patients longitudinally and are therefore unable to draw conclusions on the incidence of deep sedation or its association with relevant outcomes [1214].

Randomised clinical trials and observational cohort studies have largely not accounted for the early prescription of sedative agents or the early depth of sedation, in particular in the first 48 h after the initiation of mechanical ventilation. Early deep sedation is therefore a risk factor that may be overlooked while clinicians’ attention focuses on more pressing issues and priorities. The occurrence of early deep sedation, therefore, can have a significant confounding effect on the results of sedation trials if not taken into consideration.

The Australian New Zealand sedation practice in intensive care evaluation (ANZ SPICE) study [15] revealed that early sedation depth predicts important outcomes such as mortality. To assess the strength of this relationship outside an ANZ model of care, we replicated the ANZ SPICE in Malaysian ICUs. In this prospective, longitudinal, multicentre cohort study, we assessed current sedation practice and the prevalence of deep sedation, particularly early after initiation of mechanical ventilation, and quantified the relationship between early deep sedation and important clinical outcomes including time to extubation, delirium and hospital and 180-day mortality.

Materials and methods
Study design and process

We conducted a multicentre, prospective, longitudinal, observational, non-interventional cohort study in 11 ICUs (8 public, 2 university and 1 tertiary specialist centres) in Malaysia from March to July 2011 using the ANZ SPICE protocol [15]. All participating ICUs were managed by full-time intensivists and/or anaesthesiologists with a 24/7 on-duty senior medical officer. In ventilated patients, the nurse:patient ratio was 1:2 in most ICUs. The study was approved by The National Medical Research Register and consent waived by the institutional ethics committee at participating sites.

The study was conducted in collaboration with the ANZ Intensive Care Research Centre (ANZIC RC) and the Monash University Centre for Clinical Research Excellence in Therapeutics. A streamlined case report form with Optical Recognition Software was used and sent to the ANZIC RC for data entry, data queries and analysis.

Inclusion and exclusion criteria

Patients were included if they had been ventilated within the previous 24 h, were receiving continuous or intermittent sedative and/or analgesic medication and were expected to be ventilated for longer than 24 h. Patients were excluded if they were <18 years, had proven or suspected neurological impairment, psychiatric illness, burns, dementia, palliative care or were unable to communicate with carers/investigators because of language difficulty. No centre recruited more than 30 patients.

Study logistics

Principal investigators, research staff and senior nurses at each participating centre were trained in the study procedures, including bedside twin assessment of patients using the Richmond Agitation and Sedation Scale (RASS) [16] and the confusion assessment method for intensive care (CAM-ICU) [17]. Assessors were allowed to use local dialects (English, Malay, Hindi, Mandarin or Cantonese) to communicate with patients. To conduct the inattention (feature II) part of the CAM-ICU in patients who had difficulty with the alphabet, numbers were used (ten random numbers where the number 3 was repeated four times) instead of the (SAVEAHAART) phrase [18]. CAM-ICU was conducted ONLY if patients were in a RASS range of −2 to +1 (lightly sedated).

Definitions and data collection methods

Relevant baseline demographic data including hospital and ICU admission details and Acute Physiology and Chronic Health Evaluation II (24-h APACHE II) scores were collected [19].

Patients were followed from ICU admission to ICU discharge or 28 days in the ICU, which ever came first. The first 48 h following initiation of mechanical ventilation was considered “early” and >48 h the “subsequent” period. RASS was assessed every 4 h and CAM-ICU assessed daily by trained nurses or principal investigators. Patients in a RASS range of −2 to +1 were considered lightly sedated, RASS range of −3 to −5 deeply sedated and >2 agitated. Patients were considered delirious if the CAM-ICU was positive. Patients were considered coma and delirium free if they had a RASS above −3 with a negative CAM-ICU score. Administration details and dosage of all sedative, analgesic and adjunct medications (intravenous infusion or bolus) were collected daily. Survival status at ICU and hospital discharge and at 180 days was collected. Only patients who reside in Malaysia were followed for 180-day mortality.

Statistical analysis

The statistical analysis was modelled on that used in the ANZ SPICE [15] and independently conducted at the ANZIC RC, Monash University, Centre for Clinical Research Excellence in Therapeutics.

Sample size

Based on the ANZIC SPICE data, 260 patients would have 90 % power with a two-sided p value of 0.05 to detect a difference of 2 in the number of times deep sedation was reported in the first 48 h between patients who died or survived. This would also allow 80 % power to identify point estimates within 5 % of the true value of an event assuming it occurred in 10 % of patients.

Statistical analysis

All patients were included in the analysis. Comparisons of proportions were performed using chi-square tests for equal proportions or Fisher’s exact tests where appropriate. Normally distributed continuous variables were compared using Student’s t tests. Non-normally distributed variables were compared using Wilcoxon rank-sum tests.

RASS scores were treated as ordinal data; however, the RASS range of deep sedation (−3 to −5) was considered a continuous variable with every additional RASS level in the deep sedation range adding to the intensity of sedation depth. Early deep sedation was the primary exposure variable in the time to event analysis of outcomes occurring after 48 h: time to extubation, time to subsequent delirium, time to hospital death and 180-day mortality. Time to event analysis was performed using Cox proportional hazard regression and reported as hazard ratios (95 % CI) and as Kaplan-Meier curves with a corresponding log-rank test. All patients with an ICU stay greater than 48 h were included in the Kaplan-Meier estimates with conventional censoring at the time of death. Adjustment of observed effects due to known or suspected potential confounders was undertaken using multivariable analysis using a list of a priori defined covariates comprising APACHE III diagnosis (cardiac, respiratory, gastrointestinal, sepsis or other), age, sex, APACHE II score, operative admission (surgical), elective admission and the cumulative doses of midazolam and dexmedetomidine, and the use of vasopressors and dialysis within the first 48 h of admission. All patients with ICU lengths of stay less than 48 h were excluded from the multivariate analysis. A two-sided p value of 0.05 was considered to be statistically significant. Analysis was performed using SAS version 9.2 (SAS Institute Inc., Cary, NC, USA) and STATA version 11.0 (StataCorp LP College Station, TX, USA).

Patients’ demographics and baseline characteristics

We enrolled 259 patients; the main source of admission was from the general ward and emergency department (166) 64 %, with only (35) 13.5 % of patients admitted after elective surgery. Mortality at 6 months was 46.4 %; loss to follow-up occurred in (22) 8.5 % patients. Baseline demographics and clinical characteristics for the primary cohort and for patients who were lightly sedated versus those who were deeply sedated at 48 h are shown in Table 1.

Sedative and analgesic prescription
Overall therapy

Patients were followed up to a total of 2,657 ICU days, of which 72.8 % (1,935) were ventilated days and 91.8 % (2,439) days in which sedative and/or analgesic medications were administered. Midazolam was the predominant sedative agent given to 93 % (241) of patients on 39.6 % (966) of study days. Propofol prescription was significantly less and only given to 74 (28 %) (P < 0.0001 compared with midazolam) of patients on 7.5 % (183) of study days. The primary analgesics used were morphine and fentanyl in 77.6 % (199) and 60.2 % (156) (P < 0.001) of patients respectively. Dexmedetomidine was given to 29.3 % (76) of patients. Adjunct medications such as haloperidol, diazepam and ketamine were uncommonly used in 8.9 % (21), 2.3 % (6) and 5.8 % (14) of patients respectively.

Prescription over first 48 h

In the 48 h following initiation of mechanical ventilation, most patients received midazolam [88.4 % (229)] and/or morphine [71.4 % (185)] and/or fentanyl [40.5 %(105)]. Dexmedetomidine and propofol were given to 16.2 % (42) and 10 % (26) of patients respectively. Table 2 shows the sedative, analgesic and adjunct drug administration in the first 48 h and throughout the study period including cumulative per patient, per day dosage and the number of prescription days for each agent.

Early and subsequent sedation level

Over a total of 2,657 ICU study days, 13,836 RASS assessments were made. At first assessment, 71 % (182/257) of patients were in the deep sedation range (RASS −3 to −5). Of all RASS assessments conducted early (first 48 h), 58 % (1,658) were in the deep sedation range, 39.3 % (1,124) in the light sedation range (−2 to +1) and 2.8 % (80) in the RASS range of 2–4. During the first 48 h after initiation of mechanical ventilation, the median (IQR) of all RASS scores was −3 [−4−(−1)]. At the end of 48 h, 61 % (159) of patients were still deeply sedated.

After 48 h and subsequently throughout the study period, the median (IQR) RASS scores were −1 [−3−0], with 34 % (4,528/13,319) of RASS assessments in the deep sedation range, 62.4 % (8,311/13,319) in the lightly sedated range, and only 3.5 % (466/13,319) RASS assessments were between 2 and 4. There was a significant difference in the intensity of sedation scored in the first 48 h compared with subsequent study days (Fig. 1).

The main reported indications for deep sedations were controlled ventilation 64.9 % (288/444) and concurrent muscle relaxation and severe agitation 35.1 % (156/444) of days where an indication for deep sedation was present. Clinicians prescribed a sedation target on 22.8 % (3,074/13,481) of occasions, and the target was achieved in 47 % (1,446) of assessments. Deliberate cessation of all sedatives and analgesics occurred on 20 % (485/24,240) of study days; however, routine daily sedation interruption was rarely implemented in only 2.3 % (56) of days.

Throughout the study period, neuromuscular blockers were used on 4.1 % (100) of ICU days, while physical restraints were used on 21.1 % (515) of days. Self extubation was recorded in 0.4 % (10) of episodes.

Occurrence of delirium

Delirium (positive CAM-ICU during RASS −2 to +1) was reported in 27.4 % (20/73) of patients at first assessment and in 44 % (114) of patients throughout the study period for a median (IQR) of 2 (1–4) days. In patients who stayed >8 days in the ICU, delirium was present in 50 % (33/66) and 68.9 % (31/45) of patients who stayed in the ICU longer than 14 days. Coma and delirium-free days at 28 days were significantly more in patients lightly sedated in the first 48 h (Table 1).

Early sedation depth and clinical outcomes

Kaplan-Meier estimates showed that the patients who were deeply sedated at 48 h had a significantly longer time to extubation (log-rank P = 0.008) (Fig. 2) and higher hospital (log-rank P = 0.004) and 180-day mortality (log-rank P = 0.001) (Fig. 3). Univariate analysis showed that time to delirium after 48 h was also significantly shorter with early deep sedation (OR 0.64 95 % CI 0.57–0.73, P < 0.001).

Multivariable Cox proportional hazard regression, adjusted for relevant covariates (Table 3), showed that the occurrence of every additional RASS in the −3 to −5 range was independently associated with a reduced chance of shorter time to extubation (HR 0.93, 95 % CI 0.89–0.97, P = 0.0001), hospital death (HR 1.11, 95 % CI 1.04–1.18, P < 0.001) and 180-day mortality (HR 1.10, 95 % CI 1.04–1.15, P = 0.002). Trend analysis using the Cochran-Mantel-Haenszel test showed that these associations were approximately linear (0.03). Early deep sedation was not associated with time to delirium occurring after 48 h (HR 0.98, P = 0.46).

Multivariable analysis with hospital mortality showed that early deep sedation (HR 1.13, 95 % CI 1.06–1.20, P < 0.0001), APACHE II (HR 1.04, 95 % CI 1.00–1.08, P = 0.04) and a cardiac admission diagnosis (HR 3.51, 95 % CI 1.31–9.44, P = 0.01) were associated with hospital mortality.

Adjusted multivariable analysis also showed that the cumulative dose of midazolam in the first 48 h was associated with the RASS −3 to −5, but it was not associated with time to extubation, delirium or death. The cumulative dose of dexmedetomidine in the first 48 h, however, was significantly associated with delayed time to delirium occurring after 48 h (HR 1.41 95 % CI 1.13–1.76, P = 0.002).

Main findings

We identified a significant independent relationship between the intensity of sedation in the first 48 h (early) after initiation of mechanical ventilation and important clinical outcomes. Early deep sedation was independently associated with time to extubation and mortality. The occurrence of every additional RASS assessment in the deep sedation range was associated with a 13 % increase in the risk of death at hospital discharge (and 10 % at 6 months) and a 7 % delay in extubation (8.5 h). All these associations remained significant after adjusting for multiple covariates including sedative choice, admission diagnosis and severity of illness.

We also found that midazolam and morphine were the most commonly used agents for sedation and analgesia in Malaysian ICUs for patients ventilated for longer than 24 h, and the use of propofol was less frequent.

Other studies on sedation-related outcomes

Our findings are consistent with findings of the ANZ SPICE study [15] cohort and lend strong support to the notion that early deep sedation is an important and potentially modifiable risk factor for delayed time to extubation and increased mortality. Furthermore, our results suggest that these findings are neither confined to an ANZ ICU model of care nor determined by a particular sedative regimen. Thus, it is plausible that these findings are generalisable to a wider intensive care setting and that early deep sedation may be a global problem associated with poor outcome.

Patients enrolled in this cohort have similar characteristics to patients recruited in the ANZ SPICE study [15] and in other observational [20] and interventional studies [21, 22] with a high APACHE II score and primarily medical diagnoses with standard ICU interventions. The intensity of sedation depth reported at enrolment, early and throughout the study period is comparable to that reported in the ANZ SPICE [15] study. All of this provides external validity and confidence that our findings may be applicable to similar cohorts.

Randomised trials of sedation practice have largely ignored this early period following initiation of mechanical ventilation and do not account for sedation practice and sedation depth prior to randomisation. In the largest sedation trials published so far, including the most recent randomised twin trials of sedation [23, 24], patients were randomised up to 72–96 h after ICU admission, potentially limiting the full treatment effect of the interventions tested.

Our study is the first to report the incidence of delirium in Malaysian ICUs. Although the CAM-ICU was only assessed during light sedation, 44 % of patients developed an episode of delirium. It is possible that delirium was underdiagnosed in our cohort; however, our patients were on average a few years younger than those in ANZ SPICE, inferring a lower risk of delirium. Although reduced sensitivity of the CAM-ICU has been reported [25, 26], delirium was methodologically and diligently assessed in our cohort by trained research and study staff. While sedative induced coma is believed to increase the risk of delirium [27], we did not find early deep sedation or the cumulative dose of sedative agents to independently predict time to delirium. Dexmedetomidine given in the first 48 h, however, independently predicted delayed time to delirium occurring after 48 h.

Studies of sedation depth

Reducing overall deep sedation has been shown to improve a variety of clinical outcomes. Strategies to reduce sedation depth included sedation interruption [5], protocolised sedation [6, 8, 28] and analgo-sedation [7]. All appear to lead to shorter ventilation time, attenuation of delirium and trend to reduced mortality. It is important, however, to implement strategies to reduce sedation depth early after initiation of mechanical ventilation. This would be more challenging in the context of a randomised clinical trial.

The practice of daily sedation interruption was not common in our cohort. Multiple reports [21, 22, 29] questioned the utility of routine sedation interruption where sedation algorithms are routinely used.

Our study supports the need for an adequately powered process of care sedation trial that addresses the problem of early deep sedation. This can be achieved through early delivery of interventions, which are likely to reduce the intensity of early and subsequent sedation while providing comfort and safety to patients. Such interventions may combine the use of agents known to promote light cooperative sedation such as propofol [30] or dexmedetomidine [23, 24] with targeted light sedation. Importantly, future trials should assess long-term patient-centred outcomes such as mortality and cognitive function as the main outcomes.

Strengths and limitations

The primary strengths of our study were the detailed and comprehensive assessment of patients from ICU admission (including the crucial first 48 h) to 28 days and an 180-day follow-up. This is the first study of this nature to be conducted outside the developed world; however, the study was supported by an experienced research methods centre and centrally coordinated and monitored; thus, the data quality was high. Robust statistical methods assessing time-to-event analysis using multivariate Cox proportional hazard regression adjusting for a priori selected covariates were used. Cohort studies, however, cannot establish causation, and unmeasured confounders could not be adjusted for in the statistical model.


In mechanically ventilated critically ill patients with mainly medical ICU admission diagnoses, the intensity of sedation in the first 48 h after initiation of mechanical ventilation was independently associated with time to extubation and mortality. These findings strengthen the premise that early sedation depth is a potentially modifiable target to improve important clinical outcomes and a universal problem in intensive care sedation worldwide. Future sedation trials should account for the choice of sedative agents and sedative delivery shortly after initiation of mechanical ventilation.


Participating centers and co-investigators are listed in the Appendix.

Participating centers and co-investigators

University of Malaya: Dr. KK Wong, Dr. Suresh Venugopal, Dr. Vineya Rai, Dr. Mohd Shahnaz, Vimala Ramoo (Nurse Lecturer). National Heart Institute: Dr. Smitha Jose, Dr. Ozlem Ozturk, SN Zuraida Ramlee, Staff Nurse Bong Siu Foon, Staff Nurse Rohana Amran. Hospital Melaka: Dr. R.K. Anusha Narula, Dr. Erin Shazrin Md Ramly, Dr. Khalidah Abdul Hapiz, Dr. Lim I-Liang, Dr. Mohamad Hafiz Che Morad. Hospital Raja Perempuan Zainab II: Dr. Mohd Nazri Ali, Dr. H. Noor Raihan, Sister I. Azizum, Staff Nurse Y. Suzana, Staff Nurse H. Haryati. Kuala Lumpur General Hopsital: Staff Nurse S. Salmi Zawati, Staff Nurse J. Nur Ismee. Hospital Queen Elizebeth: Dr. Mohd Ashraf Zulkarnain. Hospital University Sains Malaysia: Assoc. Prof. Dr. Mahamarowi Omar, Dr. Siti Aisah Omar, Sister Rokian Ismail, Staff Nurse Norhamilah Hassan, Staff Nurse Zanariah Zakaria. Sarawak General Hospital: Dr. Sanah Mohtar, Dr. Marina Ahmad, Staff Nurse Winnie Suai, Staff Nurse Wong Ai Li, Staff Nurse Jong Siaw Lan. Hospital Sultanah Bahiyah: Dr. S. Siti Rohayah. Dr. Fitriah Mahadir, Staff Nurse Teoh Shook Lian, Staff Nurse Maryam Md Zain, Staff Nurse Noorasmah Ahmad. Hospital Sultanah Aminah: Dr. K. Mahazir, Staff Nurse A’ishah Abu Bakar. Penang General Hospital: Dr. Ho Wing Nan, Sister Tan Ai Ping, Sister Chin Lai Ngan, Dr. Lim Chiew Har, Dato Dr. Jahizah Hassan.

We are grateful for the assistance rendered by support staff, nurses and doctors in the participating centres. We thank Ms. Norfazlina Jaffar at the National Heart Institute, Kuala Lumpur. We thank Ms. Belinda Howe at the Australian New Zealand Intensive Care Research Centre for study coordination and the staff of the Clinical Informatics and Data Management Unit CCRET, Monash University. The project received funding from the National Heart Institute Foundation Kuala Lumpur, Malaysia.

Conflicts of interest

No relevant conflicts of interest are declared.

1.. Jacobi J,Fraser GL,Coursin DB,et al. Clinical practice guidelines for sustained use of sedatives and analgesics in the critically ill adults: Task Force of the American College of Critically Care Medicine (ACCM) of Society of Critical Care Medicine (SCCM), American Society of Health-System Pharmacists (ASHP), American College of Chest PhysiciansCrit Care MedYear: 20023011914110.1097/00003246-200201000-0002011902253
2.. Payen JF,Chanques G,Mantz J,et al. Current practices in sedation and analgesia for mechanically ventilated critically ill patients: a prospective multicenter patient-based studyAnesthesiologyYear: 200710668769510.1097/01.anes.0000264747.09017.da17413906
3.. Devlin JW. The pharmacology of over sedation in mechanically ventilated adultsCurr Opin Crit CareYear: 20081440340710.1097/MCC.0b013e32830280b318614903
4.. Foster J. Complications of sedation and critical illnessCrit Care Nurs Clin North AmYear: 20051728729610.1016/j.ccell.2005.04.01216115537
5.. Kress JP,Pohlman AS,O’Connor MF,et al. Daily interruption of sedative infusions in critically ill patients undergoing mechanical ventilationN Engl J MedYear: 20003421471147710.1056/NEJM20000518342200210816184
6.. Skrobik Y,Ahern S,Leblanc M,Marquis F,Awissi DK,Kavanagh BP. Protocolized intensive care unit management of analgesia, sedation, and delirium improves analgesia and subsyndromal delirium ratesAnesth AnalgYear: 201011145146310.1213/ANE.0b013e3181d7e1b820375300
7.. Strøm T,Martinussen T,Toft P. A protocol of no sedation for critically ill patients receiving mechanical ventilation: a randomised trialLancetYear: 201037547548010.1016/S0140-6736(09)62072-920116842
8.. Teggiari MM,Romand JA,Yanez ND,et al. Randomized trial of light versus deep sedation on mental health after critical illnessCrit Care MedYear: 2009372527253410.1097/CCM.0b013e3181a5689f19602975
9.. Patel SB,Kress JP. Sedation and Analgesia in the mechanically ventilated patientAm J Respir Crit Care MedYear: 201218548649710.1164/rccm.201102-0273CI22016443
10.. Mehta S,McCullagh I,Burry L. Current sedation practices: lessons learned from international surveysCrit Care ClinYear: 20092547148810.1016/j.ccc.2009.04.00119576525
11.. Jackson DL,Proudfoot CW,Cann KF,Walsh TS. The incidence of sub-optimal sedation in the ICU: a systematic reviewCrit CareYear: 2009136R20410.1186/cc821220015357
12.. 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 perspectiveAnaesth Inten Care.Year: 200836570578
13.. Martin J,Franck M,Sigel S,Weiss M,Spies C. Changes in sedation management in German intensive care units between 2002 and 2006: a national follow up surveyCrit CareYear: 200711R12410.1186/cc618918062820
14.. Reschreiter H,Maiden M,Kapila A. Sedation practice in the intensive care unit: a UK national surveyCrit CareYear: 200812R15210.1186/cc714119046459
15.. Shehabi Y,Bellomo R,Reade M,et al. for Sedation Practice in Intensive Care Evaluation (SPICE) Study Group and the ANZICS CTG: early intensive care sedation predicts long-term mortality in mechanically ventilated critically ill patientsAm J Respir Crit Care MedYear: 201222859526
16.. Sessler CN,Gosnell MS,Grap MJ,Brophy GM,O’Neal PV,Keane KA,Tesoro EP,Elswick RK. The Richmond Agitation-Sedation Scale: validity and reliability in adult intensive care unit patientsAm J Respir Crit Care MedYear: 20021661338134410.1164/rccm.210713812421743
17.. Ely EW,Inouye SK,Bernard GR,Gordon S,Francis J,May L,Truman B,Speroff T,Gautam S,Margolin R,Hart RP,Dittus R. Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU)JAMAYear: 20012862703271010.1001/jama.286.21.270311730446
18.. Ely EW, Bun BT (2012) Delirium and CAM-ICU resources. Accessed Feb 2012
19.. Knaus WA,Draper EA,Wagner DP,Zimmerman JE. APACHE II: a severity of disease classification systemCrit Care MedYear: 19851381882910.1097/00003246-198510000-000093928249
20.. Esteban A,Anzueto A,Frutos F,Alía I,Brochard L,Stewart TE,Benito S,Epstein SK,Apezteguía C,Nightingale P,Arroliga AC,Tobin MJ. Mechanical Ventilation International Study Group: characteristics and outcomes in adult patients receiving mechanical ventilation: a 28-day international studyJAMAYear: 200228734535510.1001/jama.287.3.34511790214
21.. Mehta S,Burry L,Cook D,for the SLEAP Investigators and Canadian Critical Care Trials Group,et al. SLEAP: daily sedation interruption in mechanically ventilated critically ill patients cared for with a sedation protocolA randomized controlled trialYear: 2012
22.. De Wit M,Gennings C,Jenvey WI,Epstein SK. Randomized trial comparing daily interruption of sedation and nursing-implemented sedation algorithm in medical intensive care unit patientsCrit CareYear: 200812R7010.1186/cc690818492267
23.. Jakob SM,Ruokonen E,Grounds RM,Sarapohja T,Garratt C,Pocock SJ,Bratty JR,Takala J. Dexmedetomidine for long-term sedation investigators dexmedetomidine versus midazolam or propofol for sedation during prolonged mechanical ventilation: two randomized controlled trialsJAMAYear: 20123071151116010.1001/jama.2012.30422436955
24.. Riker RR,Shehabi Y,Bokesch PM,Ceraso D,Wisemandle W,Koura F,Whitten P,Margolis BD,Byrne DW,Ely EW,Rocha MG,SEDCOM (Safety and Efficacy of Dexmedetomidine Compared With Midazolam) Study GroupDexmedetomidine vs. midazolam for sedation of critically ill patients: a randomized trialJAMAYear: 200930148949910.1001/jama.2009.5619188334
25.. Reade MC,Eastwood GM,Peck L,et al. Routine use of the confusion assessment method for the intensive care unit (CAM-ICU) by bedside nurses may underdiagnose deliriumCrit Care ResuscYear: 20111321722522129282
26.. van Eijk M,van den Boogaard M,van Marum R. Routine use of the confusion assessment method for the intensive care unit: a multicenter studyAm J Respir Crit Care MedYear: 201118434034410.1164/rccm.201101-0065OC21562131
27.. Ouimet S,Kavanagh BP,Gottfried SB,Skrobik Y. Incidence, risk factors and consequences of ICU deliriumIntensive Care MedYear: 200733667310.1007/s00134-006-0399-817102966
28.. Girard TD,Kress JP,Fuchs BD,Thomason JW,Schweickert WD,Pun BT,Taichman DB,Dunn JG,Pohlman AS,Kinniry PA,Jackson JC,Canonico AE,Light RW,Shintani AK,Thompson JL,Gordon SM,Hall JB,Dittus RS,Bernard GR,Ely EW. Efficacy and safety of a paired sedation and ventilator weaning protocol for mechanically ventilated patients in intensive care (awakening and breathing controlled trial): a randomised controlled trialLancetYear: 200837112613410.1016/S0140-6736(08)60105-118191684
29.. Augustes R,Ho KM. Meta-analysis of randomised controlled trials on daily sedation interruption for critically ill adult patientsAnaesth Intensive CareYear: 20113940140921675059
30.. Kwok MH,Joseph YN. The use of propofol for medium and long-term sedation in critically ill adult patients: a meta-analysisIntensive Care MedYear: 2008341969197910.1007/s00134-008-1186-518575838


[Figure ID: Fig1]
Fig. 1 

RASS assessments during early (first 48 h) and subsequent study days. During the first 48 h following initiation of mechanical ventilation, 2,859 RASS assessments were conducted, of which 58 % (1,658) were in the −3 to −5 range compared to 34 % (4,258/13,319) in the −2 to +1 range (P < 0.0001). There was a significant increase in the RASS score of 0 (Calm) after the first 48 h [(4,688/13,319) 35.2 % versus (323) 11.3 % (P < 0.0001) in the first 48 h]

[Figure ID: Fig2]
Fig. 2 

Kaplan-Meier curves for time to extubation. Time to extubation was significantly longer amongst patients who were deeply sedated early compared with those that were not. Median (IQR) time to extubation was 3.95 (2.7–6.9) versus 6.69 (4–11.7) days (log-rank P < 0.008)

[Figure ID: Fig3]
Fig. 3 

Kaplan-Meier curves for 180-day mortality. Those who were deeply sedated early (first 48 h) showed a significant increase in risk of death at 6 months (log-rank P = 0.001) compared with patients who were not deeply sedated

[TableWrap ID: Tab1] Table 1 

Patients’ demographics and clinical characteristics

Patients’ characteristics Primary cohort (n = 259) Divided by sedation level at 48 h in patients with ICU stay >48 h
Lightly sedated (n = 45) Deeply sedated (n = 209) P value
Age, mean (SD), years 53.1 ± 15.9 53.6 ± 13.9 53.2 ± 16.3 0.87
Male (n)  % (162) 62.5 % (25) 55.5 % (134) 64.1 % 0.28
Weight, mean (SD), kg 68.2 ± 19.8 72.7 ± 22.2 67.4 ± 19.4 0.10
APACHE II score, mean (SD) 21.3 ± 8.2 20.1 ± 7.8 21.6 ± 8.3 0.24
Operative admission diagnosis (n)  % (83) 32.0 % (18) 40.7 % (65) 31.1 % 0.25
Respiratory failure admission diagnosisa (n)  % (66) 25.5 % (13) 28.9 % (51) 24.4 % 0.53
Cardiovascular admission diagnosisa (n)  % (39) 15.4 % (11) 24.4 % (29) 13.9 % 0.08
Vasopressors infusions (n)  % (209) 80.7 % (28) 62.2 % (164) 78.4 % 0.021
Renal replacement therapy (n)  % (73) 28.2 % (7) 15.6 % (43) 20.6 % 0.44
Tracheostomy after ICU admission (n)  % (36) 14 % (7) 15.6 % (28) 13.4 % 0.71
Time to tracheostomy, median (IQR) days 9.35 (5.63–15.34) 11 (5.67–16) 9.35 (5.63–13.7) 0.86
Ventilation days, median (IQR) 4.96 (2.99–8.8) 3.95 (2.7–6.9) 6.69 (4–11.7) 0.008
28-Day coma and delirum-free days 24 (0–26) 28 (26–28) 23 (0–26) <0.0001
ICU length of stay, median (IQR) days 7.19 (4.8–11) 6.52 (4.83–6.69) 7.7 (4.95–11.57) 0.35
Hospital length of stay, median (IQR) days 16.4 (10.0–30.7) 17.6 (12.7–32.2) 16.5 (9.5–28.9) 0.08
ICU mortality (n)  % (66) 25.5 % (3) 6.7 % (63) 30.1 % 0.001
Hospital mortality (n)  % (82) 31.7 % (6) 13.4 % (76) 36.4 % 0.003
180-day mortality (n)  % (110/237) 46.4 % (10/41) 24.4 % (100/192) 52.1 % 0.001

n Number, SD standard deviation, IQR interquartile range, APACHE II Acute Physiologic Assessment and Chronic Health Evaluation

aAPACHE III diagnostic codes [19]

[TableWrap ID: Tab2] Table 2 

Sedative, analgesic and adjunct medications given

Drugs given During the first 48 h During entire study
ICU days 518 n (%) Dosea (patient−1 day−1) ICU days 2,439 n (%) Dosea (patient−1 day−1) Duration treatment daysb
Midazolam (mg) 389 (75.1 %) 28 (12–58) 966 (39.6 %) 31 (12–66) 3.37 (3.4)
Propofol (mg) 36 (6.9 %) 240 (100–680) 183 (7.5 %) 350 (100–800) 0.71 (1.4)
Morphine (mg) 327 (63.1 %) 24.5 (12.54) 773 (31.7 %) 25 (10–51) 2.99 (3.23)
Fentanyl 168 (32.4 %) 290 (95–620) 771 (31.6 %) 450 (200–780) 2.97 (4.19)
Dexmedetomidine 65 (12.5 %) 1.93 (0.9–4.3) 334 (13.7 %) 3.96 (1.98–7.2) 1.29 (2.67)
Ketamine (mg) 16 (3.1 %) 390 (157–750) 46 (1.9 %) 1,374 (315–3,840)c 0.18 (0.84)
Haloperidol (mg) 6 (1.2 %) 7.5 (2.2–13.5) 51 (2.1 %) 15 (5–46)c 0.19 (0.79)
Diazepam (mg) 2 (0.4 %) 4.2 (2.2–6) 20 (0.8 %) 21 (10–15)c 0.08 (0.69)

aCumulative median (IQR) dose mg (when stated), µg (dexmedetomidine and fentanyl) patient−1 day−1

bMean (SD)

cCumulative dose patient−1

[TableWrap ID: Tab3] Table 3 

Multivariable proportional hazard Cox regression of time to extubation, delirium and 180-day mortality versus early sedation depth (RASS −3 to −5) as primary exposure variable

Time to extubation Delirium after 48 h 180-Day mortality
HR 95 % CI P HR 95 % CI P HR 95 % CI P
RASS −3 to −5a 0.93 0.89–0.96 0.0001 0.98 0.94–1.03 0.46 1.10 1.04–1.15 0.0002
APACHE IIb 0.96 0.94–0.98 0.001 0.98 0.96–1.01 0.22 1.02 0.10–1.05 0.08
Age 1.00 0.99–1.01 0.77 1.01 1.00–1.03 0.04 1.02 1.00–1.03 0.01
Male 0.84 0.61–1.16 0.29 1.37 0.92–2.04 0.12 0.75 0.50–1.14 0.17
Operative 1.22 0.74–2.04 0.43 1.10 0.60–1.03 0.75 0.56 0.26–1.21 0.14
Elective 0.99 0.54–1.79 0.96 1.31 0.65–2.64 0.44 0.83 0.32–2.13 0.70
Cardiacc 0.84 0.47–1.50 0.56 1.17 0.59–2.32 0.66 2.22 0.92–5.36 0.07
Respiratoryc 0.82 0.51–1.31 0.41 0.94 0.51–1.73 0.84 1.14 0.57–2.29 0.71
Sepsisc 0.97 0.59–1.60 0.91 1.22 0.65–2.31 0.54 1.22 0.59–2.50 0.60
Gastrointesc 0.61 0.33–1.12 0.11 0.94 0.46–1.90 0.86 2.42 1.02–5.75 0.04
Vasopressors 1.09 0.73–1.64 0.67 1.15 0.70–1.94 0.54 1.42 0.81–2.47 0.22
Dialysisd 0.53 0.32–0.86 0.01 1.03 0.60–1.76 0.92 0.94 0.94–2.45 0.09

aFor every additional RASS in deep sedation, chance of achieving the desired outcome (shorter time to extubation) was reduced by 7 % (4–11 %)

bAcute Physiologic Assessment and Chronic Health Evaluation II

cAPACHE III admission diagnostic codes

dVasopressors and any form of dialysis within the first 48 h

Article Categories:
  • Original

Keywords: Keywords Sedation depth, Mechanical ventilation, Delirium, Critically ill, Mortality.

Previous Document:  Macrolide-based regimens in absence of bacterial co-infection in critically ill H1N1 patients with p...
Next Document:  Number of supervised studies required to reach competence in advanced critical care transesophageal ...