- Open Access
Study protocol: The Improving Care of Acute Lung Injury Patients (ICAP) study
Critical Care volume 10, Article number: R9 (2005)
The short-term mortality benefit of lower tidal volume ventilation (LTVV) for patients with acute lung injury/acute respiratory distress syndrome (ALI/ARDS) has been demonstrated in a large, multi-center randomized trial. However, the impact of LTVV and other critical care therapies on the longer-term outcomes of ALI/ARDS survivors remains uncertain. The Improving Care of ALI Patients (ICAP) study is a multi-site, prospective cohort study that aims to evaluate the longer-term outcomes of ALI/ARDS survivors with a particular focus on the effect of LTVV and other critical care therapies.
Consecutive mechanically ventilated ALI/ARDS patients from 11 intensive care units (ICUs) at four hospitals in the city of Baltimore, MD, USA, will be enrolled in a prospective cohort study. Exposures (patient-based, clinical management, and ICU organizational) will be comprehensively collected both at baseline and throughout patients' ICU stay. Outcomes, including mortality, organ impairment, functional status, and quality of life, will be assessed with the use of standardized surveys and testing at 3, 6, 12, and 24 months after ALI/ARDS diagnosis. A multi-faceted retention strategy will be used to minimize participant loss to follow-up.
On the basis of the historical incidence of ALI/ARDS at the study sites, we expect to enroll 520 patients over two years. This projected sample size is more than double that of any published study of long-term outcomes in ALI/ARDS survivors, providing 86% power to detect a relative mortality hazard of 0.70 in patients receiving higher versus lower exposure to LTVV. The projected sample size also provides sufficient power to evaluate the association between a variety of other exposure and outcome variables, including quality of life.
The ICAP study is a novel, prospective cohort study that will build on previous critical care research to improve our understanding of the longer-term impact of ALI/ARDS, LTVV and other aspects of critical care management. Given the paucity of information about the impact of interventions on long-term outcomes for survivors of critical illness, this study can provide important information to inform clinical practice.
Acute lung injury and acute respiratory distress syndrome (ALI/ARDS) are common causes of morbidity and mortality in critically ill patients. Improvements in critical care practice, including changes in mechanical ventilation strategies, have decreased short-term mortality rates for ALI/ARDS patients . As a consequence, the longer-term outcomes of ALI/ARDS survivors have become a research priority [2, 3]. For example, although lower tidal volume ventilation (LTVV) has been shown to reduce short-term mortality , its impact on patients' longer-term functional status and quality of life remains uncertain. An improved understanding of long-term patient outcomes may lead to important changes in critical care practice [5, 6].
Most studies of long-term outcomes in ALI/ARDS survivors have recruited relatively small numbers of patients and have not investigated the effects of specific critical care interventions. For example, of at least 13 independent studies that investigated quality of life (QOL) outcomes in ARDS patients  (DW Dowdy, MP Eid, CR Dennison, PA Mendez-Tellez, MS Herridge, E Guallar, PJ Pronovost and DM Needham, unpublished work), none had a sample size of more than 83 survivors , and only two studies (with sample sizes of 66  and 20 ) evaluated the impact of a specific critical care intervention on QOL. Furthermore, none of the five randomized trials of LTVV included an assessment of long-term QOL or other outcomes in their original study design . Thus, the magnitude of improvement in long-term, patient-centered outcomes resulting from the use of many specific intensive care unit (ICU) therapies (e.g. LTVV) remains uncertain. Furthermore, the mechanisms through which these therapies may affect patient outcomes require further investigation .
To help to address these issues, the Improving Care of ALI Patients (ICAP) study was created. The ICAP study is a multi-site, prospective cohort study designed to evaluate the associations of ALI/ARDS, LTVV, and other aspects of critical care with 2-year outcomes.
Using a prospective cohort study design, the ICAP study will enroll consecutive patients with ALI/ARDS from 11 intensive care units (four medical, five surgical, and two trauma) at four teaching hospitals in the city of Baltimore, MD, USA. These participants will be evaluated in hospital and their outcomes will be assessed during follow-up at 3, 6, 12, and 24 months after ALI/ARDS diagnosis. Figure 1 provides a timeline of participants' clinical course and the study-related assessments.
To be eligible for enrollment in the ICAP study, participants must be mechanically ventilated and meet criteria for the diagnosis of ALI/ARDS, as defined by the American-European Consensus Conference .
Patients are excluded if they meet any of the following eight criteria:
1. More than 96 hours between ALI/ARDS diagnosis and enrollment.
2. More than five days of mechanical ventilation during the present hospitalization before enrollment.
3. Pre-existing ALI/ARDS when transferred to a study ICU.
4. Pre-existing illness with a life expectancy of less than six months.
5. Any limitation of care at the time of enrollment (for example no cardiopulmonary resuscitation).
6. Previous lung resection.
7. Inability to speak or understand English.
8. No fixed address.
These criteria exclude patients with substantial exposure to critical care before enrollment (exclusion criteria 1, 2, and 3), high short-term mortality risk unrelated to ALI/ARDS (exclusion criteria 4 and 5), or significant barriers to prescribed outcome evaluations (exclusion criteria 6, 7, and 8).
Exposures assessed in the ICAP study fall into three major categories: patient-based, clinical management, and ICU organizational exposures (Table 1) . Patient-based exposures assessed at the time of study enrollment include demographics, comorbidities, admission diagnosis, severity of illness, and medications taken before hospitalization. Pilot testing indicates that medical chart abstraction for one-time measurement of these exposures takes about 30 minutes.
Patient-based and clinical management exposures measured while the participant is in the ICU vary over time, so the exposure measurements must account for this time-dependent course of critical care after ALI/ARDS diagnosis. Of particular importance, given the study objectives, are the participants' mechanical ventilator settings (for example. tidal volume and pressures) and associated arterial blood gas values. These important time-varying exposures are measured with the greatest frequency (twice daily). Other patient-based and clinical management exposures are measured once daily. On the basis of pilot testing, the time required for daily collection of these exposures is about 45 minutes per patient-day (Table 1).
ICU organizational exposures measured in the ICAP study include staff:patient ratios, ICU occupancy, and use of protocols for specific ICU therapies (for example. LTVV and intensive insulin therapy ). Although infrequently considered in previous studies , recent research has demonstrated that ICU organizational exposures have an important impact on short-term patient outcomes [17–19]. Thus, prospective measurement of these variables and their association with long-term patient outcomes has the potential to inform clinical practice. Because some of these ICU organizational exposures vary less frequently than other exposures, they are measured twice weekly.
When available, existing validated measurement instruments are used for exposure assessment. The Acute Physiology and Chronic Health Evaluation (APACHE) II system, Sequential Organ Failure Assessment (SOFA) score, and Charlson comorbidity index are validated predictors of short-term mortality and other outcomes in ICU patients [20–22]. Similarly, validity and reliability have been demonstrated for the Richmond Agitation–Sedation Scale (RASS) [23, 24] and the Confusion Assessment Method for the ICU (CAM-ICU)  as measures of sedation and delirium, respectively, among ICU patients. Delirium, measured with the CAM-ICU, is an important independent predictor of mortality in mechanically ventilated patients .
Outcome assessment: baseline measurements
Poor long-term outcomes in ALI/ARDS survivors may reflect either pre-existing morbidity or persistent effects of critical illness and/or ICU treatments. For example, three studies that retrospectively measured baseline QOL in critically ill patients found significant global decrements in QOL when compared with population norms [27–29]. Thus, long-term QOL decrements in ICU survivors (in comparison with population norms) probably reflect both poor baseline status and potential adverse effects of critical illness. To understand the relative contributions of these factors, patients' baseline status before hospitalization must be assessed and compared with their status at follow-up.
Because ALI/ARDS patients are admitted to the ICU under emergent conditions, their ideal baseline (for example, pre-admission) status is difficult, if not impossible, to obtain. Consequently, most studies of ICU survivors do not control for baseline status when measuring outcomes during follow-up . To help in addressing this methodological issue, the ICAP study will use standardized surveys for the retrospective estimation of baseline QOL, physical functional status, and hearing handicap in patients surviving their ICU stay (Table 2). Pilot tests indicate that administration of these retrospective surveys takes about 60 minutes per participant (Table 2), more than double the time required for survey administration during follow-up. This additional time results from fatigue, inattention, and interruptions related to medical care while administering these surveys on the hospital ward.
Participants' retrospective report of their baseline status may be influenced by their current status at the time of this assessment, leading to recall bias in the baseline measurement. Thus, the ICAP study will explore patient proxies as an alternative method of estimating baseline status. In a subgroup of consecutive consenting participants, close contacts will be identified and asked to complete the same baseline surveys that were completed by patients. Proxy responses will then be compared with those of the participants to assess the overall level of agreement and any systematic differences between the two response groups. Understanding differences between participant and proxy-based assessments will enable investigators to adjust for any systematic differences in proxy responses obtained during follow-up when participants are not available for direct assessment (for example, owing to hospitalization, impaired physical or mental condition, or incarceration).
Outcome assessment: follow-up
Outcomes assessed in the ICAP study include mortality and medical outcomes, organ impairment, functional status, and quality of life (Table 3). Outcomes are assessed at 3, 6, 12, and 24 months after ALI/ARDS diagnosis in a research clinic staffed by trained research assistants, nutritionists, and physical therapists. When patients are unable to attend their clinic appointment, visits to their home or rehabilitation facility or telephone interviews will be conducted. Each follow-up visit requires about four hours (Table 3).
Outcomes are assessed with standardized instruments, most of which are used widely in critical care research . Some instruments, such as the Medical Outcomes Study Short Form 36-Item Health Survey (SF-36) , have been specifically validated in critically ill populations, whereas others (for example, the EuroQOL (EQ-5D) , Activities of Daily Living (ADL) , and Instrumental Activities of Daily Living (IADL)  surveys) have been validated only in more general patient populations. Because certain issues being explored within the ICAP study have not been widely investigated in critically ill patients, these assessments will require instruments validated predominantly in non-ICU patient populations. For example, the ICAP study is the first large study to measure long-term swallowing impairment and hearing handicap among ICU survivors. Corresponding instruments (for example, Sidney Swallowing Questionnaire and Hearing Handicap Inventory for Adults – Screener) were selected on the basis of validation studies completed in other patient populations [35, 36].
Quality assurance over data collection
The ICAP study collects a large amount of data regarding patient exposures and outcomes. To reduce measurement error, a comprehensive data quality assurance program will be employed. As outlined in Table 4, this program includes several components: first, a comprehensive training, certification and ongoing quality assurance review of study coordinators; second, duplicate data entry with extensive validity checks conducted by the data entry staff and database software; and third, regular review of the entire database, by means of customized descriptive statistics algorithms, to assess potential outlier, illogical and missing data values. This multi-faceted approach will help to ensure the accuracy of data in the ICAP study.
Informed consent in critically ill patients
While in the ICU, most eligible patients cannot provide informed consent to participate in the ICAP study because of sedation, delirium, or physical or emotional distress. Furthermore, pilot testing of the ICAP study protocol revealed that patient proxies are frequently not available on a timely basis. Delays in obtaining consent impede the accurate assessment of patient exposures that cannot be obtained retrospectively (for example, sedation and delirium status). Thus, to facilitate prompt participant enrollment without biasing the study sample against patients without readily available proxies, a waiver of consent was requested from the Institutional Review Board of each participating site. Because the study protocol poses minimal risk to patients, this waiver request was approved, thus allowing observational data to be collected, without consent, on eligible patients during their hospitalization. Patients who survive their ICU stay are then asked for consent to participate in the long-term follow-up portion of the study.
Participant retention strategies
An important challenge facing longitudinal research in ICU survivors is the threat of selection bias from loss to follow-up. Participants who are lost to follow-up may not be representative of the original study sample as a result of increased morbidity (hindering appointment attendance) or improved outcomes (increasing mobility and capacity to move to distant locations) . Thus, participant retention strategies will have a vital role in the success of the ICAP study (Table 5). Retention efforts will begin immediately once eligible patients have consented and will continue for the duration of the study, using frequent telephone, written, and in-person communication with each participant. For purposes of scheduling follow-up appointments, participants will be actively tracked with the following sequence of events: three telephone calls to the primary contact number; telephone calls to alternative numbers; signature-required/registered letters; telephone calls and letters to alternate contacts; local and online telephone directory searches; unscheduled home visits; and confirmation of vital status from government databases. The proportion of patients contacted and the number of visits scheduled and completed will be reviewed on a weekly basis to track the implementation and performance of the retention strategies.
The primary statistical analysis for the ICAP study will assess the casual effect of LTVV on patient mortality. Exposure to LTVV will be evaluated with a compliance algorithm from a related randomized trial . This analysis is complex because within the observational study design, the primary exposure (for example, LTVV) is 'time-dependent' and 'dynamic', meaning that the exposure varies over time and depends on a patient's 'at risk status' (for example, being alive, being in hospital, and receiving mechanical ventilation), which also changes during the study period. Appropriate statistical methods for the causal analysis of such time-varying, dynamic treatment regimes have been developed recently . These methods, known as structural models, demonstrate that the analysis of such data with standard statistical techniques (for example, a Cox proportional hazards model with LTVV and risk factors modeled as time-varying covariates) can lead to biased results. More specifically, a bias can result when two conditions occur: first, there is a measured time-dependent risk factor for survival that also predicts subsequent exposure to LTVV, and second, past LTVV exposure affects the subsequent level of the risk factor. Within the ICAP study, these conditions may be met for important time-varying risk factors, such as organ failure and lung compliance, which may be associated with both death and compliance with LTVV while also being associated with future levels of these exposures. To avoid such bias in the statistical analysis, we plan to use structural models to estimate the causal effect of LTVV on mortality.
Additional analyses of LTVV will include assessing its casual effect on functional status and quality of life. Because these outcomes can be assessed only in survivors, the analysis of functional status and quality of life, at a specified time point after enrollment, is complicated by the high mortality rates of critically ill patients . An analysis that restricts the study population to observed survivors can suggest a treatment effect simply because the type of patients who survive differ between treatment regimes. Recently developed statistical methods that address this survivor bias [38–40] will be extended to accommodate dynamic, time-varying treatments.
Secondary analyses in the ICAP study will examine the impact of ICU exposures, other than LTVV, on long-term outcomes including mortality, organ impairment, functional status, and quality of life. Of particular interest are exposures previously shown to affect short-term outcomes, including delirium , sedative use , ICU organizational characteristics [18, 42], and tight glucose control with intravenous insulin therapy . In addition, there are many other unanswered clinical questions that the ICAP study may inform, such as the association between the dose and duration of use of steroids, and functional status. The relationships between these exposures and long-term outcomes in ALI/ARDS survivors currently remain unclear, as do these exposures' relevant mechanisms of action. To inform this latter question, analyses will explore the effect of characterizing the exposure 'dose' as cumulative (for example, total exposure during ICU stay), maximum/minimum (highest or lowest value attained during ICU stay), or proportional (percentage of ICU stay greater than a threshold). Ultimately, these secondary analyses seek to extend the results of previous studies and generate new hypotheses about how existing clinical practices affect long-term patient outcomes.
On the basis of the actual incidence of ALI/ARDS observed at the participating hospitals during a previous randomized trial , the ICAP study seeks to enroll 520 patients during its 2-year enrollment period. With this sample size, the ICAP study would be the largest existing prospective cohort study of long-term outcomes in ALI/ARDS survivors  – significantly larger than the largest previous study, which enrolled 107 survivors .
Because there are no available methods for computing power or sample size for the statistical methods described above, we estimated statistical power for the ICAP study with conventional methods. On the basis of preliminary data regarding the short-term mortality rates of ALI/ARDS patients in the ICAP study and long-term mortality rates observed in previous studies [8, 45], we expect that 50% of patients receiving more than the median level of LTVV will die within two years of ALI/ARDS diagnosis. Under these assumptions, the ICAP study has 86% power to detect a relative hazard of 0.7 for 2-year mortality, comparing equal-sized groups of patients receiving a higher versus a lower proportion of LTVV (two-tailed α = 0.05). However, this calculation does not consider that the treatment groups may be unbalanced with regard to confounding factors for patient mortality. To address this deficiency, we conducted a simulation to assess whether 520 patients, using an analysis that accounts for confounding, would be adequate to detect a 30% relative reduction in mortality at two years. The majority of the simulation scenarios yielded a power of more than 70%.
The benefit of the ICAP study's proposed sample size, in comparison with previous studies of ALI/ARDS survivors, is most apparent when analyzing other patient outcomes. For example, one important secondary outcome is the physical functioning domain of the SF-36 quality of life survey. Physical functioning has the greatest precision (for example, it reflects the greatest number of response categories) of the eight SF-36 domains and clinically represents an important domain for understanding the impact of ALI/ARDS . Recent expert panels have suggested that the minimum clinically important difference in the SF-36 physical functioning domain for patients with chronic pulmonary conditions is 10 points [46, 47]. The power of the ICAP study to detect a 10-point difference at 2-year follow-up, comparing patients receiving a higher proportion of LTVV with patients receiving a lower proportion, is much greater than in previous studies of ALI/ARDS survivors that had sample sizes of less than 84 survivors [8, 45, 48–50] (Figure 2). Thus, the ICAP study will have sufficient power to detect associations of clinical relevance that could not be adequately investigated in earlier studies with smaller sample sizes.
The ICAP study is a multi-site, prospective cohort study that seeks to evaluate the impact of ALI/ARDS, LTVV and other aspects of ICU care on a variety of important long-term outcomes. Whereas previous studies have measured long-term outcomes in ALI/ARDS survivors, the ICAP study is distinguished by its larger sample size and its comprehensive measurement of many ICU exposures and outcomes that have not been adequately investigated in this patient population. Building on these strengths allows the ICAP study to evaluate the impact, and associated mechanisms of action, of ICU therapies on longer-term patient outcomes, and to generate hypotheses for future research. Ultimately, the ICAP study seeks to inform clinicians about the long-term effects of ALI/ARDS and ICU therapies, so as to facilitate change in clinical practice and improve outcomes for ALI/ARDS patients.
The ICAP study has potential limitations. First, because participants are not randomly assigned to the ICU therapies under investigation, the ICAP study is subject to 'confounding by indication',  in that patients receiving certain therapies may be systematically different from those not receiving the therapies. If these differences are associated with the outcomes of interest, the study results may be biased. The ICAP study's comprehensive collection of exposure variables helps to mitigate this potential bias by enabling study investigators to adjust for any measured factor found to predict the use of each ICU therapy under investigation. However, some important factors may be unknown or unmeasured, resulting in residual confounding and bias. Second, despite frequent data collection, the ICAP study cannot fully capture the time-dependent variation of dynamic exposures of ICU clinical management. For example, ventilation parameters may change multiple times per day, but could be measured only twice daily in the ICAP study because of the associated data collection burden. Third, although drawn from 11 different ICUs, all four study hospitals are teaching and referral centers in a single city; thus, the ICAP study results may not generalize to ALI/ARDS survivors in other settings.
These limitations suggest several directions for future studies. First, the design of future randomized trials of novel therapies for ALI/ARDS should include the assessment of longer-term outcomes, including quality of life [11, 12]. Second, additional methodological research should investigate the optimal data collection instruments, measurement frequencies, and analytic approaches for studying complex, time-varying exposures of ICU clinical management and patient outcomes. Such research would help to establish common measurement strategies that could be used in future critical care research. Finally, additional observational studies should be conducted to assess the generalizability of findings from the ICAP study.
The ICAP study is a prospective cohort study that seeks to provide new knowledge about the association of ALI/ARDS, LTVV, and other aspects of ICU care with longer-term patient outcomes. Strengths of the study include comprehensive measurement of relevant exposures and outcomes, extensive cohort retention strategies, novel analytic techniques, and a relatively large projected sample size. Results from the ICAP study should help to improve the care and long-term outcomes of ALI/ARDS patients.
The impact of lower tidal volume ventilation (LTVV) and other critical care therapies on the long-term outcomes for survivors of acute lung injury/acute respiratory distress syndrome (ALI/ARDS) remains uncertain.
The Improving Care of ALI Patients (ICAP) study is a novel, prospective cohort study that will build on previous critical care research to improve our understanding of the longer-term impact of ALI/ARDS, LTVV and other aspects of critical care management.
Consecutive mechanically ventilated ALI/ARDS patients from 11 intensive care units (ICUs) at four hospitals in the city of Baltimore, MD, USA, will be enrolled in the study.
Exposures (patient-based, clinical management, and ICU organizational) will be comprehensively collected, both at baseline and throughout patients' ICU stay.
Outcomes, including mortality, organ impairment, functional status and quality of life, will be assessed by using standardized surveys and testing at 3, 6, 12, and 24 months after ALI/ARDS diagnosis.
= acute lung injury
= acute respiratory distress syndrome
= Improving Care of ALI Patients
= intensive care unit
= lower tidal volume ventilation
= quality of life
= Richmond Agitation–Sedation Scale
= Medical Outcomes Study Short Form 36-Item Health Survey.
Ware LB, Matthay MA: The acute respiratory distress syndrome. N Engl J Med 2000, 342: 1334-1349. 10.1056/NEJM200005043421806
Rubenfeld GD, Angus DC, Pinsky MR, Curtis JR, Connors AF Jr, Bernard GR: Outcomes research in critical care: results of the American Thoracic Society Critical Care Assembly Workshop on Outcomes Research. The Members of the Outcomes Research Workshop. Am J Respir Crit Care Med 1999, 160: 358-367.
Angus DC, Carlet J: Surviving intensive care: a report from the 2002 Brussels Roundtable. Intensive Care Med 2003, 29: 368-377.
Brower RG, Matthay MA, Morris A, Schoenfeld D, Thompson BT, Wheeler A: Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. The Acute Respiratory Distress Syndrome Network. N Engl J Med 2000, 342: 1301-1308. 10.1056/NEJM200005043421801
Jackson JC, Gordon SM, Ely EW, Burger C, Hopkins RO: Research issues in the evaluation of cognitive impairment in intensive care unit survivors. Intensive Care Med 2004, 30: 2009-2016. 10.1007/s00134-004-2422-2
Needham DM, Pronovost PJ: Affordable health care. Crit Care Med 2004, 32: 2564.
Heyland DK, Groll D, Caeser M: Survivors of acute respiratory distress syndrome: relationship between pulmonary dysfunction and long-term health-related quality of life. Crit Care Med 2005, 33: 1549-1556. 10.1097/01.CCM.0000168609.98847.50
Herridge MS, Cheung AM, Tansey CM, Matte-Martyn A, Diaz-Granados N, Al-Saidi F, Cooper AB, Guest CB, Mazer CD, Mehta S, et al.: One-year outcomes in survivors of the acute respiratory distress syndrome. N Engl J Med 2003, 348: 683-693. 10.1056/NEJMoa022450
Orme J Jr, Romney JS, Hopkins RO, Pope D, Chan KJ, Thomsen G, Crapo RO, Weaver LK: Pulmonary function and health-related quality of life in survivors of acute respiratory distress syndrome. Am J Respir Crit Care Med 2003, 167: 690-694. 10.1164/rccm.200206-542OC
Cooper AB, Ferguson ND, Hanly PJ, Meade MO, Kachura JR, Granton JT, Slutsky AS, Stewart TE: Long-term follow-up of survivors of acute lung injury: lack of effect of a ventilation strategy to prevent barotrauma. Crit Care Med 1999, 27: 2616-2621. 10.1097/00003246-199912000-00002
Petrucci N, Iacovelli W: Ventilation with lower tidal volumes versus traditional tidal volumes in adults for acute lung injury and acute respiratory distress syndrome. Cochrane Database Syst Rev 2004, CD003844.
Schein RM, Quartin AA: Acute respiratory distress syndrome and long-term outcomes: what should we follow? Crit Care Med 2005, 33: 1656-1658. 10.1097/01.CCM.0000170176.22020.76
Bernard GR, Artigas A, Brigham KL, Carlet J, Falke K, Hudson L, Lamy M, Legall JR, Morris A, Spragg R: The American-European Consensus Conference on ARDS. Definitions, mechanisms, relevant outcomes, and clinical trial coordination. Am J Respir Crit Care Med 1994, 149: 818-824.
Needham DM, Dowdy DW, Mendez-Tellez PA, Herridge MS, Pronovost PJ: Studying outcomes of intensive care unit survivors: measuring exposures and outcomes. Intensive Care Med 2005, 31: 1153-1160. 10.1007/s00134-005-2656-7
van den Berghe G, Wouters P, Weekers F, Verwaest C, Bruyninckx F, Schetz M, Vlasselaers D, Ferdinande P, Lauwers P, Bouillon R: Intensive insulin therapy in the critically ill patients. N Engl J Med 2001, 345: 1359-1367. 10.1056/NEJMoa011300
Dowdy DW, Needham DM, Mendez-Tellez PA, Herridge MS, Pronovost PJ: Studying outcomes of intensive care unit survivors: the role of the cohort study. Intensive Care Med 2005, 31: 914-921. 10.1007/s00134-005-2657-6
Amaravadi RK, Dimick JB, Pronovost PJ, Lipsett PA: ICU nurse-to-patient ratio is associated with complications and resource use after esophagectomy. Intensive Care Med 2000, 26: 1857-1862. 10.1007/s001340000720
Pronovost PJ, Jenckes MW, Dorman T, Garrett E, Breslow MJ, Rosenfeld BA, Lipsett PA, Bass E: Organizational characteristics of intensive care units related to outcomes of abdominal aortic surgery. JAMA 1999, 281: 1310-1317. 10.1001/jama.281.14.1310
Iapichino G, Radrizzani D, Pezzi A, Assi E, Di Mauro P, Mistraletti G, Porta F: Evaluating daily nursing use and needs in the intensive care unit: a method to assess the rate and appropriateness of ICU resource use. Health Policy 2005, 73: 228-234. 10.1016/j.healthpol.2004.11.015
Knaus WA, Draper EA, Wagner DP, Zimmerman JE: APACHE II: a severity of disease classification system. Crit Care Med 1985, 13: 818-829.
Charlson ME, Pompei P, Ales KL, MacKenzie CR: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987, 40: 373-383. 10.1016/0021-9681(87)90171-8
Vincent JL, Moreno R, Takala J, Willatts S, De Mendonca A, Bruining H, Reinhart CK, Suter PM, Thijs LG: The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med 1996, 22: 707-710.
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 patients. Am J Respir Crit Care Med 2002, 166: 1338-1344. 10.1164/rccm.2107138
Ely EW, Truman B, Shintani A, Thomason JW, Wheeler AP, Gordon S, Francis J, Speroff T, Gautam S, Margolin R, et al.: Monitoring sedation status over time in ICU patients: reliability and validity of the Richmond Agitation–Sedation Scale (RASS). JAMA 2003, 289: 2983-2991. 10.1001/jama.289.22.2983
Ely EW, Inouye SK, Bernard GR, Gordon S, Francis J, May L, Truman B, Speroff T, Gautam S, Margolin R, et al.: Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU). JAMA 2001, 286: 2703-2710. 10.1001/jama.286.21.2703
Ely EW, Shintani A, Truman B, Speroff T, Gordon SM, Harrell FE Jr, Inouye SK, Bernard GR, Dittus RS: Delirium as a predictor of mortality in mechanically ventilated patients in the intensive care unit. JAMA 2004, 291: 1753-1762. 10.1001/jama.291.14.1753
Graf J, Koch M, Dujardin R, Kersten A, Janssens U: Health-related quality of life before, 1 month after, and 9 months after intensive care in medical cardiovascular and pulmonary patients. Crit Care Med 2003, 31: 2163-2169. 10.1097/01.CCM.0000079607.87009.3A
Ridley SA, Chrispin PS, Scotton H, Rogers J, Lloyd D: Changes in quality of life after intensive care: comparison with normal data. Anaesthesia 1997, 52: 195-202. 10.1111/j.1365-2044.1997.073-az0068.x
Wehler M, Geise A, Hadzionerovic D, Aljukic E, Reulbach U, Hahn EG, Strauss R: Health-related quality of life of patients with multiple organ dysfunction: individual changes and comparison with normative population. Crit Care Med 2003, 31: 1094-1101. 10.1097/01.CCM.0000059642.97686.8B
Hayes JA, Black NA, Jenkinson C, Young JD, Rowan KM, Daly K, Ridley S: Outcome measures for adult critical care: a systematic review. Health Technol Assess 2000, 4: 1-111.
Chrispin PS, Scotton H, Rogers J, Lloyd D, Ridley SA: Short Form 36 in the intensive care unit: assessment of acceptability, reliability and validity of the questionnaire. Anaesthesia 1997, 52: 15-23. 10.1111/j.1365-2044.1997.015-az014.x
The EuroQol Group: EuroQol – a new facility for the measurement of health-related quality of life. Health Policy 1990, 16: 199-208. 10.1016/0168-8510(90)90421-9
Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW: Studies of illness in the aged. The index of ADL: a standardized measure of biological and psychosocial function. JAMA 1963, 185: 914-919.
Lawton MP, Brody EM: Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 1969, 9: 179-186.
Wallace KL, Middleton S, Cook IJ: Development and validation of a self-report symptom inventory to assess the severity of oral-pharyngeal dysphagia. Gastroenterology 2000, 118: 678-687. 10.1016/S0016-5085(00)70137-5
Newman CW, Weinstein BE, Jacobson GP, Hug GA: The Hearing Handicap Inventory for Adults: psychometric adequacy and audiometric correlates. Ear Hear 1990, 11: 430-433. 10.1097/00003446-199012000-00004
Lok J, Gill R, van der Vaart A, Robins J: Estimating the causal effect of a time-varying treatment on time-to-event using structural nested failure time models. Statistica Neerlandica 2004, 58: 271-295. 10.1111/j.1467-9574.2004.00123.x
Hayden D, Pauler DK, Schoenfeld D: An estimator for treatment comparisons among survivors in randomized trials. Biometrics 2005, 61: 305-310. 10.1111/j.0006-341X.2005.030227.x
Gilbert PB, Bosch RJ, Hudgens MG: Sensitivity analysis for the assessment of causal vaccine effects on viral load in HIV vaccine trials. Biometrics 2003, 59: 531-541. 10.1111/1541-0420.00063
Zhang JL, Rubin DB: Estimation of casual effects via principal stratification when some outcomes are truncated by death. Journal of Educational and Behavioral Statistics 2003, 28: 353-368.
Ostermann ME, Keenan SP, Seiferling RA, Sibbald WJ: Sedation in the intensive care unit: a systematic review. JAMA 2000, 283: 1451-1459. 10.1001/jama.283.11.1451
Pronovost PJ, Angus DC, Dorman T, Robinson KA, Dremsizov TT, Young TL: Physician staffing patterns and clinical outcomes in critically ill patients: a systematic review. JAMA 2002, 288: 2151-2162. 10.1001/jama.288.17.2151
Van den Berghe G, Wouters P, Weekers F, Verwaest C, Bruyninckx F, Schetz M, Vlasselaers D, Ferdinande P, Lauwers P, Bouillon R: Intensive insulin therapy in the critically ill patients. N Engl J Med 2001, 345: 1359-1367. 10.1056/NEJMoa011300
Angus DC, Musthafa AA, Clermont G, Griffin MF, Linde-Zwirble WT, Dremsizov TT, Pinsky MR: Quality-adjusted survival in the first year after the acute respiratory distress syndrome. Am J Respir Crit Care Med 2001, 163: 1389-1394.
Hopkins RO, Weaver LK, Collingridge D, Parkinson RB, Chan KJ, Orme JF Jr: Two-year cognitive, emotional, and quality-of-life outcomes in acute respiratory distress syndrome. Am J Respir Crit Care Med 2005, 171: 340-347. 10.1164/rccm.200406-763OC
Wyrwich KW, Nelson HS, Tierney WM, Babu AN, Kroenke K, Wolinsky FD: Clinically important differences in health-related quality of life for patients with asthma: an expert consensus panel report. Ann Allergy Asthma Immunol 2003, 91: 148-153.
Wyrwich KW, Fihn SD, Tierney WM, Kroenke K, Babu AN, Wolinsky FD: Clinically important changes in health-related quality of life for patients with chronic obstructive pulmonary disease: an expert consensus panel report. J Gen Intern Med 2003, 18: 196-202. 10.1046/j.1525-1497.2003.20203.x
Davidson TA, Caldwell ES, Curtis JR, Hudson LD, Steinberg KP: Reduced quality of life in survivors of acute respiratory distress syndrome compared with critically ill control patients. JAMA 1999, 281: 354-360. 10.1001/jama.281.4.354
Weinert CR, Gross CR, Kangas JR, Bury CL, Marinelli WA: Health-related quality of life after acute lung injury. Am J Respir Crit Care Med 1997, 156: 1120-1128.
Schelling G, Stoll C, Vogelmeier C, Hummel T, Behr J, Kapfhammer HP, Rothenhausler HB, Haller M, Durst K, Krauseneck T, Briegl J: Pulmonary function and health-related quality of life in a sample of long-term survivors of the acute respiratory distress syndrome. Intensive Care Med 2000, 26: 1304-1311. 10.1007/s001340051342
Ahdieh L, Gange SJ, Greenblatt R, Minkoff H, Anastos K, Young M, Nowicki M, Kovacs A, Cohen M, Munoz A: Selection by indication of potent antiretroviral therapy use in a large cohort of women infected with human immunodeficiency virus. Am J Epidemiol 2000, 152: 923-933. 10.1093/aje/152.10.923
Bernard GR, Vincent JL, Laterre PF, LaRosa SP, Dhainaut JF, Lopez-Rodriguez A, Steingrub JS, Garber GE, Helterbrand JD, Ely EW, et al.: Efficacy and safety of recombinant human activated protein C for severe sepsis. N Engl J Med 2001, 344: 699-709. 10.1056/NEJM200103083441001
Ware JE Jr, Sherbourne CD: The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 1992, 30: 473-483. 10.1097/00005650-199206000-00002
Guyatt GH, Sullivan MJ, Thompson PJ, Fallen EL, Pugsley SO, Taylor DW, Berman LB: The 6-minute walk: a new measure of exercise capacity in patients with chronic heart failure. Can Med Assoc J 1985, 132: 919-923.
Weiss DS, Marmar CR: The Impact of Events Scale – Revised. In Assessing Psychological Trauma and PTSD. Edited by: Wilson JP, Keane TM. New York: Guilford Press; 1997:399-411.
Zigmond AS, Snaith RP: The hospital anxiety and depression scale. Acta Psychiatr Scand 1983, 67: 361-370.
Brandt J, Welsh KA, Breitner JC, Folstein MF, Helms M, Christian JC: Hereditary influences on cognitive functioning in older men. A study of 4000 twin pairs. Arch Neurol 1993, 50: 599-603.
Baker JP, Detsky AS, Wesson DE, Wolman SL, Stewart S, Whitewell J, Langer B, Jeejeebhoy KN: Nutritional assessment: a comparison of clinical judgement and objective measurements. N Engl J Med 1982, 306: 969-972.
The authors acknowledge Wes Ely MD MPH and Brenda Truman Pun RN MSN for advice about the assessment of patient sedation, delirium and long-term mental and cognitive functional outcomes. This research is supported by National Institutes of Health (Acute Lung Injury SCCOR grant P050 HL 73994-01). DMN is supported by a Clinician-Scientist Award from the Canadian Institutes of Health Research, and a Detweiler Fellowship from the Royal College of Physicians and Surgeons of Canada. CRD is supported by a Mentored Patient-Oriented Research Career Development Award from the National Institutes of Health (K23 NR009193). DWD is supported by a Medical Scientist Training Program Grant from the National Institutes of Health (award 5 T32 GMO7309). The funding bodies had no role in the study design, manuscript writing or decision to submit the manuscript for publication.
The authors declare that they have no competing interests.
All authors made substantial contribution to the study design and methods. DS, DMN, DWD and PJP specifically contributed to the statistical methods and power calculations. DMN and DWD drafted the manuscript and all other authors critically revised it for important intellectual content. All authors approved the final version of the manuscript for publication.
About this article
Cite this article
Needham, D.M., Dennison, C.R., Dowdy, D.W. et al. Study protocol: The Improving Care of Acute Lung Injury Patients (ICAP) study. Crit Care 10, R9 (2005). https://doi.org/10.1186/cc3948
- Intensive Care Unit
- Intensive Care Unit Stay
- Intensive Care Unit Care
- Intensive Care Unit Survivor
- Organ Impairment