Skip to main content

Differences in one-year health outcomes and resource utilization by definition of prolonged mechanical ventilation: a prospective cohort study



The outcomes of patients ventilated for longer than average are unclear, in part because of the lack of an accepted definition of prolonged mechanical ventilation (PMV). To better understand the implications of PMV provision, we compared one-year health outcomes between two common definitions of PMV as well as between PMV patients and those ventilated for shorter periods of time.


We conducted a secondary analysis of prospectively collected data from medical and surgical intensive care units at an academic tertiary care medical center. The study included 817 critically ill patients ventilated for ≥ 48 hours, 267 (33%) of whom received PMV based on receipt of a tracheostomy and ventilation for ≥ 96 hours. A total of 114 (14%) patients met the alternate definition of PMV by being ventilated for ≥ 21 days. Survival, functional status, and costs were measured at baseline and at 2, 6, and 12 months after discharge. Of one-year survivors, 71 (17%) were lost to follow up.


PMV patients ventilated for ≥ 21 days had greater costs ($140,409 versus $143,389) and higher one-year mortality (58% versus 48%) than did PMV patients with tracheostomies who were ventilated for ≥ 96 hours. The majority of PMV deaths (58%) occurred after hospital discharge whereas 67% of PMV patients aged 65 years or older had died by one year. At one year PMV patients on average had limitations in two basic and five instrumental elements of functional status that exceeded both their pre-admission status and the one-year disability of those ventilated for < 96 hours. Costs per one-year survivor were $423,596, $266,105, and $165,075 for patients ventilated ≥ 21 days, ≥ 96 hours with a tracheostomy, and < 96 hours, respectively.


Contrasting definitions of PMV capture significantly different patient populations, with ≥ 21 days of ventilation specifying the most resource-intensive recipients of critical care. PMV patients, particularly the elderly, suffer from a significant burden of costly, chronic critical illness and are at high risk for death throughout the first year after intensive care.


Intensive care is expensive, particularly for those who require mechanical ventilation [1]. Because respiratory failure incidence increases markedly after age 60 years, the aging of the US population will probably strain the health care system's capacity to meet future critical care demands [2, 3]. Patients who require prolonged mechanical ventilation (PMV) are a growing group of patients who provoke particular controversy with regard to their uncertain long-term outcomes and disability as well as their disproportionate resource utilization [4].

Clinical decision making and policy making regarding PMV provision is challenging because of the medical literature's confusing array of PMV definitions, ranging from as few as 24 hours to more than 29 days [5, 6]. As a result, some have reported that PMV patients experience poor survival, low quality of life, diminished functional status and poor cognitive functioning, and require substantial postdischarge care giving, whereas other have demonstrated a survival benefit from PMV [4, 710]. A consensus group recently recommended defining PMV as a total duration of ventilation of 21 days or more [11]. Many investigators favor Medicare's definition of tracheostomy and ventilation for at least four days (diagnosis related groups [DRGs] 541 and 542; formerly DRG 483) because diagnostic codes facilitate data extraction from secondary databases and permit linkage to payment data. However, the earlier timing of tracheostomy placement may be altering the composition of the DRG 541/542 population [1214]. Defining PMV by ventilator days, therefore, may be more specific for the most resource-intensive critically ill patients, in addition to having more meaning for the practicing clinician [4].

There also are problems with the PMV literature that extend beyond definition. Namely, most data on the long-term health experiences of PMV patients are cross-sectional and do not include comparisons with those who are ventilated for shorter periods of time [15]. Additionally, no prospective studies of PMV patients, to our knowledge, have attempted to address the methodological shortcomings associated with this population's high rates of postdischarge death and dropout in longitudinal analyses of health outcomes [16].

Together, these limitations represent a notable barrier to understanding how different clinical factors affect outcomes and the rate of recovery, assessing the overall cost-effectiveness of PMV, meeting the informational needs of patients and families, and informing decisions regarding interventions in this expanding patient group [12, 17, 18]. To address these issues, we performed novel analyses of previously collected data from a prospective cohort of critically ill patients, with the following a priori hypothesizes: identification of PMV patients using DRG 541/542 is less specific for selecting a resource-intensive patient group than a definition of ≥ 21 days of mechanical ventilation; and patients with PMV have higher mortality rates, worse quality of life, and greater functional limitations at one year than patients requiring shorter periods of mechanical ventilation.

Materials and methods

Patients, study site, and procedures

These analyses are based on data that were originally collected at the University of Pittsburgh Medical Center in the QOL-MV (Quality of Life After Mechanical Ventilation in the Aged) study, a one-year prospective cohort study whose protocol has been described elsewhere [19, 20]. Briefly, all patients aged 18 years or older who received mechanical ventilation for ≥ 48 hours in the medical, general surgical, trauma, and neurologic intensive care units (ICUs) were screened for enrollment. Exclusion criteria were lack of English fluency, receipt of a solid organ transplant, prisoners, baseline chronic ventilation, and hospital transfers ventilated for more than 24 hours before arrival. Data were collected between 1997 and 2000.

Data collection

In baseline in-hospital interviews, study staff recorded patients' sociodemographics, prehospital functional status and physical function aspects of quality of life, medical comorbidities, length of ICU and hospital stay, day one Acute Physiology and Chronic Health Evaluation III score, diagnostic category (medical, surgical, trauma, or other), and admitting source (emergency room, ward transfer, postoperative, outside transfer, other; Figure 1) [2125]. In postdischarge follow-up interviews (at 2, 6, and 12 months) patient vital status, quality of life, functional status, and need for care giver assistance were recorded. Approximately one-third of interviews involved the use of proxy responses by patients' designated informal care givers because of patients' severe illnesses or degree of cognitive dysfunction. Mini follow-ups (at 2, 6, and 12 months) were abbreviated interviews conducted in those patients or care giver proxies who were unable or unwilling to complete the full follow-up protocol.

Figure 1
figure 1

Flowchart of participants in the study by DRG 541/542 status. Diagram demonstrates enrollment of 817 patients into this prospective study. DRG, diagnosis related group.

Quality of life was measured using the Short Form 36-Item questionnaire (SF-36), a questionnaire for which there is evidence of validity among ICU survivors [26]. We reported values for the SF-36's physical function and role physical domains preferentially because of their objective nature and amenability to proxy assessment. Functional status was measured as the number of dependencies in activities of daily living (ADLs) and instrumental activities of daily living (IADLs) [22, 24]. We quantified medical comorbidities using the Charlson index, a validated measure with higher scores indicating greater burden of illness [21]. Mortality was recorded from medical records, physician reports, death certificates, and the Social Security Death Index [27]. Costs were obtained by multiplying hospital charges by Medicare cost to charge ratios and adjusted to 2005 US$ using the medical component of the consumer price index [28].


Our primary outcomes were one-year survival, functional status, quality of life, and hospital costs. The main group of interest was patients with PMV, which we defined in two different ways: DRG 541/542 (mechanical ventilation for ≥ 96 hours with placement of tracheostomy for non-head and neck diagnoses either with [DRG 541] or without [DRG 542] an operative diagnosis) and ventilation for ≥ 21 days total (with ventilation discontinued for no more than 48 hours). We defined a comparative short-term mechanical ventilation group as those ventilated for ≥ 48 hours who did not meet either PMV definition.

Regarding DRGs, Medicare reimburses US acute hospital care based on adjustment of a base payment by one of these 526 condition-specific weights. This condition-adjusted DRG payment can be further adjusted for hospital-specific factors such as local wage, participation in medical education, and volume of indigent care provided. DRG 541/542 has a very high relative weight, meaning that reimbursement is higher than for many other common conditions.

Statistical analyses

We addressed the problem of missing data due to death and disability common to longitudinal critical care outcomes studies by using multiple imputation and linear mixed-effects models. In contrast to single imputation methods (for example, last observation carried forward or mean substitution), multiple imputation replaces each missing value by multiple values [29]. We chose not to use a single imputation method because it would not have accurately reflected the uncertainty that is imposed by filling in a single missing value, leading to standard errors that are too small. Instead, multiple imputation reflects missing data uncertainty and results in multiple versions of a complete dataset. Each of these multiple versions are analyzed using the same model, and the estimates and standard errors from each model are combined using Rubin's rules [30]. The combined estimates incorporate both within- and between-imputation variability, and therefore they reflect missing data uncertainty. In addition, linear mixed-effects models are particularly useful for longitudinal data because each patient can have an unequal number of observations, although individuals with more observations will contribute more precise information to parameter estimation [31]. Both of these methods assume that the reason for dropout is 'ignorable' [30].

We first compared baseline characteristics between patient groups (DRG 541/542 versus short-term ventilation) using χ2 tests for dichotomous variables and two-sample t-tests for continuous variables. For longitudinal analyses involving hospital survivors, ten multiply imputated datasets were generated under a multivariate normal model using Markov chain Monte Carlo methods in the SAS function PROC_MI. We then fitted linear mixed-effects models using the SAS function PROC_MIXED [16]. Our linear mixed models incorporated potentially confounding baseline variables found to have an association (P < 0.20) with both DRG 541/542 status and the outcome of interest, including preadmission Charlson score, preadmission IADLs, admission diagnosis, admission source, education level, age, and APS. These adjusted models allowed us to compare PMV group-level growth curves of quality of life and functional status scores over the course of one year and to determine the extent to which these trajectories were modified by patient characteristics. The mixed-effects models were fitted to the ten imputed datasets, and parameter estimates and standard errors were combined using the SAS function PROC_MIANALYZE.

We also contrasted one-year survival between groups by PMV status (DRG 541/542 versus short-term ventilation) using a piecewise-constant time-varying nonproportional hazard model to generate hazard ratios and 95% confidence intervals for PMV status, a variable that we found to violate the proportional hazards assumption when tested using scaled Schoenfeld residuals and log-log plots [32]. We included in the model preadmission IADLs and Charlson score, day one APS, admitting service, age, and education status, because these variables exhibited group-level differences of statistical (P < 0.20) or clinical significance.

Stata 9 (Statcorp, College Station, TX, USA) and SAS 9.1 (SAS Institute Inc., Cary, NC, USA) were used in analyses. The institutional review board of the University of Pittsburgh approved the original protocol, and Duke University's institutional review board approved this secondary analysis.


Baseline sociodemographics and clinical characteristics

A total of 817 patients drawn from a potential pool of 1123 patients ventilated for 48 hours were included in the study, of whom 267 (33%) met our study criteria for DRG 541/542 (Figure 1). A total of 114 (14%) of the 817 patients were ventilated for ≥ 21 days, 88 (77%) of whom received tracheostomies and therefore also met the definition of DRG 541/542. The median age was around 65 years in both groups and most patients were male, white, lived at home before admission, and were treated in a medical ICU (Table 1). Compared with patients ventilated short term, DRG 541/542 patients had less medical comorbidities, fewer dependencies in ADLs and IADLs, and better preadmission SF-36 physical function scores (all P < 0.02). Sociodemographics, work status before admission, and admission source were not significantly different between persons ventilated short term and those ventilated for prolonged periods (P > 0.05).

Table 1 Baseline sociodemographics and clinical characteristics

Health outcomes


DRG 541/542 patients had significantly lower in-hospital mortality (20% versus 43%; P < 0.0001) and one-year mortality (48% versus 59%) compared with short-term ventilation patients (Table 2). Considering DRG 541/542 patients alone, mortality increased with patient age (Figure 2), although there were statistically significant adjusted one-year mortality differences only between patients in the 65–74, 75–84, and ≥ 85 year age groups (all P < 0.01). In-hospital and one-year mortality appeared higher for those ventilated for ≥ 21 days than for DRG 541/542 patients (statistical comparison not performed because of overlap between the groups). Mortality did not differ significantly between patient age strata (P = 0.30 by log-rank test) for patients ventilated ≥ 21 days. Patients ventilated for ≥ 21 days who did not receive a tracheostomy had particularly high mortality (Figure 3).

Table 2 Clinical outcomes and resource utilization by definition of prolonged mechanical ventilation
Figure 2
figure 2

Survival by age group among DRG 541/542 patients. Kaplan-Meier plot demonstrating one-year survival stratified by age group among DRG 541/542 patients. Patients aged < 55 years have noticeably better overall survival than do older patients. Those < 55 years old also experience very low mortality rates after two months, whereas other age groups continue to die at relatively constant rates. P < 0.01 for comparisons between 65–74, 75–84, and ≥ 85 year age groups by logistic regression and adjusted for day one APS, preadmission IADLs, admission source, admitting diagnostic group, and preadmission Charlson score; P > 0.05 for comparisons between other age groups. APS, Acute Physiology Score; DRG, diagnosis related group; IADL, instrumental activity of daily living.

Figure 3
figure 3

Survival among all patients by duration of ventilation and tracheostomy status. Kaplan-Meier plot demonstrating one-year survival by PMV status. The group with the best survival is those who were ventilated for < 21 days and who received a tracheostomy. Persons ventilated for at least 21 days but who did not receive a tracheostomy experienced the worst survival. Other groups had intermediate one-year survival. MV, mechanical ventilation; PMV, prolonged mechanical ventilation.

The piecewise-constant time-varying survival model generated adjusted hazard ratios (95% confidence interval) for DRG 541/542 status compared with short-term ventilation over the course of follow up ranging from 0.05 (0.007–0.38) to 2.14 (1.15–3.99; Figure 4). Interestingly, hazard ratios for DRG 541/542 status ranged from 1.95 (1.05 to 3.63) to 2.14 (1.14 to 3.99) between 60 and 100 days after intubation, representing a higher risk for death, but they demonstrated no significant group-based differences thereafter.

Figure 4
figure 4

Hazard ratios for prolonged mechanical ventilation status over one year of follow up. Plot of hazard ratios (solid line) and 95% confidence intervals (dashed lines) for DRG 541/542 patients versus short-term mechanical ventilation patients, determined using a time-varying piecewise-constant nonproportional survival model. The shaded areas represent time periods with statistically significant hazard ratios. The hazard ratios vary over time, predicting an early (< 30 days after intubation) lower risk for death for DRG 541/542 relative to short-term ventilation patients, but a higher risk for mortality between days 60 and 100 as the slope of short-term ventilation mortality levels off (also see Figure 2). Hazard ratios are adjusted by day one APS, pre-admission Charlson score, age, and pre-admission ADLs. APS, Acute Physiology Score; ADL, activity of daily living; DRG, diagnosis related group.

Quality of life and functional status

At one year, DRG 541/542 patients had significantly lower SF-36 physical function scores and more ADL and IADL limitations than short-term ventilation patients after adjusting for clinical characteristics (Table 3). Although DRG 541/542 patients had more profound early disability, they exhibited a similar, statistically significant rate of improvement in function recovery compared with those ventilated for shorter periods of time. Nonetheless, at one year the average DRG 541/542 patient had not returned to their preadmission functional status and was still receiving weekly care giving assistance. There were insufficient patient numbers to perform similar quality of life analyses between short-term ventilation patients and those ventilated ≥ 21 days. However, there were clinically important unadjusted functional status differences by PMV group (DRG 541/542 versus ventilation ≥ 21 days), although statistical testing was not done because of patient overlap (Figure 5).

Table 3 One-year health outcomes of hospital survivors by DRG 541/542 status
Figure 5
figure 5

Quality of life and functional status over time for PMV patients. The gray bars represent PMV patients ventilated for ≥ 96 hours with a tracheostomy (DRG 541/542), and the black bars represent PMV patients ventilated for ≥ 21 days. Mean values are shown above the bars corresponding to scores on the SF-36 physical function and physical role scores as well as for limitations in both instrumental (IADLs) and basic (ADLs) activities of daily living. Because of the overlap of 88 persons in these two PMV groups, group-based statistical tests were not performed. ADL, activity of daily living; DRG, diagnosis related group; IADL, instrumental activity of daily living; PMV, prolonged mechanical ventilation; SF-36, Short Form 36-item questionnaire.

Resource utilization

PMV patients defined by DRG 541/542 had significantly longer ICU and hospital length of stay, and their hospital costs were substantially higher than those ventilated for shorter periods of time (Table 2). Costs per one-year survivor were $165,075 for short-term ventilation patients, $266,105 for DRG 541/542 patients, and $423,596 for patients ventilated for ≥ 21 days. By identifying patients who received 'potentially ineffective care', or high-intensity (> $100,000 per hospitalization) medical treatment associated with early death (survival < 100 days), we were able to estimate short-term cost-effectiveness [33]. A total of 58 (22%) DRG 541/542 patients, 55% of whom were aged 65 years or older, and 47 (41%) of patients ventilated ≥ 21 days could be classified as having received potentially ineffective care. By comparison, fewer than 10% of the short-term ventilation patients received potentially ineffective care, even considering their 36% in-hospital mortality. Potentially ineffective care was associated with age, total days of ventilation, male sex, and number of preadmission IADLs (all P < 0.05 by logistic regression) but not with day one APS, admission source, or admitting service.


In this analysis of a large prospective cohort of mechanically ventilated patients, we found that patients who required PMV, particularly the elderly, remain at high risk for death during the first year after critical care and experience persistent, significant ICU-associated functional disability at great costs. This study also reveals that the two suggested definitions for PMV, DRG 541/542 and ventilation for ≥ 21 days, select cohorts with similar baseline clinical characteristics and trends in survival, disposition, and resource utilization. Importantly, however, PMV defined by ventilation for ≥ 21 days more specifically identifies patients who are outliers in resource consumption among ventilated patients. DRG 541/542 will remain a useful identifier for selecting PMV patients from large administrative databases, but the biases created by using this definition should be acknowledged in future studies.

Our analyses also provide compelling new observations about PMV patients related to their trajectories of post-discharge health outcomes and resource utilization. First, unlike patients ventilated for shorter periods of time, the majority of DRG 541/542 deaths occurred after hospital discharge and was disproportionately weighted toward the elderly. In addition to a high risk for postdischarge death, the average one-year DRG 541/542 survivor reported a notable burden of chronic illness reflected by two dependencies in basic functioning, five limitations in higher levels of functioning, and need for significant amounts of unpaid care giving assistance from family members. We also found that many PMV patients, particularly those ventilated for at least 21 days, received care with questionable short-term cost-effectiveness. These findings may help to clarify what PMV patients may experience regarding the general rate and magnitude of their functional recovery as well as reinforce others' concerns about the shifting of increasingly ill patients to posthospital care venues [4, 14, 18]. However, these observations also reflect the current difficulty in predicting PMV outcomes, because a physician's assessment that the patient has a reasonable chance of survival and basic functioning is inherent in their decision to place a tracheostomy.

Comparison of our findings with work by others is challenging because of differences in PMV definition and study design. Past research has shown one-year survival rates to range from 39% to 25%, similar to our patients [14, 34]. Still others have described PMV hospital survival and reported contradictory findings regarding group-based mortality [9, 35]. To our knowledge, however, one-year health outcomes of PMV patients have not been compared with concurrently enrolled non-PMV patients [36]. PMV patient costs in this study are similar to past work when adjusted to 2005 US$, although our assessments of potentially ineffective care are unique [4].

This study has limitations that are worth emphasizing. First, there was a significant amount of missing data due to death and inability to complete interviews, although we used novel statistical analyses to address these deficits. Because patients who could not complete interviews were more likely to have received PMV and also to have higher severity of illness scores, it is likely that this omission resulted in an underestimate of the PMV cohort's actual disability. Some may disagree with our choice to include both patient and proxy assessments of physical function in our analyses, although past experience with proxy-completed questionnaires has determined their reliability and validity [37]. Also, because of the unclear effect that refusals and eligibility factors during the enrollment of the original cohort had on our post hoc patient groups, our findings should be considered carefully. Finally, because this study was performed using a secondary source, it is susceptible to personal interpretational biases.

PMV provision and its associated $20 billion in annual inpatient costs have a profound effect on the health care system and those navigating within it [4]. Patients do not know what to expect from a course of PMV, and their family members have a high prevalence of depression and postdischarge care giving burden [18, 38]. Also, clinicians struggle with PMV decision making because available prognostic models cannot match these patients' individuality [39]. Considering these observations, we believe that attention should be focused on developing PMV-specific health outcome prediction models, improving physician-family and physician-patient communication, and conducting formal economic analyses of PMV provision.


PMV defined as ventilation for ≥ 21 days is more specific than DRG 541/542 (previously DRG 483) as marker of resource utilization and potentially ineffective care for true outliers of critical care, namely the chronically critically ill. However, the more sensitive term DRG 541/542 captures a group that nonetheless has persistent postdischarge deficits in functioning that are more profound than the disability of short-term ventilation recipients. Researchers should consider carefully the implications of these different PMV definitions based on the goals of future studies.

Key messages

  • Patients receiving mechanical ventilation for ≥ 21 days after acute illness have one-year mortality similar to that in patients receiving mechanical ventilation for shorter periods.

  • Hospital costs for patients receiving PMV are substantially higher than for patients ventilated for shorter periods, and up to 41% of PMV patients receive potentially ineffective care.

  • Identification of PMV patients using DRG 541/542, rather than the definition ≥ 21 days of mechanical ventilation, selects patients who have lower illness severity, lower mortality, and lower hospital costs.

  • Despite having better baseline functional status than patients ventilated for shorter periods, DRG 541/542 patients have lower functional capabilities after one year.



activity of daily living


diagnosis related group


instrumental activity of daily living


intensive care unit


prolonged mechanical ventilation


Short Form 36-item questionnaire.


  1. Dasta JF, McLaughlin TP, Mody SH, Piech CT: Daily cost of an intensive care unit day: the contribution of mechanical ventilation. Crit Care Med 2005, 33: 1266-1271. 10.1097/01.CCM.0000164543.14619.00

    Article  PubMed  Google Scholar 

  2. Angus DC, Kelley MA, Schmitz RJ, White A, Popovich J Jr: Caring for the critically ill patient. Current and projected workforce requirements for care of the critically ill and patients with pulmonary disease: can we meet the requirements of an aging population? JAMA 2000, 284: 2762-2770. 10.1001/jama.284.21.2762

    Article  CAS  PubMed  Google Scholar 

  3. Behrendt CE: Acute respiratory failure in the United States: incidence and 31-day survival. Chest 2000, 118: 1100-1105. 10.1378/chest.118.4.1100

    Article  CAS  PubMed  Google Scholar 

  4. Carson SS, Bach PB: The epidemiology and costs of chronic critical illness. Crit Care Clin 2002, 18: 461-476. 10.1016/S0749-0704(02)00015-5

    Article  PubMed  Google Scholar 

  5. Gillespie DJ, Marsh HM, Divertie MB, Meadows JA III: Clinical outcome of respiratory failure in patients requiring prolonged (greater than 24 hours) mechanical ventilation. Chest 1986, 90: 364-369.

    Article  CAS  PubMed  Google Scholar 

  6. Gracey DR, Viggiano RW, Naessens JM, Hubmayr RD, Silverstein MD, Koenig GE: Outcomes of patients admitted to a chronic ventilator-dependent unit in an acute-care hospital. Mayo Clin Proc 1992, 67: 131-136.

    Article  CAS  PubMed  Google Scholar 

  7. Carson SS, Bach PB, Brzozowski L, Leff A: Outcomes after long-term acute care. An analysis of 133 mechanically ventilated patients. Am J Respir Crit Care Med 1999, 159: 1568-1573.

    Article  CAS  PubMed  Google Scholar 

  8. Douglas SL, Daly BJ: Caregivers of long-term ventilator patients: physical and psychological outcomes. Chest 2003, 123: 1073-1081. 10.1378/chest.123.4.1073

    Article  PubMed  Google Scholar 

  9. Kollef MH, Ahrens TS, Shannon W: Clinical predictors and outcomes for patients requiring tracheostomy in the intensive care unit. Crit Care Med 1999, 27: 1714-1720. 10.1097/00003246-199909000-00003

    Article  CAS  PubMed  Google Scholar 

  10. Nelson JE, Tandon N, Mercado AF, Camhi SL, Ely EW, Morrison RS: Brain dysfunction: another burden for the chronically critically ill. Arch Intern Med 2006, 166: 1993-1999. 10.1001/archinte.166.18.1993

    Article  PubMed  Google Scholar 

  11. MacIntyre NR, Epstein SK, Carson S, Scheinhorn D, Christopher K, Muldoon S: Management of patients requiring prolonged mechanical ventilation: report of a NAMDRC consensus conference. Chest 2005, 128: 3937-3954. 10.1378/chest.128.6.3937

    Article  PubMed  Google Scholar 

  12. Cox CE, Carson SS, Holmes GM, Howard A, Carey TS: Increase in tracheostomy for prolonged mechanical ventilation in North Carolina, 1993–2002. Crit Care Med 2004, 32: 2219-2226.

    PubMed  Google Scholar 

  13. Quintel M, Roth H: Tracheostomy in the critically ill: clinical impact of new procedures. Intensive Care Med 1999, 25: 326-328. 10.1007/s001340050845

    Article  CAS  PubMed  Google Scholar 

  14. Scheinhorn DJ, Chao DC, Stearn-Hassenpflug M, LaBree LD, Heltsley DJ: Post-ICU mechanical ventilation: treatment of 1,123 patients at a regional weaning center. Chest 1997, 111: 1654-1659.

    Article  CAS  PubMed  Google Scholar 

  15. Engoren M, Arslanian-Engoren C, Fenn-Buderer N: Hospital and long-term outcome after tracheostomy for respiratory failure. Chest 2004, 125: 220-227. 10.1378/chest.125.1.220

    Article  PubMed  Google Scholar 

  16. Muthen B, Muthen LK: Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. Alcohol Clin Exp Res 2000, 24: 882-891. 10.1111/j.1530-0277.2000.tb02070.x

    Article  CAS  PubMed  Google Scholar 

  17. Daly BJ, Douglas SL, Kelley CG, O'Toole E, Montenegro H: Trial of a disease management program to reduce hospital readmissions of the chronically critically ill. Chest 2005, 128: 507-517. 10.1378/chest.128.2.507

    Article  PubMed  Google Scholar 

  18. Nelson JE, Kinjo K, Meier DE, Ahmad K, Morrison RS: When critical illness becomes chronic: informational needs of patients and families. J Crit Care 2005, 20: 79-89. 10.1016/j.jcrc.2004.11.003

    Article  PubMed  Google Scholar 

  19. Quality of Life After Mechanical Ventilation in the Aged Investigators: 2-month mortality and functional status of critically ill adult patients receiving prolonged mechanical ventilation. Chest 2002, 121: 549-558. 10.1378/chest.121.2.549

    Article  Google Scholar 

  20. Chelluri L, Im KA, Belle SH, Schulz R, Rotondi AJ, Donahoe MP, Sirio CA, Mendelsohn AB, Pinsky MR: Long-term mortality and quality of life after prolonged mechanical ventilation. Crit Care Med 2004, 32: 61-69. 10.1097/01.CCM.0000098029.65347.F9

    Article  PubMed  Google Scholar 

  21. 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

    Article  CAS  PubMed  Google Scholar 

  22. 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 physiological function. JAMA 1963, 185: 914-919.

    Article  CAS  PubMed  Google Scholar 

  23. Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, Bastos PG, Sirio CA, Murphy DJ, Lotring T, Damiano A, et al.: The APACHE III prognostic system: risk prediction of hospital mortality for critically ill hospitalized adults. Chest 1991, 100: 1619-1636.

    Article  CAS  PubMed  Google Scholar 

  24. Lawton MP, Brody EM: Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 1969, 9: 179-186.

    Article  CAS  PubMed  Google Scholar 

  25. 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

    Article  PubMed  Google Scholar 

  26. Heyland DK, Hopman W, Coo H, Tranmer J, McColl MA: Long-term health-related quality of life in survivors of sepsis. Short Form 36: a valid and reliable measure of health-related quality of life. Crit Care Med 2000, 28: 3599-3605. 10.1097/00003246-200011000-00006

    Article  CAS  PubMed  Google Scholar 

  27. Social Security Death Index[]

  28. Consumer price indexes[]

  29. Schafer JL: Analysis of Incomplete Multivariate Data. 1st edition. London, New York: Chapman & Hall; 1997.

    Book  Google Scholar 

  30. Rubin DB: Multiple Imputation for Nonresponse in Surveys. Hoboken, NJ: Wiley-Interscience; 2004.

    Google Scholar 

  31. Verbeke G, Molenberghs G: Linear Mixed Models for Longitudinal Data. New York: Springer-Verlag; 2000.

    Google Scholar 

  32. Gray RJ: Flexible methods for analyzing survival data using splines. J Am Stat Assoc 1992, 87: 942-951. 10.2307/2290630

    Article  Google Scholar 

  33. Cher DJ, Lenert LA: Method of Medicare reimbursement and the rate of potentially ineffective care of critically ill patients. JAMA 1997, 278: 1001-1007. 10.1001/jama.278.12.1001

    Article  CAS  PubMed  Google Scholar 

  34. Gracey DR, Naessens JM, Krishan I, Marsh HM: Hospital and posthospital survival in patients mechanically ventilated for more than 29 days. Chest 1992, 101: 211-214.

    Article  CAS  PubMed  Google Scholar 

  35. Williams TA, Dobb GJ, Finn JC, Webb SA: Long-term survival from intensive care: a review. Intensive Care Med 2005, 31: 1306-1315. 10.1007/s00134-005-2744-8

    Article  PubMed  Google Scholar 

  36. Douglas SL, Daly BJ, Gordon N, Brennan PF: Survival and quality of life: short-term versus long-term ventilator patients. Crit Care Med 2002, 30: 2655-2662. 10.1097/00003246-200212000-00008

    Article  PubMed  Google Scholar 

  37. Hofhuis J, Hautvast JL, Schrijvers AJ, Bakker J: Quality of life on admission to the intensive care: can we query the relatives? Intensive Care Med 2003, 29: 974-979.

    PubMed  Google Scholar 

  38. Im K, Belle SH, Schulz R, Mendelsohn AB, Chelluri L: Prevalence and outcomes of caregiving after prolonged (> or = 48 hours) mechanical ventilation in the ICU. Chest 2004, 125: 597-606. 10.1378/chest.125.2.597

    Article  PubMed  Google Scholar 

  39. Carson SS, Bach PB: Predicting mortality in patients suffering from prolonged critical illness: an assessment of four severity-of-illness measures. Chest 2001, 120: 928-933. 10.1378/chest.120.3.928

    Article  CAS  PubMed  Google Scholar 

Download references


This research was supported by National Institutes of Health grants K23 HL081048 (CC), K23 HL067068 (SC), and RO1 AG11979 (LC). The funding agency had no role in study design, data collection, data analysis, data interpretation, writing of the manuscript, or in the decision to submit the manuscript for publication.

Author information

Authors and Affiliations



Corresponding author

Correspondence to Shannon S Carson.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

CC conceived this secondary study, performed statistical analyses and interpreted data, and drafted the manuscript. SC interpreted data and drafted the manuscript. MO and JHL performed statistical analyses and drafted the manuscript. JG interpreted the data and drafted the manuscript. LC obtained funding for the original study, designed the original study, gathered data for the original study, supervised this study, and revised the manuscript critically. CC, SC, MO, JHL, and LC have given final approval of the version to be published.

Authors’ original submitted files for images

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cox, C.E., Carson, S.S., Lindquist, J.H. et al. Differences in one-year health outcomes and resource utilization by definition of prolonged mechanical ventilation: a prospective cohort study. Crit Care 11, R9 (2007).

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: