Long-term survival and function after suspected gram-negative sepsis.

OBJECTIVE To determine the long-term (> 3 months) survival of septic patients, to develop mathematical models that predict patients likely to survive long-term, and to measure the health and functional status of surviving patients. SETTING A large tertiary care university hospital and an associated Veterans Affairs Medical Center. DESIGN From December 1986 to December 1990, a total of 103 patients with suspected gram-negative sepsis entered a double-blind, placebo-controlled efficacy trial of monoclonal antiendotoxin antibody. Of these, we followed up 100 patients for 7667 patient-months. Beginning in May 1992, we reviewed hospital records and contacted all known survivors. We measured the health status of all surviving patients. MAIN OUTCOME MEASURES The determinants of long-term survival (up to 6 years) were identified through two Cox proportional hazard regression models: one that included patient characteristics identified at the time of sepsis (bedside model) and another that included bedside, infection-related, and treatment characteristics (overall model). RESULTS Of the 60 patients in the cohort who died at a median interval of 30.5 days after sepsis, 32 died within the first month of the septic episode, seven died within 3 months, and four more died within 6 months. In the bedside multivariate model constructed to predict long-term survival, large hazard ratios (HRs) were associated with severity of underlying illness as classified by McCabe and Jackson criteria (for rapidly fatal disease, HR = 30.4, P < .001; for ultimately fatal disease, HR = 7.6, P < .001) and the use of vasopressors (HR = 2.5; P = .001). In the overall model for long-term survival, severity of underlying illness (rapidly fatal disease, HR = 23.7, P < .001; ultimately fatal disease, HR = 6.5, P < .001), number of active comorbid illnesses (HR = 1.3; P = .04), use of vasopressors at the time of sepsis (HR = 2.0; P = .02), and development of adult respiratory distress syndrome (HR = 2.3; P = .02) predicted patients most likely to die. The Acute Physiology and Chronic Health Evaluation II score was not a significant predictor of outcome when either model included the simpler McCabe and Jackson classification of underlying disease severity. We compared the health status scores with norms for the general population and found that patients with resolved sepsis reported more physical dysfunction (P < .001), including problems with work and activities of daily living (P = .02), and more poorly perceived general health (P < .01). In contrast, patients' scores for perceived emotional health were higher than those in the general population (P = .004). The mean Barthel score of our patients was 85 (100 = total independence) and the mean Eastern Cooperative Oncology Group score was 0.7 (0 = normal, 4 = 100% bedridden), suggesting that the patients' physical function was not normal. CONCLUSIONS At the onset of suspected gram-negative sepsis, severity of underlying illness and in-hospital use of vasopressors are strong and consistent predictors of short- and long-term survival. Our data validate the McCabe and Jackson severity of illness scoring system for predicting long-term survival after sepsis. Physical dysfunction and more poorly perceived general health occur commonly after sepsis.

[1]  N. MacIntyre,et al.  A second large controlled clinical study of E5, a monoclonal antibody to endotoxin: results of a prospective, multicenter, randomized, controlled trial. The E5 Sepsis Study Group. , 1995, Critical care medicine.

[2]  D. Bates,et al.  How bad are bacteremia and sepsis? Outcomes in a cohort with suspected bacteremia. , 1995, Archives of internal medicine.

[3]  W. Knaus,et al.  Predicting Future Functional Status for Seriously Ill Hospitalized Adults: The SUPPORT Prognostic Model , 1995, Annals of Internal Medicine.

[4]  D. Pittet,et al.  The natural history of the systemic inflammatory response syndrome (SIRS). A prospective study. , 1995, JAMA.

[5]  M R Pinsky,et al.  Long-term outcome of critically ill elderly patients requiring intensive care. , 1993, JAMA.

[6]  R. Bone Gram-negative sepsis: a dilemma of modern medicine , 1993, Clinical Microbiology Reviews.

[7]  R. Bone,et al.  Toward an epidemiology and natural history of SIRS (systemic inflammatory response syndrome) , 1992, JAMA.

[8]  W. Knaus,et al.  Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine. , 1992, Chest.

[9]  C. Sherbourne,et al.  The MOS 36-Item Short-Form Health Survey (SF-36) , 1992 .

[10]  R. Danner,et al.  Anti-endotoxin monoclonal antibodies. , 1992, The New England journal of medicine.

[11]  M. Ma Epidemiology and clinical impact of gram-negative sepsis. , 1991 .

[12]  R. Bone,et al.  Gram-negative sepsis. Background, clinical features, and intervention. , 1991, Chest.

[13]  Jerome J. Schentag,et al.  A Controlled Clinical Trial of E5 Murine Monoclonal IgM Antibody to Endotoxin in the Treatment of Gram-Negative Sepsis , 1991 .

[14]  C. Sprung,et al.  Treatment of gram-negative bacteremia and septic shock with HA-1A human monoclonal antibody against endotoxin. A randomized, double-blind, placebo-controlled trial. The HA-1A Sepsis Study Group. , 1991 .

[15]  A. Coldman,et al.  A three-year study of positive blood cultures, with emphasis on prognosis. , 1991, Reviews of infectious diseases.

[16]  D. Kleinbaum,et al.  Psychologic distress as a predictor of mortality. , 1989, American Journal of Epidemiology.

[17]  T. Clemmer,et al.  Sepsis syndrome: a valid clinical entity , 1989 .

[18]  S. Wallenstein,et al.  Number of Comorbidities as a Predictor of Nosocomial Infection Acquisition , 1988, Infection Control & Hospital Epidemiology.

[19]  A. Jette,et al.  Functional disability assessment. , 1987, Physical therapy.

[20]  W. Knaus,et al.  APACHE II: a severity of disease classification system. , 1985 .

[21]  D. Cox,et al.  Analysis of Survival Data. , 1985 .

[22]  K. Moser,et al.  The outlook for survivors of ARDS. , 1983, Chest.

[23]  A. Morris,et al.  Pulmonary function and exercise gas exchange in survivors of adult respiratory distress syndrome. , 1981, The American review of respiratory disease.

[24]  L. Hudson,et al.  Pulmonary Function Following Adult Respiratory Distress Syndrome , 1978, Chest.

[25]  Mahoney Fi,et al.  FUNCTIONAL EVALUATION: THE BARTHEL INDEX. , 1965 .

[26]  G. Jackson,et al.  Gram-Negative Bacteremia: I. Etiology and Ecology , 1962 .

[27]  J A TAIANA,et al.  [Cancer of the lung]. , 1952, The Journal of the International College of Surgeons.