MDMichael E. Detsky

Michael E. Detsky

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Michael E. Detsky has a total of 19 co-authors. Here are the top co-authors by number of shared publications:

  • Aaron M. Delman

    Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States

    3 shared publications
  • Anna E. Buehler

    Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States

    3 shared publications
  • Isabella V. Ciuffetelli

    Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States

    3 shared publications
  • Saida A. Kent

    Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States

    3 shared publications
  • Dominique F. Bayard

    2 shared publications
  • Elizabeth Cooney

    2 shared publications

Latest Publications

  • Open Access

    Patients’ primary activities prior to critical illness: how well do clinicians know them and how likely are patients to return to them?

    by Alexi T. Gosset, Michael C. Sklar, Aaron M. Delman, Michael E. Detsky

  • Patients' perceptions and ICU clinicians predictions of quality of life following critical illness

    by Michael E. Detsky, Rachel Kohn, Aaron M. Delman, Anna E. Buehler, Saida A. Kent, Isabella V. Ciuffetelli, Mark E. Mikkelsen, Alison E. Turnbull, Michael O. Harhay


  • Contributors to Intensive Care Unit Clinicians’ Predictions of Patient Outcomes: A Qualitative Analysis

    by Anna E. Buehler, Isabella V. Ciuffetelli, Aaron M. Delman, Saida A. Kent, Dominique F. Bayard, Elizabeth Cooney, Scott D. Halpern, Michael E. Detsky

    Background Information about a critically ill patient’s prognosis is important to the shared decision-making process. The factors that physicians and nurses consider when generating their prognoses are not well understood. Objective To explore the factors that intensive care unit clinicians consider when prognosticating for their patients. Methods Intensive care unit clinicians (physicians and nurses) were asked to predict 6-month survival and describe the patient-related factors that they considered in their prognoses. The reported factors were tallied and compared with predictions of 6-month survival or death and with correct and incorrect predictions. Results Physicians and nurses completed 254 and 286 surveys, respectively, for 303 patients. Of 23 factors identified, the 3 most frequently reported were acute conditions, medical history and comorbid conditions, and trajectory. For patients predicted to be alive at 6 months, physicians commonly mentioned the factors procedures and age; nurses mentioned behavior patterns, previous experiences, and social support. For patients predicted to be dead at 6 months, both groups commonly mentioned cancer. Factors with the highest ratios of correct to incorrect predictions reported by physicians were procedures and definitive treatment; those reported by nurses were procedures, behavior patterns, and current functional status. Conclusions Intensive care unit clinicians use various patient factors to inform their prognoses. Clinicians use different factors when predicting survival than when predicting death. Some factors are reported more frequently for correct predictions than for incorrect predictions.


  • An unexpected but underestimated case of disseminated toxoplasmosis

    by Tiffany Chan, Patrick T. Shannon, Michael E. Detsky

    Toxoplasma gondii is a ubiquitous intracellular parasite that can cause disseminated infection following reactivation in immunocompromised hosts. We describe a 58‐year‐old man who died of refractory shock because of disseminated toxoplasmosis. The diagnosis was only made postmortem on autopsy. We discuss the importance of considering toxoplasmosis on the differential diagnosis in high‐risk patients, and review the role of screening and chemoprophylaxis in preventing infection.


  • Six-Month Morbidity and Mortality among Intensive Care Unit Patients Receiving Life-Sustaining Therapy. A Prospective Cohort Study

    by Michael E. Detsky, Michael O. Harhay, Dominique F. Bayard, Aaron M. Delman, Anna E. Buehler, Saida A. Kent, Isabella V. Ciuffetelli, Elizabeth Cooney, Nicole B. Gabler, Sarah J. Ratcliffe, et al.

    Rationale: Understanding long-term outcomes of critically ill patients may inform shared decision-making in the intensive care unit (ICU). Objectives: To quantify 6-month functional outcomes of general ICU patients, and develop a multivariable model comprising factors present during the first ICU day to predict which patients will return to their baseline function 6 months later. Methods: We conducted a prospective cohort study in three medical ICUs and two surgical ICUs in three hospitals. We enrolled patients who spent at least 3 days in the ICU and received mechanical ventilation for more than 48 hours and/or vasoactive infusions for more than 24 hours. Results: We measured 6-month outcomes including survival, return to original place of residence, and physical and cognitive function. Of 303 enrolled patients, 299 (98.7%) had complete follow-up at 6 months. Among the 169 patients (56.5%) who survived to 6 months, 82.8% returned home, 81.9% were able to toilet, 71.3% were able to ambulate 10 stairs, and 62.4% reported normal cognition. Overall, 31.1% of patients returned to their baseline status on these measures. Factors associated with not returning to baseline included higher APACHE III score, being a medical patient, older age, nonwhite race, recent hospitalization, prior transplantation, and a history of cancer or of neurologic or liver disease. A model including only these Day 1 factors had good discrimination (area under receiver operating characteristic curve, 0.778; 95% confidence interval, 0.724–0.832) and calibration (difference between observed and expected P value, 0.36). Conclusions: Among patients spending at least 3 days in an ICU and requiring even brief periods of life-sustaining therapy, nearly one-half will be dead and less than one-third will have returned to their baseline status at 6 months. Of those who survive, the majority of patients will be back at home at 6 months. Future research is needed to validate this multivariable model, including readily available patient characteristics available on the first ICU day, that seems to identify patients who will return to baseline at 6 months.