Characteristics and outcomes of lung cancer patients after intensive care admission

Prognostic and risk factor analysis of cancer patients after unplanned ICU admission: a real-world multicenter study

To investigate the occurrence and 90-day mortality of cancer patients following unplanned admission to the intensive care unit (ICU), as well as to develop a risk prediction model for their 90-day prognosis. We prospectively analyzed data from cancer patients who were admitted to the ICU without prior planning within the past 7 days, specifically between May 12, 2021, and July 12, 2021. The patients were grouped based on their 90-day survival status, and the aim was to identify the risk factors influencing their survival status. A total of 1488 cases were included in the study, with an average age of 63.2 ± 12.4 years. The most common reason for ICU admission was sepsis (n = 940, 63.2%). During their ICU stay, 29.7% of patients required vasoactive drug support (n = 442), 39.8% needed invasive mechanical ventilation support (n = 592), and 82 patients (5.5%) received renal replacement therapy. We conducted a multivariate COX proportional hazards model analysis, which revealed that BMI and a history of hypertension were protective factors. On the other hand, antitumor treatment within the 3 months prior to admission, transfer from the emergency department, general ward, or external hospital, high APACHE score, diagnosis of shock and respiratory failure, receiving invasive ventilation, and experiencing acute kidney injury (AKI) were identified as risk factors for poor prognosis within 90 days after ICU admission. The average length of stay in the ICU was 4 days, while the hospital stay duration was 18 days. A total of 415 patients died within 90 days after ICU admission, resulting in a mortality rate of 27.9%. We selected 8 indicators to construct the predictive model, which demonstrated good discrimination and calibration. The prognosis of cancer patients who are unplanned transferred to the ICU is generally poor. Assessing the risk factors and developing a risk prediction model for these patients can play a significant role in evaluating their prognosis.

One-year survival in patients with solid tumours discharged alive from the intensive care unit after unplanned admission: A retrospective study

PURPOSE

Outcomes in cancer patients after unplanned ICU admission was reassessed.

METHODS

retrospective cohort of patients with solid tumours admitted to ICU over a 10 years period.

RESULTS

622 patients (age 62 [53-70]) were analysed. The most common primary sites of cancer were lung (n = 133; 21.4%) and digestive tract (n = 126; 20.2%) The ICU mortality rate was 22.2% (n = 138). Among 470 ICU survivors, the 1-year mortality was 41.3% (95% CI, 36-45.9) (n = 167). Factors independently associated with 1-year mortality were ICU admission after 2010 (HR 0.53 (0.37-0.76), p < .001), disease status (respectively, HR = 1.88 (1.0.2-3.45), p = .002) for locally advanced cancer and HR = 2.23 (1.35-3.67), p = .003) for metastatic cancer), poor performance status (HR = 1.58 (1.08-2.31), p = .019), newly diagnosed cancer at ICU admission (HR = 2.02 (1.28-3.20), p = .003), inability to receive oncologic treatment after ICU discharge (HR = 5.34 (3.49-8.18), p < .001) and decision to withhold life-sustaining treatment during ICU stay (HR = 2.34 (1.50-3.65), p < .001).

CONCLUSIONS

Among the factors associated with one-year mortality after ICU discharge, the possibility of receiving oncologic treatment after ICU discharge seems crucial.