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  1. Fulltext Sarcopenia is a useful risk stratification tool to prognosticate splenic abscess patients in the emergency department
    Hung SK, Kou HW, Hsu KH, Wu CT, Lee CW, Leonard Goh ZN, et al.
    J Formos Med Assoc, 2021 Mar;120(3):997-1004.
    PMID: 32917483 DOI: 10.1016/j.jfma.2020.08.039
    BACKGROUND/PURPOSE: Splenic abscess is a life-threatening surgical emergency which requires early diagnosis and intervention to maximize patient outcomes. This can be achieved through accurate risk stratification in the emergency department (ED). Sarcopenia refers to an age-related loss of skeletal muscle mass and strength that is accompanied by major physiologic and clinical ramifications, and often signifies decreased physiologic reserves. It is associated with poor clinical outcomes in sepsis, acute respiratory failure, oncological surgery, and liver transplantation. This study evaluates the utility of sarcopenia as a radiological stratification tool to predict in-hospital mortality of splenic abscess patients in the ED. This will assist emergency physicians, internists and surgeons in rapid risk stratification, assessing treatment options, and communicating with family members.

    METHODS: 99 adult patients at four training and research hospitals who had undergone an abdominal contrast computed tomography scan in the ED with the final diagnosis of splenic abscess from January 2004 to November 2017 were recruited. Evaluation for sarcopenia was performed via calculating the psoas cross-sectional area at the level of the third lumbar vertebra and normalising for height, before checking it against pre-defined values. Univariate analyses were used to evaluate the differences between survivors and non-survivors. Sensitivity, specificity, and predictive values of the presence of sarcopenia in predicting in-hospital mortality were calculated. Kaplan-Meier methods, log-rank test, and Cox proportional hazards model were also performed to examine survival between groups with sarcopenia versus non-sarcopenia.

    RESULTS: Splenic abscess patients with sarcopenia were 7.56 times more at risk of in-hospital mortality than those without sarcopenia (multivariate-adjusted HR: 7.56; 95% CI: 1.55-36.93). Presence of sarcopenia was found to have 84.62% sensitivity and 96.49% negative predictive value in predicting mortality.

    CONCLUSION: Sarcopenia is associated with poor prognoses of in-hospital mortality in patients with splenic abscess presenting to the ED. We recommend its use in the ED to rapidly risk stratify and predict outcome to guide treatment strategies.

  2. Fulltext Shock Index: A Simple and Effective Clinical Adjunct in Predicting 60-Day Mortality in Advanced Cancer Patients at the Emergency Department
    Cheng TH, Sie YD, Hsu KH, Goh ZNL, Chien CY, Chen HY, et al.
    Int J Environ Res Public Health, 2020 07 07;17(13).
    PMID: 32646021 DOI: 10.3390/ijerph17134904
    Deciding between palliative and overly aggressive therapies for advanced cancer patients who present to the emergency department (ED) with acute issues requires a prediction of their short-term survival. Various scoring systems have previously been studied in hospices or intensive care units, though they are unsuitable for use in the ED. We aim to examine the use of a shock index (SI) in predicting the 60-day survival of advanced cancer patients presenting to the ED. Identified high-risk patients and their families can then be counseled accordingly. Three hundred and five advanced cancer patients who presented to the EDs of three tertiary hospitals were recruited, and their data retrospectively analyzed. Relevant data regarding medical history and clinical presentation were extracted, and respective shock indices calculated. Multivariate logistic regression analyses were performed. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive performance of the SI. Nonsurvivors within 60 days had significantly lower body temperatures and blood pressure, as well as higher pulse rates, respiratory rates, and SI. Each 0.1 SI increment had an odds ratio of 1.39 with respect to 60-day mortality. The area under the ROC curve was 0.7511. At the optimal cut-off point of 0.94, the SI had 81.38% sensitivity and 73.11% accuracy. This makes the SI an ideal evaluation tool for rapidly predicting the 60-day mortality risk of advanced cancer patients presenting to the ED. Identified patients can be counseled accordingly, and they can be assisted in making informed decisions on the appropriate treatment goals reflective of their prognoses.
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