Publications by authors named "A E Cura Hum"

Article Synopsis
  • - Patients with severe COVID-19 often experience rapid worsening of symptoms, particularly dyspnea, necessitating early involvement of specialist palliative care (SPC) for effective symptom management and end-of-life care.
  • - A study at the National Centre for Infectious Diseases in Singapore analyzed nonventilated COVID-19 patients between January 2021 and July 2022 to identify risk factors for high use of opioids and benzodiazepines in managing dyspnea.
  • - Findings revealed that patients with higher dyspnea scores and lower ISARIC-4C mortality scores were more likely to be high users of these medications, indicating they have increased oxygen needs and higher mortality rates, thus highlighting the need for timely
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Background: Clustering algorithms can identify distinct heart failure (HF) subgroups. The choice of algorithms, modelling process, and input variables can impact clustering outcomes. Therefore, we reviewed analytical methods and variables used in studies that performed clustering in patients with HF.

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Introduction: Symptom burden is a crucial factor for survival prognostication, but older adults may report fewer and less severe symptoms than younger patients. We investigated the impact of age on symptom severity and its prognostic implications in the prognostic model for advanced cancer (PRO-MAC).

Materials And Methods: Eight hundred forty subjects with incurable cancer, who were reviewed by palliative medicine at a tertiary university hospital, were categorized into four groups based on age: < 65 (young), 65-74 (young-old), 75-84 (old-old), and ≥ 85 (oldest-old) for comparison.

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Background: Patients with chronic lung diseases (CLDs), defined as progressive and life-limiting respiratory conditions, experience a heavy symptom burden as the conditions become more advanced, but palliative referral rates are low and late. Prognostic tools can help clinicians identify CLD patients at high risk of deterioration for needs assessments and referral to palliative care. As current prognostic tools may not generalize well across all CLD conditions, we aim to develop and validate a general model to predict one-year mortality in patients presenting with any CLD.

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Background: Many individuals with advanced dementia die in hospital, despite preferring home death. Existing evidence of factors affecting their place of death is inconsistent. To inform policies/practices for meeting needs/preferences, systematically establishing the evidence is pertinent, particularly given the exponential rise in advanced dementia prevalence.

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