All Journals from Deirdre O’Riordan
Abstract
Aim: to create and validate a Risk Index for Geriatric Acute Medical Admissions (RIGAMA) for those aged ≥ 65, based on accumulation of deficits.
Methods: we retrospectively validated a 30-item RIGAMA against inpatient mortality, length of stay (LOS), discharge to long-term care (LTC) and 30-day readmission, adjusted for age.
Results: ≥ 1 RIGAMA deficit was superior to age in predicting mortality and prolonged LOS, with a clear incremental effect. The latter was true for ≥3 deficits in predicting 30-day readmission. Three to 5 deficits predicted discharge to LTC better than age.
Conclusion: RIGAMA is easy to collect by the admitting junior doctor and may help trigger early senior support and inform the appropriate use of hospital resources by older patients.
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Abstract
We describe a patient who presented with neurological symptoms and radiological findings consistent with metastatic malignancy in several sites. However, no obvious primary site of tumour was identified and the patient later went on to develop clinical features of sepsis whilst using palliative dexamethasone therapy. A diagnosis of actinomycosis was eventually made on open lung biopsy and the patient recovered completely on penicillin V. This case serves to illustrate the need to obtain a formal tissue diagnosis whenever possible in all cases of suspected malignancy, in addition to exposing the weaknesses inherent in empiric diagnoses.
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Abstract
Background: Following an emergency medical admission, patients may be admitted an acute medical assessment unit (AMAU) or directly into a ward. An AMAU provides a structured environment for their initial assessment and treatment.
Methods: All emergency admissions (66,933 episodes in 36,271 patients) to an Irish hospital over an 12-year period (2002-2013) were studied with 30-day in-hospital mortality as the outcome measure. Univariate Odds Ratios, by initial patient allocation, and the fully adjusted Odds Ratios were calculated, using a validated logistic regression model.
Results: Patients, by design, were intended to be admitted initially to the AMAU (<= 5 day stay). Capacity constraints dictated that only 39.8% of patients were so admitted; the remainder bypassed the AMAU to a ward (60.2%). All patients remained under the care of the admitting consultant/team. We computed the risk profile for each group, using a multiple variable validated model of 30-day in-hospital mortality; the model indicated the same risk profile between these groups. The univariate OR of an in-hospital death by day 30 for a patient initially allocated to the AMAU, compared with an initial ward allocation was 0.76 (95% CI: 0.71, 0.82- p<0.001). The fully adjusted risk for patients was 0.67 (95% CI: 0.62, 0.73- p<0.001). Conclusion: Patients, with equivalent mortality risk, allocated initially to AMAU or a more traditional ward, appeared to have substantially different outcomes.
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Background: Accurate efficient prognostication in acute medical admissions remains challenging.Methods: We constructed a Vital Sign based Risk Calculator using vital parameters and Major Disease Categories to predict 30-day in-hospital mortality using a multivariable fractional polynomial model.
Results: We evaluated 113,807 admissions in 58,126 patients. The Vital Sign based Risk Calculator predicted 30-day inhospital mortality to increase from 2 points - 3.6% (95%CI 3.4, 3.7) to 12 points - 14.8% (95%CI 14.0, 15.7). AUROC was 0.74 (95%CI 0.72, 0.74). The addition of illness severity and comorbidity data improved AUROC to 0.90 (95%CI 0.89, 0.90).
Conclusion: The Vital Sign based Risk Calculator is limited by its simplicity; inclusion of illness severity and comorbidity data improve prediction.
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Abstract
Background: There is concern that undue ED wait times may result in adverse outcomes.
Methods: We studied 30-day in-hospital mortality (2002-2017) for all medical admissions (106,586 episodes; 54,928 patients) focusing on clinical risk profile
Results: Comparing 2002-09 vs. 2010-17, median ED waits > 6 hours (hr) increased 10h (95% CI: 8,13) to 15h (95% CI: 9,19). 30-day mortality declined 6.2% to 4.9%- (RRR- 20.8%/ NNT- 78). 30-day-mortality by ED wait: - < 4hr 6.6% (95% CI: 6.3%, 6.9%), 4-8hr 4.8% (95% CI: 4.6%, 5.0%), 8-12hr 4.3% (95% CI: 4.1%, 4.5%) or >=12hr 4.2% (95% CI: 3.9%, 4.5%).
Conclusion: Admissions with shorter waits are overrepresented with high clinical acuity. Higher Risk Score patient with extended wait times had worse clinical outcomes.
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