UNASSIGNED: Hospital-based morbidity and mortality records reflect the health status of host communities. This helps policymakers and industry actors plan and allocate resources for health services, research, training, and development. This study aimed to determine the pattern and outcome of medical admissions in a Nigerian teaching hospital.
UNASSIGNED: This was a three-year retrospective review from 2019 to 2021.Data on morbidity and mortality were extracted from ward registers. The relevant data was analysed using the IBM SPSS software. Tests were considered significant at p values of less than 0.05.
UNASSIGNED: A total of 2544 patients were admitted during the study period. There were 1420 females (55.8%) and 1124 males (44.2%), and the majority (36.9%) of patients were middle-aged. The mean age was 53.81 ± 18.81 years, and the mean duration of hospital stay was 9.07 ± 8.41 days, with 97.2% of the patients spending less than 30 days on admission. Non-communicable diseases (70.6%) were the most common causes of admissions. The top disease-specific causes of admissions were diabetes mellitus with its complications (14.9%), renal failure (11.8%), heart failure (9.2%), hypertension and its emergencies (9.2%), stroke (7.8%) and tuberculosis (7.0%). Cardiology (15.5%), endocrinology (15.1%), nephrology (15.0%), pulmonology (14.8%), and neurology (13.3%) accounted for the majority (86.4%) of the admissions. The major causes of death were renal failure (16.2%), stroke (15.8%), diabetes mellitus and its complications (12.5%) and HIV/AIDS (8.7%). The majority (86.7%) of patients were discharged, 10.4% died, 2.2% were discharged against medical advice, and 0.7% were referred.
UNASSIGNED: The study found an increased burden of non-communicable diseases relative to communicable diseases. Effective health education and promotion initiatives must be implemented to combat the impact of the increasing prevalence of these diseases.

UNASSIGNED: Various patients needing organ or systemic support and close monitoring are routinely managed in the intensive care unit. This includes patients that emanate from various sources, like the trauma unit, emergency department, inpatient wards, and post-anesthesia care unit. Admissions into the intensive care unit due to medical conditions have not been analyzed in our environment to determine the common indications and the outcome. We aimed to determine the pattern of medical admissions and outcomes in the intensive care unit.
UNASSIGNED: A retrospective study of all patients admitted to the intensive care unit of Nnamdi Azikiwe University Teaching Hospital Nnewi, Anambra State, Nigeria, from January 1, 2014 to December 31, 2020, with medical diagnosis was conducted. Data were retrieved from the intensive care unit admission and discharge registers and analyzed using the Statistical Package for Social Sciences (SPSS) Version 20 (IBM Corp., Chicago, Illinois, USA).
UNASSIGNED: Eighty-nine medical patients were admitted, which accounted for 7.63% of the total intensive care unit admissions of 1167 patients during the period, with a preponderance of males (57.3%). The most common medical condition for intensive care unit admission (31.5%) was a cerebrovascular accident. The mean length of stay was found to be 5.13 ± 3.42 days. Mortality following medical intensive care unit admission was 56.18%, which contributed to about 11.4% of the total ICU mortality.
UNASSIGNED: When compared to all other reasons for admission to a general intensive care unit, medical conditions account for a small percentage. The most frequent illness was a cerebrovascular accident.

UNASSIGNED: Previous works show that noncommunicable diseases (NCDs) are on the rise in developing nations, including Ethiopia, in the background of preexisting communicable diseases (CDs). Data on hospital admission in sub-Saharan Africa are scarce, particularly prospectively collected, and hence this study was done to close the gap in acquiring accurate diagnosis usually faced with retrospective data. We aimed to describe medical admission patterns, their outcomes and determinants at Ayder Comprehensive Specialized Hospital (ACSH) in Tigray, Ethiopia.
UNASSIGNED: Data were collected prospectively from November 1, 2017 to October 31, 2018 for all medical admissions. Sociodemographic profiles, final diagnosis, outcome of hospitalization, and complications were recorded using a data-abstraction checklist. Data were analyzed using SPSS 26.
UNASSIGNED: There were 2084 medical admissions over 1 year. Median age was 45 years (IQR 31). A majority (1107, 53.1%) were male. The age-group 25-34 years had the most admissions (19.0%). NCDs constituted 68.2% of admissions. According to the International Classification of Diseases, patients were admitted most frequently due to disease of the circulatory system (36.7%) followed by infectious or parasitic diseases (24.1%). Of NCDs, cardiovascular diseases contributed to 53.9%, followed by cancers (8.6%). Of CDs, HIV/AIDS contributed to 31.3%, followed by tuberculosis (22.8%). A total of 1375 (66%) were discharged improved, while 311 (14.9%) died. On multivariate analysis, the in-hospital mortality was significantly higher (18.7%) for CDs than NCDs (13.2%, AOR 1.8, 95% CI 1.4-2.3; P<0.001). Bed occupancy of ACSH medical wards and ICU was 54%.
UNASSIGNED: NCDs were leading causes of medical admissions in ACSH. The presence of CDs and the development of complications were associated with higher risk of death. Attention should be given by policy-makers to curb the higher morbidity from NCDs and mortality from CDs.

OBJECTIVE: Critically ill solid organ malignancy patients admitted to intensive care unit (ICU) as unplanned medical admissions behave differently from other subsets of cancer patients (hematolymphoid malignancies and cancer patients admitted for postoperative care). These patients if appropriately selected may benefit from the ICU care. There is paucity of data on critically ill unplanned admissions of solid organ malignancies from South Asia. We analyzed data of patients with solid tumors with unplanned admissions to the ICU to determine the clinical, epidemiological characteristics, and predictors of hospital mortality in an Indian ICU.
METHODS: This prospective, observational study was done in our 14-bedded mixed medical-surgical ICU from July 2014 to November 2015. We included all consecutive adult unplanned admissions with solid organ malignancies having ICU stay of >24 hours. Surgical admissions, hematolymphoid malignancies, advanced malignancy with no treatment options, and those cured of cancer >5 years were excluded.
RESULTS: Two hundred and thirty-five consecutive patients were included in this cohort. ICU and hospital mortalities were 36.6 and 40%, respectively. On multivariate analysis, cancer status [odds ratio (OR): 3.204; 95% confidence interval (CI): 1.271-8.078], invasive mechanical ventilation (OR: 5.940; 95% CI: 2.632-13.408), and sequential organ failure assessment (SOFA) score on the day of ICU admission (OR: 1.199; 95% CI: 1.042-1.379) were independent predictors of hospital mortality.
CONCLUSIONS: Acute respiratory failure and septic shock are the common reasons of unplanned ICU admission for patients with solid organ malignancies. With good patient selection, more than half of such patients are likely to be discharged alive from the hospital.
UNASSIGNED: Siddiqui SS, Narkhede AM, Chaudhari HK, Ravisankar NP, Dhundi U, Sarode S, et al. Clinico-demographic and Outcome Predictors in Solid Tumor Patients with Unplanned Intensive Care Unit Admissions: An Observational Study. Indian J Crit Care Med 2021;25(12):1421-1426.

BACKGROUND: Medical Assessment Units (MAUs) have become a popular model of acute medical care to improve patient flow through timely clinical assessment and patient management. The purpose of this study was to determine the effectiveness of a consensus-derived set of clinical criteria for patient streaming from the Emergency Department (ED) to a 15-bed MAU within the highly capacity-constrained environment of a large quaternary hospital in Queensland, Australia.
METHODS: Clinically coded data routinely submitted for inter-hospital benchmarking purposes was used to identify the cohort of medical admission patients presenting to the ED in February 2016 (summer) and June 2016 (winter). A retrospective review of patient medical records for this cohort was then conducted to extract MAU admission data, de-identified patient demographic data, and clinical criteria. The primary outcome was the proportion of admissions that adhered to the MAU admission criteria.
RESULTS: Of the total of 540 included patients, 386 (71 %) patients were deemed to meet the MAU eligibility admission criteria. Among patients with MAU indications, 66 % were correctly transferred (95 % CI: 61 to 71) to the MAU; this estimated sensitivity was statistically significant when compared with random allocation (p-value < 0.001). Transfer outcomes for patients with contraindications were subject to higher uncertainty, with a high proportion of these patients incorrectly transferred to the MAU (73 % transferred; 95 % CI: 50 to 89 %; p-value = 0.052).
CONCLUSIONS: Based on clinical criteria, approximately two-thirds of patients were appropriately transferred to the MAU; however, a larger proportion of patients were inappropriately transferred to the MAU. While clinical criteria and judgement are generally established as the process in making decisions to transfer patients to a limited-capacity MAU, our findings suggest that other contextual factors such as bed availability, time of day, and staffing mix, including discipline profile of decision-making staff during ordinary hours and after hours, may influence decisions in directing patient flow. Further research is needed to better understand the interplay of other determinants of clinician decision making behaviour to inform strategies for improving more efficient use of MAUs, and the impact this has on clinical outcomes, length of stay, and patient flow measures in MAUs.

OBJECTIVE: To investigate whether a specific (SP) or non-specific (NSP) clinical presentation, predicts prognosis and in-hospital resource utilization in emergency medical admissions.
METHODS: We studied admissions over 5 years (2015-2019) and classified the symptom presentation as SP or NSP. The predictive capacity of the NSP category was related to 30-day in-hospital mortality with a multivariable logistic regression model. Utilization of procedures/services was related to hospital length of stay (LOS) with zero truncated Poisson regression.
RESULTS: There were 39,776 admissions in 23,995 patients. A NSP occurred in 18.2% of our top 20 clinical presentations; the top five being shortness of breath (12.8%), \'unwell\' (7.1%), collapse (4.1%), abdominal pain (3.6%) and headache (2.7%). Baseline demographic characteristics were similar and unrelated to type of presentation; the model adjusted mortality by SP 4.0% (95% CI: 3.8%, 4.2%) or NSP 3.9% (95% CI: 3.5%, 4.4%) was identical. LOS was a dependant quantitative function of procedures/services undertaken; for the top two presentations of shortness of breath (SP) or unwell (NSP) there was no relationship between a SP or NSP presentation and hospital utilization of procedures/services or LOS.
CONCLUSIONS: Our data suggest no utility for a categorisation of presentations as specific or non-specific in terms of provision of prognostic information nor as an indicator of the pattern of hospital investigation or LOS.

COVID-19 has had a profound effect on the NHS. Little information has been published as to how the unselected medical take has been affected.
We retrospectively reviewed patients who were referred to general medicine during March 2020. We compared clinical outcomes of patients with and without COVID-19.
814 patients were included, comprising 777 unique patients. On average, 26 patients were admitted per day. 38% of admitted patients were suspected of COVID-19, with greater numbers of COVID-19 patients in the second half compared to the first half of the month (p<0.001). Logistic regression analyses showed suspected COVID-19 was an independent predictor for inpatient mortality (odds ratio [OR] = 6.09, p<0.001) and 30-day mortality (OR = 4.66, p<0.001).
COVID-19 patients had worse clinical outcomes and increased healthcare use compared to non-COVID-19 patients. Our study highlights some of the challenges in healthcare provision faced during this pandemic.

BACKGROUND: The socioeconomic status of applicants to Canadian medical schools has been understudied in the past two decades. Institutional efforts have been made to address the lack of socioeconomic diversity across Canada during this time. We investigated the income characteristics of medical school applicants, as well as the relationship between applicant income and offer of admission, to characterize the current state of socioeconomic diversity in medical admissions.
METHODS: We conducted a retrospective cohort study on 26,120 applicants at one Ontario medical school from 2013 to 2018. Characteristics of applicants who were offered admission were compared to the general population and applicants not offered admission. Regression analyses were used to investigate the association between median total neighborhood income and successful admission.
RESULTS: The median total neighborhood income for medical school applicants was $98,816, which was approximately $28,480 higher than the Canadian general population. Those not admitted to the medical school had a median total neighborhood income of $98,304 compared to $105,984 for those offered admission (p < 0.001). This trend was seen in every province and territory in Canada. Median total neighborhood income was a predictor of an offer of admission; applicants in the >75th percentile income group had 54% increased odds of being offered admission when compared to applicants in the <25th percentile in our unadjusted model. Income was not significant in our adjusted models but showed that the income medians drastically shifted between pre-interview and post-interview periods, from $98,816 to $104,960 (p < 0.001).
CONCLUSIONS: Medical school applicants are from higher economic strata compared to the general population. Despite already representing a high economic stratum, a higher median total neighborhood income relative to other applicants was associated with an offer of admission.

Background: Population-based studies are the gold standard to understand the burden of different diseases, plan health care policy and resource allocation, and provide an accurate estimate of disease several disease indices including mortality. However, population-based studies are difficult to undertake in a resource-limited situation where no robust data bases and disease registries are available. Therefore, hospital-based cohorts may be used to inform about the community health. Objectives: We sought to study the pattern of disease causing admission, hospital stay, and outcomes of medical admissions to King Abdullah Hospital in Bisha in order to inform clinicians, public health professionals, and policymakers about the current status of diseases within the community in Bisha. Methods:This is a cross-sectional study including all adult patients aged above 18 years who were admitted to King Abdullah Hospital in Bisha, Assir region, to medical services including general internal medicine, general cardiology, nephrology, gastroenterology, rheumatology, and neurology during the study period between 1 June 2015 and 31 May 2016. Common causes of hospital admission, outcomes of hospitalization, and length of stay were estimated and the data were presented as frequency and percentage for categorical valve and mean and standard deviation for continuous variables. Results: Cardiovascular diseases including stroke are considered the leading cause of hospital admission in a teaching community hospital in Bisha, Assir region. Diabetes mellitus and hypertension are prevalent comorbidities among hospitalized patients. Majority of admitted patients have improved and discharged home (83.3%). However, 6.7% were transferred to another facility, 4.1% have left against medical advice, and 5.9% died. Conclusion: Health-related data bases and disease registries are urgently needed to precisely estimate the burden of cardiovascular disease in Assir region in Saudi Arabia. Lifestyle changes, healthy diet, aggressive management of hypertension and diabetes within the community, and allocating necessary resources are urgently to combat the growing burden of cardiovascular disease.

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