scholarly journals Clinical Outcome of Patients Hospitalized in a Tertiary Care Hospital of Nepal with Confirmed Influenza A/pdm 09(H1N1) in 2018/2019

2020 ◽  
Vol 18 (2) ◽  
pp. 196-200
Author(s):  
Upasana Acharya ◽  
Subhash Prasad Acharya
Keyword(s):  
Influenza A ◽  
Case Fatality Rate ◽  
Tertiary Care Hospital ◽  
Average Length ◽  
Tertiary Care ◽  
Case Fatality ◽  
Care Hospital ◽  
Fatality Rate ◽  
Hospital System ◽  
Average Length Of Stay

Background: It is important to monitor the cases affected by Influenza A/pdm09 as it is difficult to predict the behavior of Influenza A/pdm09 virus as a seasonal influenza. This study aimed to measure the clinical outcomes of patients with Influenza A/pdm 09 in a tertiary care hospital of Nepal in post pandemic period.Methods: A retrospective study was conducted in a tertiary care hospital of central Nepal to record the confirmed cases of Influenza A/pdm 09 from April 2018 to March 2019.The medical records of those patients whose throat sample had been sent to laboratory for testing Influenza A/pdm 09 were referred. The outcomes were then abstracted from the hospital system/medical record department.Results: Among 141 influenza suspected cases, 35.5%(N=50) were Influenza A/Pdm 09 positive. Both male and female were equal in distribution (N=25). Most positive cases were from the age group of 15-64 yrs. Out of total,72 %( N=36) with Influenza A/pdm 09 were discharged after treatment whereas case fatality rate was 22 %( N=11). Twenty-one positive cases were admitted in intensive care unit in which 52.4% expired. The average length of stay in I.C.U and mechanical ventilation were 6.4 days and 5.8 days respectively.Conclusions: This study in post pandemic period in Nepal shows the outcomes of patients with confirmed influenza A/pdm 09 in a year time period with comparably high case fatality rate. Keywords: Influenza A/pdm 09; Nepal; post pandemic, retrospective

scholarly journals Sex and gender differences in COVID-19: an Italian local register-based study

BMJ Open ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. e051506
Author(s):  
Francesca Fortunato ◽  
Domenico Martinelli ◽  
Sergio Lo Caputo ◽  
Teresa Santantonio ◽  
Vitangelo Dattoli ◽  
...  
Keyword(s):  
Case Fatality Rate ◽  
Average Length ◽  
Case Fatality ◽  
Fatality Rate ◽  
Sex And Gender ◽  
Average Length Of Stay ◽  
Virus Clearance ◽  
Disaggregated Data ◽  
And Gender ◽  
Mean Time

ObjectivesThe present study aimed to explore differences in COVID-19 outcomes between male and female cases in the Apulian District of Foggia, Italy.Design and settingWe performed a retrospective epidemiological study among all COVID-19 confirmed cases that occurred in the Apulian District of Foggia from 29 February to 30 June 2020. The surveillance data from a regional registry (GIAVA-COVID) were used.Main outcomesThe main outcome measures were the proportion of hospitalisations, virus clearance and the case fatality rate.ResultsA total of 1175 cases (50.7% female; median age: 55 years) were identified among 55 131 tests performed. The proportion of hospitalisation with COVID-19 diagnosis was 45.4% in men versus 37.9% in women (p<0.01), while the average length of stay in hospitals was 31.3±14.6 days in women versus 26.8±14.4 days in men (p<0.01). The proportion of cases who achieved virus clearance was higher in women (84.2%; days to clearance: 28.0±12.1) than in men (79.3%; days to clearance: 29.4±12.9; p<0.05). Men were associated with a significantly higher risk of dying from COVID-19 than women (case fatality rate 16.1% vs 10.4%; p<0.01). The mean time, from diagnosis to death, was 14.5±14.4 days in women compared with 10.6±10.7 days in men (p<0.01). The male sex, age ≥55 years and presence of at least one underlying comorbidity significantly raised the risk of hospitalisation, persistent infection and death (p<0.05).ConclusionsThis study suggests that more attention should be paid to sex as a variable for the interpretation of COVID-19 data. Sex-disaggregated data will help clinicians to make appropriate patient-tailored medical decisions.

scholarly journals Percent Bed occupancy rate in a selected specialized tertiary care hospital in Dhaka city

1970 ◽  
Vol 11 (1) ◽  
pp. 18-24 ◽  
Author(s):  
H Rahman ◽  
SME Haque ◽  
MA Hafiz
Keyword(s):  
Length Of Stay ◽  
Tertiary Care Hospital ◽  
Average Length ◽  
Tertiary Care ◽  
Calculated Data ◽  
Care Hospital ◽  
Dhaka City ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Average Length Of Stay

Background and Aims: Providing a necessary care for a sick person outside home 'in hospes or hospital' dates back to nearly 300 century BC. In the present day hospital care facilities has been taken an institutional shape both in public and private sector. A hospital bed is both a scarce and expensive commodity in healthcare. Administrators running hospitals are in a dire need of objective measures and methods for efficient management of their limited financial resources. Bed utilization rates can be of immense help in realistic and effective decision making. The present study was undertaken to explore utilization of bed in a specialized tertiary care hospital in the Dhaka city. Methods: Hospital records of the year were reviewed- age, gender, disease profile, duration of hospital stay, outcome of treatment were recorded and bed occupancy rate was calculated. Data were presented as number, percentage and/ or mean SD, as appropriate. The dada were managed by Statistical Package for Social Science (SPSS) for Windows Version 10. Results: The results showed in the year 2001 total number of admissions were 13,305 of which 9953 (74.8%) were male and 3352 (25.2%) female. Average monthly admission was 1109. Maximum number of admissions (1304) was observed in the month of September of that year. Male admission rate was higher than female admission throughout the year. Among all the admission 27.2% were of road traffic accident cases. Among the admitted patients there was 57.3% discharge with advice, 1.9% death, 14.6% discharge on request bond, 12.7% discharge on request. Of all the admission there 12.5% found to be absconded. Bed occupancy rate was 79.75% and average length of stay in the hospital 18.47 days. Conclusions: The present data suggest that (i) in terms of bed occupancy rate the NITOR found to run in optimal capacity which, however, might be attributed to the relative high rate of ascendance and discharges on requests; (ii) average length of stay of patients appeared to be relatively longer and (iii) the management need to look into the issue and take appropriate measures to reduce patients unwanted long duration of stay and make the tertiary care hospital improve the quality of services. DOI: http://dx.doi.org/10.3329/bjms.v11i1.9817 BJMS 2012; 11(1): 18-24

scholarly journals Assessment of performance of services in a tertiary care Neuropsychiatric Institute using Pabon Lasso Model

2016 ◽  
Vol 7 (6) ◽  
pp. 69-74 ◽  
Author(s):  
Chandra Bhushan Tripathi ◽  
Rajesh Kumar ◽  
Ramesh Chandra Sharma ◽  
Rachna Agarwal
Keyword(s):  
Tertiary Care Hospital ◽  
Average Length ◽  
Tertiary Care ◽  
Cost Effective ◽  
Care Hospital ◽  
Bed Occupancy ◽  
Medical Sciences ◽  
Cross Sectional ◽  
Average Length Of Stay ◽  
Quantitative Performance

Background: The objective of the study to assess optimal utilisation of hospital facilities &  evaluate their performance in a tertiary care hospital using Pabon Lasso Model using indicators- bed turnover (BTO), bed occupancy rate (BOR) and average length of stay (ALS).Aims and Objective: To assess optimal utilisation of hospital facilities various wards catering to psychiatric, neurological and neurosurgery services in a tertiary care hospital using Pabon Lasso model and to identify strategies for more efficient use of the existing health service resources.Materials and Methods: This cross-sectional descriptive study was carried out in 2015 at the Institute of Human Behaviour and Allied Sciences, Delhi, India. This study involved various wards catering to psychiatric, neurological and neurosurgery facilities in the institute. Their performance was evaluated over 8 year period (2007- 2014) using three performance indicators (BTO, BOR & ALS) to assess optimal utilisation of hospital facilities.Results: Psychiatry department was initially located in quadrant IV in 2007 & shifted to quadrant III in 2014 which suggests department’s good quantitative performance with small proportion of unused beds. Similarly Neurosurgery department was in quadrant I at its inception in 2010, but shifted to quadrant III in 2014. However, Neurology department was located in quadrant III initially (2007), but shifted to quadrant II indicating either excess bed supply or less need for utilisation.Conclusion: Pabon Lasso model can be used by hospital management for evaluating the performance of health services in cost effective manner.Asian Journal of Medical Sciences Vol.7(5) 2016 69-74

scholarly journals Clinico-epidemiological profile of patients admitted with Plasmodium vivax malaria in a tertiary care hospital, Delhi

2018 ◽  
Vol 5 (12) ◽  
pp. 5420 ◽  
Author(s):  
Geeta Yadav ◽  
Geeta Pardeshi ◽  
Neelam Roy
Keyword(s):  
Plasmodium Vivax ◽  
Severe Malaria ◽  
Vivax Malaria ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Case Fatality ◽  
Care Hospital ◽  
Who Criteria ◽  
Epidemiological Profile ◽  
Safdarjung Hospital

Background: Malaria is an important public health problem in India. Severe and complicated forms of malaria are usually associated with Plasmodium falciparum species. But recently published literature suggests that Plasmodium vivax infection also presents as severe malaria. The objective was to study clinical and epidemiological profile of patients with P. vivax malaria admitted in Safdarjung hospital.Methods: A record based retrospective study was conducted in Vardhman Mahavir Medical College & Safdarjung Hospital, a tertiary care hospital in Delhi. Data were collected from all case records with ICD 10 codes for Malaria (B50-B54) for the year 2011 obtained from Medical Records Department, Safdarjung Hospital and analyzed using SPSS 21.0.Results: A total of 147 case records which had information about the test results for type of malaria infection were reviewed. Out of 147, 89 (60.5%) had P. vivax malaria. Of the 89 patients with P. vivax malaria, 47 (53%) were children and 63 (70.7%) were males. A peak in the number of inpatients was seen in September with median duration of hospital stay of 4 days and case fatality rate of 9%. A total of 56 (63%) patients had one or more severe manifestations of malaria as per WHO criteria. The most common severe manifestation was bleeding 27 (30%) followed by impaired consciousness 18 (20%).Conclusions: In more than half of the malaria patients admitted at the tertiary care centre the diagnosis was P. vivax malaria. Of them 63% patients had severe malaria as per WHO criteria.

Comparison of Predictors of Mortality between Young and Elder Covid-19 Patients Admitted in Covid-19 Designated Tertiary Care Hospital

Healthline ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 46-54
Author(s):  
Sonal Shah ◽  
Manisha Kapdi ◽  
Jyoti Vora ◽  
Kuldeep Joshi ◽  
Pratik Patel ◽  
...  
Keyword(s):  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Case Fatality ◽  
Care Facility ◽  
Health Care Facility ◽  
Care Hospital ◽  
Chi Square ◽  
Neutrophil Lymphocyte Ratio ◽  
Predictors Of Mortality ◽  
Co Morbidity

Background: The outbreak of Covid-19 has led to a health emergency and economic crisis worldwide. Mortality in productive age further worsens the crisis, so it is important to understand reasons for death in productive age group. Objective: To identify predictors of mortality and to compare the intensity of rise in inflammatory markers of amongst young Covid-19 decedents in comparison with elder Covid-19 decedents. Method: Record based study of Covid-19 infected admitted patients was conducted in tertiary care hospital. Information of all (n=3131, 209 deceased and 2922 recovered patients) Covid-19 positive patient assessed . Their clinico epidemiological markers were compared between younger (18-45 years) decedents in comparision with elder decedents (>45 years). Mann–Whitney U-test and the Chi-square test for significance were used. Bivariate Multiple logistic regression was used to identify predictors in younger and elder decedents. Results: Case Fatality Rate (CFR) in Covid-19 infected patients was 2.4% and 9.7% amongst younger and elder group respectively. (OR 8.83 : 95% CI 5.9-13.2; p < 0.001). Biomarkers were raised and similar in both groups except Neutrophil Lymphocyte Ratio (NLR) was significantly higher in elder decedent while LDH was significantly higher in younger decedents. Conclusions: Males had higher CFR than females after 45 years of age, which was due to co-morbidity. Reaching late to the health care facility and high LDH were predictors in younger decedent, while male gender, co morbidities and high NLR were more important predictors in elder group.

scholarly journals Risk factors for incidence and case-fatality rates of healthcare-associated infections: a 20-year follow-up of a hospital-based cohort

2015 ◽  
Vol 144 (1) ◽  
pp. 198-206 ◽  
Author(s):  
R.-F. WANG ◽  
S.-H. SHEN ◽  
A. M.-F. YEN ◽  
T.-L. WANG ◽  
T.-N. JANG ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Incidence Rate ◽  
Case Fatality Rate ◽  
Tertiary Care ◽  
Case Fatality ◽  
Healthcare Associated Infections ◽  
Fatality Rate ◽  
Infection Site ◽  
Healthcare Associated

SUMMARYInformation is lacking on the integrated evaluation of mortality rates in healthcare-associated infections (HAIs). Our aim was to differentiate the risk factors responsible for the incidence from those for the case-fatality rates in association with HAIs. We therefore examined the time trends of both incidence and case-fatality rates over a 20-year period at a tertiary-care teaching medical centre in Taiwan and the mortality rate was expressed as the product of the incidence rate and the case-fatality rate. During the study period the overall mortality rate fell from 0·46 to 0·32 deaths/1000 patient-days and the incidence rate fell from 3·41 to 2·31/1000 patient-days, but the case-fatality rate increased marginally from 13·5% to 14·0%. The independent risk factors associated with incidence of HAIs were age, gender, infection site, admission type, and department of hospitalization. Significant prognostic factors for HAI case-fatality were age, infection site, intensive care, and clinical department. We conclude that the decreasing trend for the HAI mortality rate was accompanied by a significant decline in the incidence rate and this was offset by a slightly increasing trend in the case-fatality rate. This deconstruction approach could provide further insights into the underlying complex causes of mortality for HAIs.

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