scholarly journals Efficacy of Possum in Surgical Audit of Patient Undergoing Emergency Surgery at Nepalgunj Medical College

2018 ◽  
Vol 14 (2) ◽  
pp. 2-7
Author(s):  
S V Bharti ◽  
S M Mishra ◽  
R R Ranjitkar ◽  
A O Chhetri
Keyword(s):  
Risk Factors ◽  
Emergency Surgery ◽  
Severity Score ◽  
Scoring System ◽  
College Teaching ◽  
Treatment Modalities ◽  
Mortality And Morbidity ◽  
Medical College ◽  
Operative Severity Score ◽  
Significant Difference

 Introduction: The Physiological and Operative Severity Score for the en Umeration of Mortality and morbidity (POSSUM) has been proposed as a method for standardizing patient data so that direct comparisons can be made in spite of differing patterns of referral and population.Aims and objectives: To evaluate the efficacy of a scoring system for predicting the incidence of postoperative complications and mortality in patient undergoing Emergency Surgeries based on the Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (POSSUM).Material and Methods: This is a hospital based cross sectional study of all the cases that had undergone Emergency Surgery at Nepalgunj Medical College Teaching Hospital from the period of July 2014 to June 2015. The period of follow up was 30 days following the surgical procedure? A total of 100 emergency surgeries, as defined by the POSSUM scoring system criteria were studied. Predicted mortality and morbidity rates were calculated using the POSSUM equation by exponential analysis method. It was then compared with the actual outcomes. Observed: Expected Ratio (O:E) was calculated and difference detected by chi-square test. The risk factors as scored in the POSSUM criteria were noted.Results: Applying exponential analysis, an observed to expected ratio (O:E) for mortality of 0.44 was obtained, indicating significant 2 difference between the predicted and observed values (x =93.207, df 63, p=0.008). But, an observed to expected ratio (O:E) for 2 morbidity of 1.01 was obtained and there was no significant difference between the predicted and observed values (x =76.295, df 71, p=0.312). It was found to be comparable to other studies. In all the risk factors studied, a positive correlation was found between deaths and post-operative complications with higher POSSUM scores.Conclusion: POSSUM scoring system could accurately predict overall morbidity while it over predicted the overall mortality. POSSUM scoring system serves as a good predictor of post-operative outcome in major general surgical procedures and was applicable even in our setup and be used for comparing various treatment modalities and assessing the quality of care provided. JNGMC Vol. 14 No. 2 December 2016,   page: 2-7  

scholarly journals Evaluation of P- POSSUM Scoring System in Patients Undergoing Emergency Laparotomy

2017 ◽  
Vol 16 (2) ◽  
pp. 28-36
Author(s):  
Manoj Kumar Jha ◽  
Yahun Chandra Sibakoti ◽  
Harihar Devkota
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Prospective Study ◽  
Scoring System ◽  
Emergency Laparotomy ◽  
Mortality And Morbidity ◽  
Operative Severity Score ◽  
Significant Difference ◽  
One Year ◽  
Operative Findings

Introduction: The Physiological and Operative Severity Score for the enumeration of Mortality and morbidity (POSSUM) and its modification the Portsmouth POSSUM (P-POSSUM), have been proposed as a method for standardizing patient data so that direct comparisons can be made despite differing patterns of referral and population. In this prospective study, the validity of P-POSSUM was tested in patients undergoing emergency laparotomy and the risk factors for low outcome were noted.Methods: This is the Prospective Study and was conducted in Department of surgery, of a tertiary level hospital. The study period was from April 2014- April 2015 for one year. Patients admitted under department of general surgery scheduled to undergo emergency laparotomy were included and scored according to their physiological and operative findings using a proforma sheet. Physiological scoring was performed just before surgery and operative scoring was carried out intra-operatively. Patients were followed-up for the first 30 days postoperative period. The observed mortality rate was compared with the P-POSSUM predicted mortality rate. Data analysis was done using SPSS 20.Results: A total of 60 patients who met the inclusion criteria were included in this study. On applying linear analysis, an observed to expected ratio of 1.18 was obtained, indicating a significant fit for predicting the post-operative adverse outcome. There was no significant difference between the observed and predicted mortality rates (x2 = 1.467, 4 df., P = 0.833). It was found to be comparable to other studies. In all the risk factors studied, a positive correlation was found between deaths and higher POSSUM scores.Conclusion: Portsmouth POSSUM scoring system serves as a good predictor of post-operative outcome in emergency laparotomy procedures.

scholarly journals Assessment of surgical outcome in emergency gastrointestinal surgeries using P-POSSUM score

2017 ◽  
Vol 5 (7) ◽  
pp. 3007
Author(s):  
Prasan Kumar Hota ◽  
Harshita Yellapragada
Keyword(s):  
Health Care ◽  
Surgical Outcome ◽  
Scoring System ◽  
Statistical Significance ◽  
Surgical Care ◽  
Mortality And Morbidity ◽  
Possum Score ◽  
Operative Severity Score ◽  
Significant Difference

Background: The physiological and operative severity score for the enumeration of mortality and morbidity (POSSUM) and its modification, Portsmouth-POSSUM (P-POSSUM), are considered as methods of risk scoring. Application of this scoring system helps in assessing the quality of the health care provided and surgical outcome. Its utilization in our country where the level of healthcare and resources differ is limited. Hence, a prospective study to assess the outcome of emergency GI surgeries using P-POSSUM scoring system in a teaching hospital at district level was taken up.Methods: 80 cases which underwent emergency GI surgeries were studied. Using P-POSSUM equation, predicted mortality and morbidity rates were calculated and compared with the actual outcome. Statistical significance was calculated using chi square test.Results: An observed to expected ratio of 0.71 and 0.60 was obtained for mortality and morbidity respectively. No significant difference was noted between expected to observed mortality and morbidity rates with P=0.23 and P=0.09 for mortality and morbidity respectively, suggesting a reasonably good quality of outcome. P-POSSUM over predicted mortality and morbidity in low risk groups while it accurately predicted the outcome in high risk groups.Conclusions: The quality of surgical care provided and surgical outcome are comparable to other health care systems, with observed to expected mortality and morbidity ratio being nearly same. P-POSSUM can be used as a tool for outcome audits.

scholarly journals POSSUM escore como preditor de mortalidade em pacientes cirúrgicos

2009 ◽  
Vol 43 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Adriana Cristina Galbiatti Parminondi Elias ◽  
Tiemi Matsuo ◽  
Cíntia Magalhães Carvalho Grion ◽  
Lucienne Tibery Queiroz Cardoso ◽  
Paulo Henrique Verri
Keyword(s):  
Severity Score ◽  
Apache Ii ◽  
Mortality And Morbidity ◽  
Operative Severity Score

O estudo avaliou a utilização do escore POSSUM (Physiological and Operative Severity Score for Enumeration of Mortality and Morbidity) para predizer a mortalidade na prática cirúrgica.Foram analisados 416 pacientes cirúrgicos com internação na UTI para cuidados de pós-operatório. Foram realizadas comparações entre as taxas de mortalidade predita e observada de acordo com 4 grupos de risco: 0-4%, 5-14%, 15-49%, 50% ou mais, e calculada a área sob a curva ROC do escore POSSUM e APACHE II para a mortalidade. A taxa de mortalidade foi de 22,4%. O escores POSSUM e APACHE II superestimaram o risco de morte, e a área sob a curva ROC do POSSUM foi de 0,762 e a do APACHE II de 0,737, sugerindo a utilização do POSSUM como ferramenta auxiliar na predição de risco de morte em pacientes cirúrgicos.

scholarly journals Risk factor Analysis and Angiographic Profiles in First 228 Cases Undergone Coronary Angiography in Cardiac Cath Lab of Dhaka Medical College Hospital

1970 ◽  
Vol 3 (2) ◽  
pp. 122-125 ◽  
Author(s):  
AEMM Islam ◽  
M Faruque ◽  
AW Chowdhury ◽  
HIR Khan ◽  
MS Haque ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Risk Factor ◽  
Coronary Angiography ◽  
Medical Therapy ◽  
Stable Angina ◽  
College Hospital ◽  
Mortality And Morbidity ◽  
Medical College ◽  
Single Vessel

Background: Coronary artery diseases are one of the major challenges faced by cardiologists. Control of certain risk factors for CAD is associated with decrease in mortality and morbidity from myocardial infarction and unstable angina. So, identification and taking appropriate measures for primary and secondary prevention of such risk factors is, therefore, of great importance. This retrospective study was carried at the newly set up cath lab in Dhaka Medical college. Materials and Methods: Total 228 consecutive case undergone diagnostic coronary angiogram from 10th January 2007 to31st January 2009 out of which 194(80%) were male and 34 (20%) were female. In both sexes most of the patients were between 41 to 60 years of age. Risk factors of the patients were evaluated. Results: In females commonest risk factor was Diabetes (58.8%) followed by dyslipidaemia (35.3%). In males commonest risk factor was hypertension (30.9%) followed by smoking (29.9%) and diabetes (28.3%). In males 44.3% patients presented with acute myocardial infarction followed by stable angina (43.3%); but in females stable angina was the commonest presentation (50.0%) followed by myocardial infarction (38.2%).CAG findings revealed that in males 33.5% had double vessel disease 26.8% followed by single vessel 26.8% and multivessel disease 25.3%. In females normal CAG was found in 35.5% followed by double vessel 23.5%, multivessel 20.6% and single vessel 20.6%. On the basis of CAG findings; in males 41.8% patients were recommended for CABG, followed by PTCA & stenting 26.3% and medical therapy 30.0%; where as in females 55.9% were recommended for medical therapy , followed by CABG 32.4% and PTCA & stenting11.8%. Conclusion: The commonest presentation of CAD was 4th and 5th decades in both sexes. Diabetes and dyslipidaemia were more common in females whereas hypertension and smoking were more common in males. Myocardial infarction and stable angina were most common presentation in both sexes though in males myocardial infarction was more common. In males the angiographic severity of CAD was more and they were more subjected for CABG in comparison to females. Key words: Risk factors; Coronary angiography. DOI: http://dx.doi.org/10.3329/cardio.v3i2.9179 Cardiovasc. J. 2011; 3(2): 122-125

scholarly journals Investigation of association between ABO blood groups and COVID-19 clinical severity

2021 ◽  
Vol 8 (12) ◽  
pp. 673-676
Author(s):  
Arzu İrvem ◽  
Abdurrahman Sarmış ◽  
Özlem Akgün Doğan ◽  
Jale Yıldız ◽  
Zafer Habib ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Group ◽  
Blood Groups ◽  
Ct Imaging ◽  
Clinical Severity ◽  
Imaging Findings ◽  
Mortality And Morbidity ◽  
Significant Difference ◽  
Important Center ◽  
Severity Of The Disease

Objective: COVID-19 has been detected in Turkey since March 11, 2020. Istanbul has become an important center of the pandemic in Turkey. Various risk factors for COVID-19 infection, mortality, and morbidity are under investigation. Recent studies have suggested that certain blood groups are risk factors for the disease. The aim of this study is the evaluation the relationship between blood groups and the risk of contracting COVID-19 disease, clinical severity of the disease, and CT (computed tomography) imaging findings. Material and Methods: Age, gender, blood group data, clinical severity and CT images of 300 patients who were positive with RT PCR (Reverse transcription-polymerase chain reaction) and were followed up in the clinic were retrospectively scanned and recorded. The clinical severity of the disease and CT imaging findings were scored, and the data were evaluated statistically. Results: While the incidence of COVID-19 was high in the A blood group, it was low in the 0 blood group. Although there was no significant difference between blood types and clinical severity, the involvement in the B blood group was more severe on CT imaging. Conclusion: People with A blood group should pay more attention to protection and isolation. Investigating this difference and underlying pathogenic mechanisms can guide science with advanced studies.

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