scholarly journals Wastage of rarest blood and blood components can be stopped: 9 years retrospective and cross-sectional study at tertiary hospital

2018 ◽  
Vol 6 (11) ◽  
pp. 3678
Author(s):  
Balkrishna H. Namdhari ◽  
Tapasya V. Bharati ◽  
Ashish P. Shinde
Keyword(s):  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Descriptive Study ◽  
Tertiary Hospital ◽  
Cross Sectional Study ◽  
Red Cells ◽  
Care Hospital ◽  
Blood Components ◽  
Sectional Study ◽  
Cross Sectional

Background: Inventory of blood/blood components suffer due to outdating of Rh Negative units. Rationale of this article is strategy of transfusion of O Rh Negative red cells to all. A Rh Negative red cells can be given to A Rh Positive, AB Rh Positive. B Rh Negative red cells can be given to B Rh Positive, AB Rh Positive. AB Rh Negative red cells to AB Rh Positive recipients. AB Rh Negative FFP/PRP can be given to all. Objective was to avoid out dating of Rh Negatives by studying the percentage of outdated Rh Negative units amongst the all outdated.Methods: This was 9 years observational, retrospective, cross sectional and descriptive study conducted at tertiary care hospital. Outdated units of Rh Negative blood and components were analysed from the year wise discard registers of blood bank. Percentage of Rh Negative units within all outdated units were calculated.Results: 198 Rh Negative units of whole blood and blood components within all outdated units was 29.11%. Out of 198 the 20 Rh Negative blood components were discarded.Conclusions: Adopt type and screen protocol to prevent outdating. Avoid to bleed the rare blood groups. Audit by hospital transfusion committee and implementation of MSBOS. Track O Rh Negative red cells transfusion to Rh Positive as quality indicator. Track/review transfusion of O Rh negative red cells to Non O Rh negative recipients. Track AB Rh Negative FFP/PRP transfusions to all.

scholarly journals Correlation between sonological and clinical profile of mesenteric lymphadenitis among children in a tertiary care hospital of central Kerala

2021 ◽  
Author(s):  
Vinod Joseph ◽  
Danny Jose Titus ◽  
Aby Dany Varghese ◽  
Jijo Joseph John ◽  
Girija Mohan ◽  
...  
Keyword(s):  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Tertiary Hospital ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Age Group ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mesenteric Lymphadenitis ◽  
Younger Age

Background: For abdominal pain in children, imaging is routinely applied to make a possible diagnosis both in the outpatient and in the emergency department. Though the diagnosis of mesenteric lymphadenitis is made often these days, the significance of the size and number is still ambiguous and most studies consider mesenteric lymphadenitis is defined as three or more lymph nodes that are each 5 mm or greater in the short axis.Methods: Cross-sectional study was conducted in a tertiary hospital in central Kerala and the study tool included a detailed structured questionnaire.Results: Our study included 115 children with pain in the abdomen. 69 were found to have mesenteric lymphadenitis. Younger age group, fever as a symptom and acute infective gastroenteritis are statistically significantly associated with mesenteric lymphadenitis.Conclusions: In our study, acute infective gastroenteritis was the most common cause to be associated with mesenteric lymphadenitis which was. The incidence of mesenteric lymphadenitis was found to be more in children below 5 years.

Confidence toward vaccination as reported by parents of children admitted to a tertiary care hospital in Riyadh, Saudi Arabia: A cross sectional study

Vacunas ◽  
2020 ◽  
Vol 21 (2) ◽  
pp. 95-104 ◽  
Author(s):  
Y.M. AlGoraini ◽  
N.N. AlDujayn ◽  
M.A. AlRasheed ◽  
Y.E. Bashawri ◽  
S.S. Alsubaie ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional

A Cross-sectional Study of Undiagnosed Fever in a Rural Population at a Tertiary Care Hospital of West Bengal

2018 ◽  
Vol 4 (3) ◽  
Author(s):  
Nandini Chatterjee ◽  
Supratick Chakraborty ◽  
Mainak Mukhopadhyay ◽  
Sinjon Ghosh ◽  
Bikramjit Barkandaj ◽  
...  
Keyword(s):  
Rural Population ◽  
West Bengal ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals SURVEY OF PATTERN OF DRUG INTERACTIONS IN PATIENTS BEING PRESCRIBED ANTI-DIABETIC MEDICATIONS IN A TERTIARY CARE HOSPITAL: PROSPECTIVE CROSS SECTIONAL STUDY

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Sujeet A. Divhare ◽  
Satyashil Ingale
Keyword(s):  
Diabetes Mellitus ◽  
Drug Interactions ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Potential Ddis ◽  
Cross Sectional

Background: Potential importance of drug –drug interactions (DDIs) is increasing as polypharmacy becomes more prevalent. Because additional data on the incidence and pattern of potential DDIs among diabetic patients are lacking in India, and supplemental pharmacodynamic or clinical outcome information is needed to address importance of a drug- drug interaction. Aim and objectives: To identify and analyze the pattern of DDIs in patients being prescribed anti-diabetic drugs in a tertiary care hospital. Material and Methods: This prospective cross-sectional study was carried out for a period of three months in 200 Type 2 diabetes mellitus (Type 2 DM) patients who were taking at least one antidiabetic agent during the period of past six months, of any age and either sex admitted in medicine ward of a tertiary care teaching hospital. Only one prescription was included for each patient on his/her 3rd day of hospitalization in the ward. Results: A total of 1217 drugs were prescribed in 200 prescriptions, resulting in an average of 6.1 drugs per prescription. A total of 637 potential DDIs were noted. The majority were seen in middle aged and elderly people. No overall difference was detected in the patients on insulin or metformin therapy taking or not taking additional drugs with the potential to interact. Worse control was found in the group of patients on sulphonylurea therapy taking interacting drugs (P <0.05). This difference was most marked in the group of patients over 60 years of age, who also had the highest intake of potentially interacting drugs (57%; <35 years-37%). Conclusion: Antidiabetic drugs have numerous interactions. A good practice is to use a drug­–drug interaction checker if any questions arise, several are available online. Quality care starts with the clinician obtaining a complete medication list for each patient at the start of each visit. Keywords: diabetes mellitus, drug interactions, hypoglycemic agents, drug therapy, co-morbidity, polypharmacy

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