scholarly journals Profile of patients with Myelodysplastic syndrome: A report from a tertiary care teaching hospital from Eastern India

2021 ◽  
Vol 0 ◽  
pp. 1-6
Author(s):  
Ankita Sen ◽  
Arnab Chattopadhyay ◽  
Shuvra Neel Baul ◽  
Rajib De ◽  
Sumit Mitra ◽  
...  

Objectives: Myelodysplastic syndrome (MDS) is a group of myeloid neoplasms. The clinical manifestations and treatments vary depending on the subtype and risk stratification of the disease. There is a paucity of data on Indian patients with MDS. This study was undertaken to understand MDS with regard to their clinical presentation, pathological, cytogenetic profiles and also to assess their therapeutic outcomes and prognosis from our center in Eastern India. Material and Methods: This is a prospective observational study conducted in the department of hematology at a tertiary care teaching hospital from eastern part of India. The diagnosis of MDS was made from the peripheral blood examination, bone marrow aspirate examination, cytogenetics, and Fluorescence in situ hybridization results, according to the WHO guidelines. Patients were risk stratified using Revised International Prognostic Scoring System (R-IPSS) and subsequent therapeutic planning was done, with either supportive therapy in the form of recombinant human erythropoiesis stimulating agents, colony stimulating factors, packed red blood cell support as needed for low risk MDS patients. High risk patients were treated with hypomethylating agents such as Azacytidine, Decitabine, or Lenalidomide. Results: The mean duration of follow-up of patients with MDS from the point of diagnosis was 1.8 years (range 4 months–6 years). The median OS was 1.33 years. The median OS in the analysis of our patient cohort with low, intermediate, high, and very high R-IPSS was 1.67 years, 1.33 years, 1.67 years, and 1.67 years, respectively. No patients of very low risk group were identified in our study. Conclusion: Our findings reflect that MDS-MLD with low or intermediate R-IPSS risk groups is the most common types of MDS. Although supportive therapy was used to treat patients irrespective of other therapy given (depending on the risk group of the patient), it was used alone even in higher risk groups due to logistic reasons in some cases. Those patients who received supportive care alone also had a good survival duration. However, a longer follow-up duration is required to firmly establish this outcome. The median age of patients (55 years) was also lower than established studies with a median overall survival of 1.67 years.

2017 ◽  
Vol 92 (4) ◽  
pp. 382-388
Author(s):  
Santosh Kumar Swain ◽  
Shaswat Kumar Pattnaik ◽  
Alok Das ◽  
Mahesh Chandra Sahu

2021 ◽  
Vol 6 (4) ◽  
pp. 01-13
Author(s):  
Archana Mavoori ◽  
Sudha Bala ◽  
Rajiv Kumar Bandaru ◽  
Aruna Kumari Yerra

Background: The current COVID-19 pandemic has imposed upon the entire community norms of social distancing and home quarantine. Follow up consultations in these times can be made through teledermatology through smart phones. Success of this technology in these hours of crisis depends upon the knowledge, attitude and behaviour of patients towards teledermatology. Follow up consultations done through teleconsultations will decrease risk of exposure to COVID-19 among psoriasis patients who need frequent follow ups. Aim: The main objective of this study is to assess the awareness, knowledge, attitude and practice of teledermatology through teledermatology among psoriasis patients at a tertiary care teaching hospital. Materials and Methods: A cross-sectional survey, from Psoriasis Clinic registry maintained in the outpatient department of DVL of a tertiary care teaching hospital in India is conducted. A pre-validated self-administered questionnaire is used for the survey to assess knowledge, attitude and practice of teledermatology. Analysis will be done as per study objectives using descriptive statistics for quantitative data and content analysis for qualitative data. Results: Out of 150 patients, 87(58%) were males and females were 63(42%). Most common age group to participate in the study was 36-45 years- 43(28.7%). Majority of participants were educated up to –graduate 53(35.3%). Males had higher knowledge and attitude scores compared to females. Most of the patients found using teleconsutations easy and convenient. Conclusion: Teledermatology is the need of the hour to be implemented in these hours of COVID-19 pandemic.


Author(s):  
Shobhitendu Kabi ◽  
Shrikant Kumar Dhar ◽  
Baikuntha Nath Panda ◽  
Chandan Das ◽  
Kamal Kant Jena ◽  
...  

Objective: There is abundant knowledge about the gravity of global load of diabetes mellitus (DM). There are conflicting reports on the cause of death from different parts of the world. In India, there are not enough studies to establish the cause of death in DM. To find out the mortality pattern in DM and non-DM (NDM) in a tertiary care teaching hospital in Eastern India.Methods: Retrospective analysis of in-hospital mortality in a tertiary care hospital in Eastern India, from January 2012 to December 2015.Results: There were a total of 1590 deaths of which 442 were having DM and 1148 did not have DM (NDM). Mean age of death for nondiabetics was 66.4 years (M:F = 67.5:65.3) and that for diabetics were 62.7 years (M:F = 63.5:60.04) which was not statistically significant (p=0.9) though diabetics died younger by 4 years. On analyzing the specific cause of death, coronary artery disease (CAD) was 14.71% in DM and 1.57% in NDM (p=0.0001). Chronic kidney disease (CKD) was 18.55% in DM and 1.92% in NDM (p=0.0001). Congestive heart failure was 7.27% in DM and 1.83% in NDM (p=0.0001). CVA was 13.57% in DM and 1.66% in NDM (p=0.0001). Infection was the most common cause of death (39.37%) in DM, but in NDM also this was quite high 34.41% (p=0.21). The death due to CVA in DM was more in hemorrhage as compared to ischemic (p=0.00001).Conclusion: We found causes of death in DM were an infection, CKD, CAD, CVA, and CHF in descending order in this part of the world. The diabetes patients had lesser hospital stay than nondiabetes patients (p=0.009).


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