మా గ్రూప్ ప్రతి సంవత్సరం USA, యూరప్ & ఆసియా అంతటా 3000+ గ్లోబల్ కాన్ఫరెన్స్ ఈవెంట్లను నిర్వహిస్తుంది మరియు 1000 కంటే ఎక్కువ సైంటిఫిక్ సొసైటీల మద్దతుతో 700+ ఓపెన్ యాక్సెస్ జర్నల్లను ప్రచురిస్తుంది , ఇందులో 50000 మంది ప్రముఖ వ్యక్తులు, ప్రఖ్యాత శాస్త్రవేత్తలు ఎడిటోరియల్ బోర్డ్ సభ్యులుగా ఉన్నారు.
ఎక్కువ మంది పాఠకులు మరియు అనులేఖనాలను పొందే ఓపెన్ యాక్సెస్ జర్నల్స్
700 జర్నల్స్ మరియు 15,000,000 రీడర్లు ప్రతి జర్నల్ 25,000+ రీడర్లను పొందుతున్నారు
Anadil Faqah, Hassan Sheikh, Muhammad Abubakar, Fatima Tayyaab, Sahrish Khawaja
Purpose: Venous Thromboembolism is a common and frequent complication seen in active cancer patients. The Khorana Risk Score (KRS) is a simple model which helps to guide selection of high risk VTE cancer patients for thromboprophylaxis. However very little information is available on Khorana score validation in low middle incomecountries; hence we aimed to evaluate its performance.
Patients and methods: A retrospective single center study utilizing data of 150 cancer patients with either symptomatic deep venous thrombosis (DVT) and/or pulmonary embolism (PE) from January 1, 2012 to Dec 31, 2017.The primary efficacy outcome was to validate Khorana Risk Score in our population.
Results: Overall, 32.7% of these patients had a low Khorana Risk Score of 0 point, 48% of patients had intermediate KRS of 1 or 2 points, and only 19.3% of patients had a high KRS of 3 or more points. We also looked at additional variables i.e. mean difference in albumin (g/dL) in the three Khorana Risk Score category which was statistically significant i.e. 3.88 g/dL ± 0.52 in low risk, 3.58 g/dL ± 0.65 in intermediate risk and 3.15 g/dL ± 0.85 in high risk [p<0.001]. Similarly the mean age difference was also significantly different in intermediate and high risk. We also looked at metastasis status, chemotherapy status and creatinine clearance in these patients but found they were statistically insignificant.
Summary: Our study showed that Khorana Risk Score tool was only able to risk stratify 19.3% of cancer patients in high risk category who would have benefitted from thromboprophylaxis. We recommend the development of a modified risk prediction model best adapted to local needs.