عربی مرکز تحقیقات رادیولوژی نوین و تهاجمی | نظام تقييم تنبؤي لتطور كوفيد سريرياً

عربی مرکز تحقیقات رادیولوژی نوین و تهاجمی | نظام تقييم تنبؤي لتطور كوفيد سريرياً
TUMS Website | Feb 3 2026
logo

مركز أبحاث الأشعة التشخيصية والتداخلية المتقدمة

كوفيد-19

خلال جائحة كوفيد-19، استمر مركز أبحاث الأشعة في جامعة طهران للعلوم الطبية في أنشطته البحثية على الرغم من التحديات الكبيرة الناجمة عن الزيادة الملحوظة في عمليات مسح الأشعة المقطعية لمرضى كوفيد-19 وضرورة الامتثال للبروتوكولات الصحية.

قام الباحثون والموظفون وأعضاء هيئة التدريس في هذا المركز، مع إعطاء الأولوية لصحة وسلامة الجميع، بالعمل بجد لتحليل البيانات ونشر المقالات العلمية وتقديم تقارير التقدم والمشاركة في المؤتمرات والاجتماعات الافتراضية. كان الهدف الرئيسي من هذه الجهود هو إيجاد حلول مبتكرة لتشخيص مرض كوفيد-19 بشكل أكثر دقة وعلاجه بشكل أكثر فعالية، والمساهمة في النهاية في السيطرة على هذا الوباء العالمي.

  • : 3/01/1446 - 07:52
  • : 66
  • : 2 دقيقة

Clinical and chest CT features as a predictive tool for COVID-19 clinical progress: introducing a novel semi-quantitative scoring system

 COVID-19 clinical progress {faces}

Objective: Proposing a scoring tool to predict COVID-19 patients' outcomes based on initially assessed clinical and CT features.

Methods: All patients, who were referred to a tertiary-university hospital respiratory triage (March 27-April 26, 2020), were highly clinically suggestive for COVID-19 and had undergone a chest CT scan were included. Those with positive rRT-PCR or highly clinically suspicious patients with typical chest CT scan pulmonary manifestations were considered confirmed COVID-19 for additional analyses. Patients, based on outcome, were categorized into outpatient, ordinary-ward admitted, intensive care unit (ICU) admitted, and deceased; their demographic, clinical, and chest CT scan parameters were compared. The pulmonary chest CT scan features were scaled with a novel semi-quantitative scoring system to assess pulmonary involvement (PI).

Results: Chest CT scans of 739 patients (mean age = 49.2 ± 17.2 years old, 56.7% male) were reviewed; 491 (66.4%), 176 (23.8%), and 72 (9.7%) cases were managed outpatient, in an ordinary ward, and ICU, respectively. A total of 439 (59.6%) patients were confirmed COVID-19 cases; their most prevalent chest CT scan features were ground-glass opacity (GGO) (93.3%), pleural-based peripheral distribution (60.3%), and multi-lobar (79.7%), bilateral (76.6%), and lower lobes (RLL and/or LLL) (89.1%) involvement. Patients with lower SpO2, advanced age, RR, total PI score or PI density score, and diffuse distribution or involvement of multi-lobar, bilateral, or lower lobes were more likely to be ICU admitted/expired. After adjusting for confounders, predictive models found cutoffs of age ≥ 53, SpO2 ≤ 91, and PI score ≥ 8 (15) for ICU admission (death). A combination of all three factors showed 89.1% and 95% specificity and 81.9% and 91.4% accuracy for ICU admission and death outcomes, respectively. Solely evaluated high PI score had high sensitivity, specificity, and NPV in predicting the outcome as well.

Conclusion: We strongly recommend patients with age ≥ 53, SpO2 ≤ 91, and PI score ≥ 8 or even only high PI score to be considered as high-risk patients for further managements and care plans.

Key points: • Chest CT scan is a valuable tool in prioritizing the patients in hospital triage. • A more accurate and novel 35-scale semi-quantitative scoring system was designed to predict the COVID-19 patients' outcome. • Patients with age ≥ 53, SpO2 ≤ 91, and PI score ≥ 8 or even only high PI score should be considered high-risk patients.

  • Article_DOI : 10.1007/s00330-020-07623-w
  • writers : shahriar kolahi,faeze salahshour
  • : پژوهش,original,کوید19
  • : 280504
مدیر سایت
:

مدیر سایت