scholarly journals Comparison of various clinical prediction scores and D-dimer in ruling out pulmonary embolism: Results from a single centre prospective observational study

2018 ◽  
Vol 70 ◽  
pp. S99-S100
Author(s):  
Shivani Rao ◽  
Kunal Mahajan
BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e045826
Author(s):  
Arjun Chandna ◽  
Endashaw M Aderie ◽  
Riris Ahmad ◽  
Eggi Arguni ◽  
Elizabeth A Ashley ◽  
...  

IntroductionIn rural and difficult-to-access settings, early and accurate recognition of febrile children at risk of progressing to serious illness could contribute to improved patient outcomes and better resource allocation. This study aims to develop a prognostic clinical prediction tool to assist community healthcare providers identify febrile children who might benefit from referral or admission for facility-based medical care.Methods and analysisThis prospective observational study will recruit at least 4900 paediatric inpatients and outpatients under the age of 5 years presenting with an acute febrile illness to seven hospitals in six countries across Asia. A venous blood sample and nasopharyngeal swab is collected from each participant and detailed clinical data recorded at presentation, and each day for the first 48 hours of admission for inpatients. Multianalyte assays are performed at reference laboratories to measure a panel of host biomarkers, as well as targeted aetiological investigations for common bacterial and viral pathogens. Clinical outcome is ascertained on day 2 and day 28.Presenting syndromes, clinical outcomes and aetiology of acute febrile illness will be described and compared across sites. Following the latest guidance in prediction model building, a prognostic clinical prediction model, combining simple clinical features and measurements of host biomarkers, will be derived and geographically externally validated. The performance of the model will be evaluated in specific presenting clinical syndromes and fever aetiologies.Ethics and disseminationThe study has received approval from all relevant international, national and institutional ethics committees. Written informed consent is provided by the caretaker of all participants. Results will be shared with local and national stakeholders, and disseminated via peer-reviewed open-access journals and scientific meetings.Trial registration numberNCT04285021.


Gerontology ◽  
2021 ◽  
pp. 1-8
Author(s):  
Yang Shen ◽  
Xianchen Li ◽  
Junyan Yao

Perioperative neurocognitive disorders (PNDs) refer to cognitive decline identified in the preoperative or postoperative period. It has been reported that the incidence of postoperative neurocognitive impairment after noncardiac surgery in patients older than 65 at 1 week was 25.8∼41.4%, and at 3 months 9.9∼12.7%. PNDs will last months or even develop to permanent dementia, leading to prolonged hospital stays, reduced quality of life, and increased mortality within 1 year. Despite the high incidence and poor prognosis of PNDs in the aged population, no effective clinical prediction model has been established to predict postoperative cognitive decline preoperatively. To develop a clinical prediction model for postoperative neurocognitive dysfunction, a prospective observational study (Clinical trial registration number: ChiCTR2000036304) will be performed in the Shanghai General Hospital during January 2021 to October 2022. A sample size of 675 patients aged &#x3e;65 years old, male or female, and scheduled for elective major noncardiac surgery will be recruited. A battery of neuropsychological tests will be used to test the cognitive function of patients at 1 week, 1 month, and 3 months postoperatively. We will evaluate the associations of PNDs with a bunch of candidate predictors including general characteristics of patients, blood biomarkers, indices associated with anesthesia and surgery, retinal nerve-fiber layer thickness, and frailty index to develop the clinical prediction model by using multiple logistic regression analysis and least absolute shrinkage and the selection operator (LASSO) method. The <i>k</i>-fold cross-validation method will be utilized to validate the clinical prediction model. In conclusion, this study was aimed to develop a clinical prediction model for postoperative cognitive dysfunction of old patients. It is anticipated that the knowledge gained from this study will facilitate clinical decision-making for anesthetists and surgeons managing the aged patients undergoing noncardiac surgery.


2019 ◽  
Vol 20 (3) ◽  
pp. 281-285
Author(s):  
Dragan Panic ◽  
Andreja Todorovic ◽  
Milica Stanojevic ◽  
Violeta Iric Cupic

Abstract Current diagnostic workup of patients with suspected acute pulmonary embolism (PE) usually starts with the assessment of clinical pretest probability, using clinical prediction rules and plasma D-dimer measurement. Although an accurate diagnosis of acute pulmonary embolism (PE) in patients is thus of crucial importance, the diagnostic management of suspected PE is still challenging. A 60-year-old man with chest pain and expectoration of blood was admitted to the Department of Cardiology, General Hospital in Cuprija, Serbia. After physical examination and laboratory analyses, the diagnosis of Right side pleuropne monia and acute pulmonary embolism was established. Clinically, patient was hemodynamically stable, auscultative slightly weaker respiratory sound right basal, without pretibial edema. Laboratory: C-reactive protein (CRP) 132.9 mg/L, Leukocytes (Le) 18.9x109/L, Erythrocytes (Er) 3.23x1012/L, Haemoglobin (Hgb) 113 g/L, Platelets (Plt) 79x109/L, D-dimer 35.2. On the third day after admission, D-dimer was increased and platelet count was decreased (Plt up to 62x109/L). According to Wells’ rules, score was 2.5 (without symptoms on admission), a normal clinical finding with clinical manifestation of hemoptysis and chest pain, which represents the intermediate level of clinical probability of PE. After the recidive of PE, Wells’ score was 6.5. In summary, this study suggests that Wells’ score, based on a patient’s risk for pulmonary embolism, is a valuable guidance for decision-making in combination with knowledge and experience of clinicians. Clinicians should use validated clinical prediction rules to estimate pretest probability in patients in whom acute PE is being consiered.


2017 ◽  
Vol 32 (2) ◽  
pp. 148-153
Author(s):  
Asifa Karamat ◽  
Shazia Awan ◽  
Muhammad Ghazanfar Hussain ◽  
Fahad Al Hameed ◽  
Faheem Butt ◽  
...  

2021 ◽  
Vol 53 ◽  
pp. S197
Author(s):  
M.V. Lenti ◽  
F. De Grazia ◽  
M. Bardone ◽  
F. Borrelli De Andreis ◽  
S. Maimaris ◽  
...  

CJEM ◽  
2018 ◽  
Vol 20 (S1) ◽  
pp. S107-S107
Author(s):  
A. Sinclair ◽  
K. Peprah ◽  
T. Quay ◽  
S. Mulla ◽  
L. Weeks

Introduction: Pulmonary embolism (PE) is a diagnostic challenge, since it shares symptoms with other conditions. Missed diagnosis puts patients at a risk of a potentially fatal outcome, while false positive results leave them at risk of side effects (bleeding) from unnecessary treatment. Diagnosis involves a multi-step pathway consisting of clinical prediction rules (CPRs), laboratory testing, and diagnostic imaging, but the best strategy in the Canadian context is unclear. Methods: We carried out a systematic review of the diagnostic accuracy, clinical utility, and safety of diagnostic pathways, CPRs, and diagnostic imaging for the diagnosis of PE. Clinical prediction rules were studied by an overview of systematic reviews, and pathways and diagnostic imaging by a primary systematic review. Where feasible, a diagnostic test meta-analysis was conducted, with statistical adjustment for the use of variable and imperfect reference standards across studies. Results: The Wells CPR rule showed greater specificity than the Geneva, but the relative sensitivities were undetermined. Application of a CPR followed by with D-dimer laboratory testing can safely rule out PE. In diagnostic test accuracy meta-analysis, computed tomography (CT) (sensitivity 0.973, 95% CrI 0.921 to 1.00) and ventilation/perfusion single-photon emission CT (VQ-SPECT) (sensitivity 0.974, 95% CrI 0.898 to 1.00) had the highest sensitivity) and CT the highest specificity (0.987, 95% CrI 0.958 to 1.00). VQ and VQ-SPECT had a higher proportion of indeterminate studies, while VQ and VQ-SPECT involved lower radiation exposure than CT. Conclusion: CPR and D-dimer testing can be used to avoid unnecessary imaging. CT is the most accurate single modality, but radiation risk must be assessed. These findings, in conjunction with a recent health technology assessment, may help to inform clinical practice and guidelines.


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