| Literature DB >> 31624795 |
Ayla Cristina Nóbrega Barbosa1, Silmara Aparecida Lima Montalvão2, Kevan Guilherme Nóbrega Barbosa3, Marina Pereira Colella2, Joyce Maria Annichino-Bizzacchi1,2, Margareth Castro Ozelo1,2, Erich Vinicius De Paula1,2.
Abstract
BACKGROUND: A prolonged activated partial thromboplastin time (APTT) of unknown cause is one of the most frequent reasons why outpatients are referred for hemostasis consultation. Nevertheless, very few data are available on the relative contribution of individual causes of this common clinical scenario. Here, we present a systematic evaluation of all causes of APTT prolongation in a consecutive population of outpatients referred for specialized hemostasis consultation during a 14-year period.Entities:
Keywords: blood coagulation; clinical laboratory techniques; health care costs; hemostasis; partial thromboplastin time
Year: 2019 PMID: 31624795 PMCID: PMC6782020 DOI: 10.1002/rth2.12252
Source DB: PubMed Journal: Res Pract Thromb Haemost ISSN: 2475-0379
Figure 1Flowchart of the study population. R‐APTT, activated thromboplastin time ratio
Demographic and clinical characteristics of the study population
| Patient characteristics | n = 187 |
|---|---|
| Age, median (IQR) | 22 (8‐46) |
| Sex (male:female) | (1.27:1) |
| Reason for referral | |
| Isolated prolongation of APTT, n (%) | 123 (65.8) |
| Combined prolongation of APTT + PT, n (%) | 64 (34.2) |
| Presence of bleeding symptoms, n (%) | 97 (51.8) |
| Bleeding score | 1 (0‐5) |
| Family history of abnormal bleeding, n (%) | 16 (8.6) |
APTT, activated partial thromboplastin time; IQR, interquartile range; PT, prothrombin time.
Data available for 36 of 97 with bleeding symptoms.
Figure 2(A) Dot plot of the activated partial thromboplastin time ratio (R‐APTT) of the study population. Horizontal bar indicates the median. (B) R‐APTT values for each diagnostic category are shown. Patients with APLs had a significantly higher R‐APTT than other categories (Kruskal‐Wallis test). APLs, antiphospholipid antibodies; F, factor; VWD, von Willebrand disease
Causes of prolonged APTT in the study population and their distribution according to age and bleeding symptoms
| Cause of prolonged APTT | n (%) | Children n (%) | Adolescent/adult n (%) | Bleeding (+) | Bleeding (−) |
|---|---|---|---|---|---|
| Presence of APLs | 43 (22.6) | 9 (13.8) | 34 (27.4) | 18 (18.5) | 25 (28.4) |
| Contact factor pathway deficiencies | 32 (17.4) | 20 (30.7) | 13 (10.4) | 16 (16.4) | 17 (19.3) |
| Deficiency of factor VIII, IX, X, XI, V, or II | 26 (13.7) | 5 (7.6) | 20 (16.1) | 14 (14.4) | 10 (11.3) |
| von Willebrand disease | 8 (4.2) | 5 (7.6) | 3 (2.4) | 2 (2) | 5 (5.6) |
| Liver disease/vitamin K deficiency | 22 (11.6) | 2 (3) | 20 (16.1) | 9 (9.2) | 11 (12.5) |
| Transient abnormalities | 8 (4.2) | 2 (3) | 6 (4.8) | 3 (3) | 5 (5.6) |
| Miscellaneous | 8 (4.2) | 5 (7.6) | 3 (2.4) | 8 (8.2) | 0 (0) |
| Undefined | 42 (22.1) | 17 (26.1) | 25 (20.1) | 27 (27.8) | 15 (17) |
| Total | 189 | 65 (100) | 124 (100) | 97 (100) | 88 (100) |
APLs, antiphospholipid antibodies (defined as the presence of a lupus anticoagulant in 2 independent samples); APTT, activated partial thromboplastin time.
Transient abnormalities (refers to cases in which the APTT normalized in the course of the investigation).
Miscellanous included hypofibrinogenemia, disseminated intravascular coagulation, and supercoumarin intoxication.
Two patients had 2 different diagnoses, which results in 189 diagnoses.
Figure 3The 3 bars indicate the contribution of each cause for APTT prolongation in 3 consecutive time periods. Except for an increase in the diagnosis of antiphospholipid antibodies (APLs), and a reduction of transient abnormalities toward more recent periods of the study, the contribution of other causes seemed to be stable during the whole study period. APTT, activated partial thromboplastin time; F, factor
Figure 4(A) APTT results are compared for patients with or without bleeding symptoms. A significantly higher R‐APTT was observed in patients without bleeding symptoms (Mann‐Whitney test). (B) We demonstrate that patients for whom a definitive cause for the prolongation of the APTT could be established had a significantly higher R‐APTT (Mann‐Whitney test). APTT, activated partial thromboplastin time; R‐APTT, activated partial thromboplastin time ratio
Resources used to evaluate prolonged APTT
| Laboratory assays performed for the investigation | Total | Mean number of tests per patient (SD) |
|---|---|---|
| Hematology and hemostasis screening assays | 1868 | 9.8 (6.8) |
| Measurement of coagulation factor levels | 721 | 3.8 (3.3) |
| Additional hemostasis assays | 327 | 1.7 (2.9) |
| Inhibitor assays | 42 | 0.2 (0.6) |
| Antiphospholipid antibodies assays | 119 | 0.6 (0.9) |
| Liver function tests | 121 | 0.6 (1.9) |
| Total | 3198 | 16.8 (11.2) |
APTT, activated partial thromboplastin time; SD, standard deviation.Mean indicates the mean of the number of tests per each patient.
Hematology and hemostasis screening tests include complete blood counts, reticulocyte counts, repeated PT and APTT, thrombin time, and bleeding time.
Additional hemostasis assays include von Willebrand factor antigen assay, von Willebrand factor ristocetin cofactor assay, platelet aggregation test, fibrinogen assays, and euglobulin lysis time.
Inhibitor screening assays include mixing studies and Bethesda assays.
Antiphospholipid antibody assays: lupus anticoagulant tests; von Willebrand factor antigen, ristocetin cofactor activity.
Estimated financial impact of APTT investigation
| Tests | Costs according to health care provider category (in US$) | |
|---|---|---|
| Insurance | Private | |
| Hematology and hemostasis screening assays | 9.4 | 68.0 |
| Measurement of coagulation factor levels | 50.8 | 464.8 |
| Additional hemostasis assays | 61.7 | 181.7 |
| Inhibitor assays | 18.8 | 59.7 |
| Antiphospholipid antibody assays | 8.5 | 54.5 |
| Liver function tests | 8.2 | 58.4 |
| Total | 157.4 | 887.1 |
APTT, activated partial thromboplastin time.
Brazilian reais (R$) were converted into US dollars based on rates from September 2018. Costs were calculated by multiplying the average number of tests performed in each category by the individual value of each test.