| Literature DB >> 26670617 |
Russell E Ware1, Barry R Davis2, William H Schultz3, R Clark Brown4, Banu Aygun5, Sharada Sarnaik6, Isaac Odame7, Beng Fuh8, Alex George9, William Owen10, Lori Luchtman-Jones11, Zora R Rogers12, Lee Hilliard13, Cynthia Gauger14, Connie Piccone15, Margaret T Lee16, Janet L Kwiatkowski17, Sherron Jackson18, Scott T Miller19, Carla Roberts20, Matthew M Heeney21, Theodosia A Kalfa3, Stephen Nelson22, Hamayun Imran23, Kerri Nottage24, Ofelia Alvarez25, Melissa Rhodes26, Alexis A Thompson27, Jennifer A Rothman28, Kathleen J Helton24, Donna Roberts18, Jamie Coleman24, Melanie J Bonner28, Abdullah Kutlar29, Niren Patel29, John Wood30, Linda Piller2, Peng Wei2, Judy Luden18, Nicole A Mortier3, Susan E Stuber3, Naomi L C Luban11, Alan R Cohen17, Sara Pressel2, Robert J Adams18.
Abstract
BACKGROUND: For children with sickle cell anaemia and high transcranial doppler (TCD) flow velocities, regular blood transfusions can effectively prevent primary stroke, but must be continued indefinitely. The efficacy of hydroxycarbamide (hydroxyurea) in this setting is unknown; we performed the TWiTCH trial to compare hydroxyurea with standard transfusions.Entities:
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Year: 2015 PMID: 26670617 PMCID: PMC5724392 DOI: 10.1016/S0140-6736(15)01041-7
Source DB: PubMed Journal: Lancet ISSN: 0140-6736 Impact factor: 79.321
Figure 1TWiTCH CONSORT flow diagram showing the enrollment, randomisation, and follow-up of the TWiTCH study participants.
Enrolment Characteristics of the Intention-to-Treat Population
Selected demographic, clinical, and laboratory characteristics of the intention-to-treat population at study enrolment. Measures of central tendency are listed as mean ± SD; treatment group differences were assessed via t-test. Categorical values are summarised as Count (%); treatment group differences were assessed via Chi-squared tests, except Fisher’s exact test used for sickle cell genotype.
| Characteristic | Standard (N=61) | Alternative (N=60) | p value |
|---|---|---|---|
| HbSS genotype (%) | 59 (96.7) | 60 (100.0) | .496 |
| Male (%) | 19 (31.1) | 29 (48.3) | .053 |
| Age at study enrolment (years) | 9.5 ± 2.6 | 9.7 ± 3.2 | .782 |
| Age at index abnormal TCD (years) | 5.7 ± 2.0 | 5.0 ± 1.8 | .051 |
| Average index TCD value (cm/sec) | 226 ± 25 | 220 ± 17 | .156 |
| Average entry TCD value (cm/sec) | 145 ± 21 | 145 ± 26 | 1.000 |
| Silent cerebral infarction (%) | 25 (41.0) | 22 (36.7) | .764 |
| Mild-moderate vasculopathy (%) | 6 (9.8) | 4 (6.7) | .762 |
| Duration (years) | 3.8 ± 1.8 | 4.5 ± 2.8 | .072 |
| Simple transfusions (%) | 36 (59.0) | 39 (65.0) | .806 |
| RBC alloantibodies (%) | 9 (14.8) | 11 (18.3) | .632 |
| RBC autoantibodies (%) | 12 (19.7) | 10 (16.7) | .814 |
| Liver Iron (mg Fe/gm dry wt liver) | 8.4 ± 7.6 | 11.3 ± 9.5 | .072 |
| Serum ferritin (ng/mL) | 2713 ± 2206 | 3080 ± 2347 | .254 |
| Current chelation usage (%) | 51 (83.6) | 48 (80.0) | .607 |
| Haemoglobin (gm/dL) | 9.3 ± 0.8 | 9.2 ± 0.8 | .363 |
| MCV (fL) | 86 ± 4 | 86 ± 4 | .397 |
| HbA (%) | 67.8 ± 11.4 | 67.4 ± 10.4 | .837 |
| HbS (%) | 26.5 ± 10.3 | 27.6 ± 9.9 | .528 |
| HbF (%) | 10.3 ± 6.5 | 8.8 ± 5.5 | .763 |
| ARC (x 109/L) | 319 ± 124 | 358 ± 144 | .113 |
| WBC (x 109/L) | 12.2 ± 4.4 | 13.9 ± 3.5 | .024 |
| ANC (x 109/L) | 6.9 ± 2.7 | 8.0 ± 2.8 | .035 |
| ALT (U/L) | 49 ± 53 | 47 ± 27 | .412 |
| Creatinine (mg/dL) | 0.4 ± 0.2 | 0.4 ± 0.2 | .562 |
| Total bilirubin (mg/dL) | 2.4 ± 1.1 | 2.9 ± 1.8 | .039 |
Hb = hemoglobin, ARC = absolute reticulocyte count, WBC=white blood cells, ANC = absolute neutrophil count, ALT = alanine transferase. Mild-moderate vasculopathy was Grade 1–3 as described. [13]
Due to the large amount of HbA present, the HbF was calculated as (HbF)/(HbF + HbS) as described. [14]
Figure 2Laboratory parameters based on intention-to-treat population: Panel A = hemoglobin concentration; Panel B = mean corpuscular volume; Panel C = %HbS; Panel D = %HbF; Panel E = white blood cell (WBC) count; Panel F = absolute neutrophil count (ANC); Panel G = absolute reticulocyte count (ARC); Panel H = serum ferritin. Complete blood counts and reticulocytes were measured locally, while hemoglobin electrophoresis and ferritin were analysed centrally. Data are illustrated as mean ± 1 standard deviation. The Standard Treatment Arm is portrayed in dashes while the Alternative Treatment Arm is shown by the solid line. All parameters are significantly different at exit (p<0.0001) between treatment groups except Panel A, with p=0.800.
Laboratory Evaluations of the Intention-To-Treat Population at Final Assessment
Laboratory evaluations of the Intention-To-Treat population upon final assessment, after completing study treatment (N=83), after truncated treatment (N=24), or upon early termination for other reasons (N=14). Mean (SD) results are provided. Treatment group differences for laboratory parameters were assessed via t-test.
| Parameter | Final Assessment | Change from Baseline | ||||
|---|---|---|---|---|---|---|
| Standard (N=61) | Alternative (N=60) | P-value | Standard (N=61) | Alternative (N=60) | P-value | |
| Haemoglobin (g/dL) | 9.2 (0.7) | 9.1 (1.1) | 0.800 | −0.1 (1.0) | −0.2 (1.2) | 0.828 |
| MCV (fL) | 86 (3) | 107 (10) | <0.0001 | 0 (4) | 21 (10) | <0.0001 |
| HbF (%) | 10.3 (7.3) | 24.3 (7.9) | <0.0001 | −0.1 (5.0) | 15.5 (7.1) | <0.0001 |
| HbS (%) | 27.6 (10.1) | 70.7 (9.6) | <0.0001 | 1.2 (10.7) | 43.0 (15.5) | <0.0001 |
| ARC (x 109/L) | 329 (112) | 181 (86) | <0.0001 | 9 (158) | −169 (157) | <0.0001 |
| WBC (x 109/L) | 11.8 (4.0) | 7.2 (2.2) | <0.0001 | −0.4 (2.9) | −6.6 (3.9) | <0.0001 |
| ANC (x 109/L) | 6.9 (2.6) | 3.6 (1.6) | <0.0001 | 0.0 (2.6) | −4.4 (3.2) | <0.0001 |
| Platelets (x 109/L) | 378 (112) | 333 (133) | 0.050 | −3 (86) | −73 (135) | 0.001 |
| Total bilirubin (mg/dL) | 2.7 (1.4) | 1.6 (1.3) | <0.0001 | 0.3 (0.9) | −1.3 (1.3) | <0.0001 |
| LIC (mg Fe/gm dw) | 11.3 (10.1) | 9.5 (8.7) | .0323 | 2.4 (8.7) | −1.9 (4.2) | 0.0011 |
| Ferritin (ng/mL) | 2674 (1717) | 1276 (1228) | <0.0001 | −38 (2095) | −1805 (1651) | <0.0001 |
| LDH (U/L) | 547 (191) | 475 (196) | 0.044 | −6 (215) | −140 (231) | 0.001 |
p-value based on final assessment;
p-value based on change from baseline to final assessment;
Values for LIC represent 52 subjects in the Standard Treatment Arm and 58 on the Alternative Treatment Arm.
Figure 3Primary study endpoint analysis of TCD velocities. The Standard (Transfusion) Arm data are portrayed as dashes while the Alternative (Hydroxyurea) Arm data are shown as a solid line. Panel A illustrates the TCD data using the mixed model statistical analysis, with baseline equivalence but divergence over time with lower velocities in the Alternative Arm. The curves are significantly different using the per-protocol non-inferiority comparison (p=8.82 × 10−16) and also by post-hoc analysis for superiority (p=0.023). Panel B illustrates the actual TCD velocity data in each arm as mean ± 1 standard deviation, including the number of participants evaluated at each 12-week time point. Panel C illustrates baseline (enrolment) and final (exit) maximum time-averaged mean TCD velocities for each participant. The lines at 170 and 200 cm/sec denote the normal and abnormal TCD boundaries, respectively. Open circles = Alternative Arm, Closed circles = Standard Arm.