Many studies have concluded that question generation has a positive effect on students' reading comprehension. However, few studies have delineated how students generate questions from a text and what processes are involved in question generation. This study aims to investigate how the question generation processes improve students' reading comprehension, using an online question generation system including the organisation, composition and peer assessment modules. 19 out of 106 non-English major college students were recruited as participants. They were required to complete question generation tasks in the organisation, composition and peer assessment modules. Students' scores on the pre-and post-tests, action logs in the online question generation system, and interview transcripts were collected and analysed. In a micro view, results of this study indicated that college students who showed more progress in reading comprehension demonstrated similar question generation patterns. In the organisation module, those who made more progress had a higher frequency of adding new vocabulary, sentences, and main ideas and editing their previously organised information. In the composition module, they had a higher frequency in reviewing the previously organised information from a text to generate questions and in editing the organised information. In the peer assessment module, those who showed more progress were much more active in viewing peers' questions, providing comments on peers' questions, reading and responding to peers' comments on the questions. In a macro view, the intensive engagement and the actions of editing to retrieve the organised information to compose the online questions and reviewing peers' questions online were found to be critical factors for enhancing students' reading comprehension.

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Introduction: Stand half-life (SHL) rFVIII had been used in patients with hemophilia A (PwHA) for episodic treatment (ET) and prophylaxis therapy (PT) for years. Extended half-life (EHL) rFVIII had been available since 2014, also available in Taiwan since 2018, and resulted in markedly increased willingness for PT because it reduced injection burden. We aimed to investigate the real-world bleeding outcomes, weekly factor doses, and factor costs of severe-type PwHA with pre-switch SHL rFVIII and post-switch EHL rFVIIIFc prophylaxis in Taiwan, and made a pre-switch and post-switch comparison. Methods and Materials: There were totally 51 non-inhibitor, severe-type PwHA, with complete bleeding records before and after switching from SHL rFVIII to EHL rFVIII-Fc, enrolled from two hemophilia centers during Nov, 2018－July, 2019. Most of them had various degree of one to more major joints arthropathy, except children. The medical charts were retrospective reviewed and data were collected, including body features and factor regimen, etc. Patients' annualized bleeding/joint-bleeding rate (ABR/AJBR), weekly doses (WD), annualized factor costs (AFC) were obtained from the chart records of pre-switch 12 months and post-switch at least more-than 6-month until July, 2019. Data from scheduled operation or hospitalization due to trauma or accidence were excluded. Results: There were 8 boys and 43 adults, the median age of all PwHA when switching was 35.6 years (10.5-62). Before switching, these 51 PTP treated with SHL rFVIII who received ET (ET group), irregular prophylaxis (IP group), and regular prophylaxis (RP group) were 19 (37.3%), 7 (13.7%), and 25 (49%), respectively. Bleeding records of 51 PTP treated with SHL rFVIII were traced back with 11.8±0.9 months. After switching to rFVIII-Fc, 3 PwHA receiving ET were excluded, and bleeding records of 48 received RP were obtained with 14.7±4.6 months. Pre-switch and post-switch prophylaxis rate were 62.7% (32/51) and 94.1% (48/51), respectively. For comparison of pre-switch and post-switch outcomes: Median ABR was reduced from 48, 12, and 4 to 1.15, 1.9, and 1.5 for ET, IP, and RP group, respectively. Median AJBR was reduced from 32, 11, and 4 to 0.95, 0.7, and 1.2 for ET, IP, and RP group, respectively. Median WD was increased from 38.4, 52.9, and 63.6 IU/kg/wk to 84.6, 84.5, and 84.9 IU/kg/wk for ET, IP, and RP group, respectively. Median AFC was increased from 4,141,800, 4,064,000 and 5,129,700 NTD to 7,042,325, 5,835,450, and 5,762,810 NTD for ET, IP, and RP group, respectively. Comparing pre-switch and post-switch outcomes of children and adults who received pre-switch and post-switch prophylaxis, median ABR was reduced from 3 and 5 to 1.35 and 1.85 for children and adults, respectively. Median AJBR was reduced from 3 and 4 to 1.35 and 1.15 for children and adults, respectively. Median WD was increased from 58.8 and 58.3 IU/kg/wk to 87.85 and 83.85 IU/kg/wk for children and adults, respectively. Median AFC was increased from 4,104,225 and 5,879,025 NTD to 4,419,800 and 6,024,916 NTD for children and adults, respectively. For all PwHA, zero ABR accounted for 5.9% (3/51) with pre-switch SHL rFVIII treatment and for 20.8% (10/48) with post-switch rFVIII-Fc prophylaxis. Zero AJBR accounted for 9.8% (5/51) with SHL rFVIII treatment and for 33.3% (16/48) with rFVIII-Fc prophylaxis. For PwHA with pre- and post-switch prophylaxis, zero ABR accounted for 12.5% (1/8) and 8.3% (2/24), respectively, for children and adults on SHL rFVIII prophylaxis and 25% (2/8) and 25% (6/24) respectively, for children and adults on rFVIII-Fc prophylaxis. Zero AJBR accounted for 12.5% (1/8) and 16.7% (4/24), respectively, for children and adults on SHL rFVIII prophylaxis and 25% (2/8) and 37.5% (9/24) respectively, for children and adults on rFVIII-Fc prophylaxis. Conclusion: In real-world setting, for pre-switch ET group, switch to rFVIII-Fc prophylaxis made both mean ABR and AJBR reduced >95%, and mean WD increased >50%. For pre-switch IP group, switch to rFVIII-Fc prophylaxis made both mean ABR and AJBR reduced >80%, and mean WD increased >35%. For pre-switch RP group, switch to rFVIII-Fc prophylaxis made both mean ABR and AJBR also reduced >45%, and mean WD increased >20%. The proportions in zero ABR and zero AJBR as post-switch rFVIII-Fc prophylaxis were increased. No matter in ET, IP, or RP group, after switching to RP with rFVIII-Fc, improvement for bleeding outcomes was quite evident. Disclosures No relevant conflicts of interest to declare.

Introduction: Bleeding phenotypes of severe-type patients with hemophilia A (PwHA) vary greatly, which influence factor consumption and medical cost. Factors affecting bleeding patterns of PwHA include various procoagulant and anticoagulant factors, joint condition and physical activity, etc. We aimed to investigate clinical factors influencing by-nature bleeding frequency of severe-type PwHA during episodic treatment. Methods and materials: There were 19 non-inhibitor, severe-type, previously treated PwHA aged >20 years, who had at least one to five major joints arthropathy, retrospectively enrolled from two hemophilia centers for analysis. They had been refusing prophylaxis therapy with FVIII product due to heavy burden of frequent intravenous FVIII injection and had long-term episodic treatment. Clinical informations were collected from November 2017 to November 2018, including age, body mass index (BMI), body weight, ABO blood grouping, HCV and HIV infection status, baseline VWF:Ag and VWF:activity, mutation of F8 gene. Annualized bleeding rate (ABR) and annualized joint bleeding rate (AJBR), weekly doses and annualized factor consumption costs (calculated by new Taiwan dollars, NTD) were obtained from the patients' medical records. Results: The PwHA with ABR <24 had significantly lower proportion of blood-group-O patients, higher baseline VWF:Ag and VWF:activity than those with ABR >24.(P-value <0.05) The PwHA with AJBR <13 had significantly higher BMI than those with AJBR >13.(P-value <0.05) There was no significant difference in ABR, AJBR, weekly dose, and annualized factor cost between PwHA with O blood group and non-O blood group. Compared with PwHA with baseline VWF:Ag or VWF:activity <145%, those with baseline VWF:Ag or VWF:activity >145% had significantly older age (34.9 vs 53.2 years, P-value <0.05), higher BMI (25.2 vs 29.9, P-value <0.05), lower ABR (58.2 vs 12.2 per year, P-value<0.01), lower AJBR (46.8 vs 10.8 per year, P-value<0.01), lower weekly dose (42.4 vs 10.6 IU/kg/wk, P-value<0.01), and lower annualized factor consumption costs (4,177,732 vs 1,120,704 NTD, P-value<0.01). Compared with PwHA with BMI <28, those with BMI >28 had significantly lower ABR (58.2 vs 12.2 per year, P-value<0.05), lower AJBR (46.8 vs 10.8 per year, P-value<0.05), higher baseline VWF:activity (94.6% vs 190.2%, P-value <0.05), and lower weekly dose (38.5 vs 17.1 IU/kg/wk, P-value <0.05). By backward-stepwise multivariate linear regression, baseline VWF:Ag and BMI were identified as independent and significant inverse influencing factors for ABR and AJBR, respectively.(P-value <0.05) Conclusion: For severe-type adult PwHA with episodic treatment, baseline VWF:Ag or VWF:activity >145% was associated with lower ABR, AJBR, weekly dose, and annualized factor cost. BMI >28 was associated with lower ABR, AJBR, and weekly dose consumption. Baseline VWF:Ag and BMI were revealed as inverse influencing factors for ABR and AJBR, respectively. The results of our study could be useful for clinicians to have an insight into diversity of bleeding phenotypes of by-nature severe-type PwHA. For developing countries where factor concentrate resources are not enough, these clinical influencing factors might be helpful for the management of therapeutic strategies and resource allocation for severe PwHA. Disclosures No relevant conflicts of interest to declare.

Introduction: It was well-known that severe-type patients with hemophilia A (PwHA) had great variability in bleeding phenotypes. Factors effecting bleeding patterns of PwHA include at least treatment modality and interindividual various procoagulant and anticoagulant levels. We aimed to investigate what clinical variables could predict bleeding frequency of severe PwHA and to develop models for predicting bleeding phenotypes among severe PwHA with/without FVIII prophylaxis therapy. Methods and materials: Totally 51 severe-type previously-treated PwHA from two Hemophilia Centers in Taiwan were enrolled, who received standard half life (SHL) rFVIII products with complete consecutive bleeding records at least more than 6 months, and their medical charts 2017－2018 were retrospectively viewed. The clinical data were collected for analysis, including age, body mass index (BMI), body weight (BW), ABO blood groups, hemoglobin (Hb), hematocrit (Hct), HCV infecton, HIV infection, treatment modality, baseline VWF levels, and genetic defects. Baseline VWF activity meant the data via VWF:ACL activity or VWF:RCo. Clinical variables for annualized bleeding rate (ABR) and annualized joint bleeding rate (AJBR) were evaluated by multivariate linear regression (MVLR) analysis. Results: The cohort of 51 severe-type PwHA included 8 boys and 43 adults, aged 8-64. For treatment modality, there were 19 patients receiving episodic treatment (ET) and 32 receiving prophylaxis therapy (PT) with intermediate-dose standard half life (SHL) rFVIII. The mean study period was 11.9 months, range 10－14.5 months. Among them, there were 31 with HCV infection and 4 with HIV infection. PwHA with non-O blood group were 31 and those with O blood group 20. The mean baseline VWF:Ag was 115.6±55.5%, range 50%－294.7%. The mean baseline VWF:activity was 105.4±52.1%, range 41.3%－307%. ABR of ET group and PT group were 46.1±29.2 and 6.8±7.1, respectively. (p<0.0001***) AJBR of ET group and PT group were 37.3±27.7 and 6.0±6.8, respectively. (p=0.0001***) By MVLR analysis, both treatment modality and baseline VWF:Ag were recognized as inverse predictors of ABR and AJBR, and HCV infection recognized a predictor for AJBR. Age, inhibitor histroy, BMI, BW, ABO blood groups, Hct, Hb, HIV infection, and missense mutation or not were eliminated as predictors. The predictive equations by MVLR were as the following two: (1) Predictive ABR = 56.5 - 37.8 * (Treatment model) - 11.8 * baseline VWF:Ag (IU/mL). (2) Predictive e AJBR = 41.9 - 28.6 * (Treatment model) - 12.0 * baseline VWF:Ag (IU/mL) + 10.0 * (HCV infection). (1 if Treatment model is PT, 0 if Treatment model is ET. 1 if HCV infection or anti-HCV antibody is positive, 0 if HCV infection or HCV antibody is negative.) Separate prediction models developed from MVLR analysis could explain 52.51% of the ABR variability and 50.56% of the AJBR variability. The correlation between predicted and observed bleeding frequency was significantly strong.(P-rank>0.7, p-value<0.0001***) Mean difference between predicted ABRs and observed ABRs was 1.75 and that between predicted AJBRs and observed AJBRs was 1.27. Predicted ABR deviated <21 (<2 per month) of observed ABR in 42/50 patients (84%). Predicted AJBR deviated < 24 (<2 per month) ofobserved AJBR in 44/50 patients (88%). Conclusion: Prophylaxis therapy and baseline VWF:Ag levels were the strongest two inverse predictors for ABR and AJBR. Positive HCV infection was another predictor for AJBR. The prediction models provided with an insight into personal bleeding quantified patterns and may identify PwHA with high bleeding risks based on individual characteristics of treatment modality, baseline VWF:Ag, and HCV infection. Our approach is of help for individualized treatment and refining of dosing strategies. Disclosures No relevant conflicts of interest to declare.