A 68-year-old man presented with a spontaneous bilateral perirenal hemorrhage following a 2-month fever of unknown origin. A renal biopsy for a pathologic diagnosis seemed very risky because of the patient's bilateral perirenal hemorrhage. Therefore, we diagnosed polyarteritis nodosa using an abdominal computed tomography scan, a renal angiogram, and American College of Rheumatology criteria. The patient's multiple symptoms then responded well to the prescribed immunosuppressive regimen. This case is an uncommon presentation of polyarteritis nodosa with fever of unknown origin before a spontaneous bilateral perirenal hemorrhage.
People with hemophilia (PWH), especially severe hemophilia, often experience bleeding episodes, which occur mostly at major joints. Intramural hematoma of the gastrointestinal (GI) tract is a rare, potentially life-threatening clinical bleeding manifestation in PWH. Prompt identification and timely administration of clotting factor concentrates are of utmost importance for effective management and optimal patient outcomes. In this report, we present the case of a 48-year-old male with severe hemophilia A. The patient developed a spontaneous intramural hematoma of the jejunum, leading to signs of acute abdomen, bloody stool, and paralytic ileus. Conservative management with factor VIII (FVIII) infusion was successfully administered. However, within a span of three months, the patient suffered from a recurrent episode of intramural hematoma, which was again effectively treated with conservative therapy. Subsequently, prophylactic FVIII therapy was administered to the patient, resulting in the absence of recurrence for over three years. Inspired by this case, we conducted a comprehensive review of the relevant literature and gathered data from 79 reported cases of intramural hematoma that were documented between the years 1956 and 2022. We classified these cases based on the site affected within the gastrointestinal (GI) tract (spread across five different locations) and proceeded to conduct a simple pooling analysis on the data collected, which subsequently revealed that the overall mortality rate of intramural hematoma in people with hemophilia (PWH) was found to be 12.2%, while children have a higher mortality rate (23.3%) than adults (4.9%). We hope this case report and literature review increase awareness of this rare bleeding manifestation in PWH, the effectiveness of conservative treatment, and the possibility of prophylaxis against recurrence.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.