Citations

Abstract Background: Chronic non-specific low back pain (CNLBP) is a common complaint about medical care and carries a heavy social burden. The efficacy of Tuina (TN) or physiotherapy (PT) for CNLBP has been evaluated in previous systematic reviews. However, there is no high-quality evidence to support the efficacy of Tuina. Therefore, this study aims to conduct a large-scale, multicenter, high-quality clinical trial to provide evidence for Tuina to treat CNLBP. Methods: This is a multicenter, assessor-, and analyst-blinded, randomized controlled trial with 3 parallel arms: TN, PT, and TN combined with PT (Tuina combined with physiotherapy) group. Six hundred twelve eligible CNLBP patients will be randomly assigned to the groups in a 1:1:1 ratio in 3 centers. The TN intervention includes 9-step routine techniques, while the PT intervention includes a physiotherapy treatment plan based on a patient's symptoms. The interventions for both groups will last for 30 minutes and will be carried out for 6 sessions in 8 weeks. The primary outcome will be the visual analog scale pain score. And the secondary outcomes will include the Oswestry Disability Index, spinal range of motion, 36-item short-form health survey. Safety evaluation will be recorded during the whole study. All data in this randomized controlled trial will be analyzed by SAS 9.4. Discussion: The results of this trial will provide evidence to evaluate the efficacy of Tuina's value as a treatment for CNLBP. Trial registration: Chinese Clinical Trial Registry (ChiCTR2000040288, November 27, 2020).

Background and Objectives: Peroxisome proliferator activated receptor-gamma agonists, such as pioglitazone (PIO) enhanced hematoma resolution and improved functional recovery in our animal model of intracerebral hemorrhage (ICH). We conducted a translational Phase II randomized, controlled clinical trial to determine the maximum tolerated dose (MTD) of PIO in patients with spontaneous ICH and to explore the rate of hematoma resolution and clinical outcome. Methods: Patients with spontaneous ICH within 24 hours of symptom onset were randomly allocated 1:1 to placebo or PIO. Patients received escalating doses of PIO daily for three days, followed by a 30mg maintenance dose for the duration of treatment. Duration of treatment was when 75% of the ICH had resolved as determined by serial MRI or 10 weeks of treatment, whichever occurred first. The primary safety outcome was mortality at Day 14. Secondary measures of safety include any mortality, symptomatic cerebral edema, congestive heart failure, edema, hypoglycemia, anemia, and hepatotoxicity. Secondary measures of efficacy include hematoma resolution and clinical outcome. The MTD was determined using the Continual Reassessment Method. Results: From March 2009 to April 2013, 84 patients (42 PIO, 42 control) were enrolled into 11 dose tiers, with a planned range from 0.1-2.0 mg/kg/d. Table 1 demonstrates preliminary baseline and clinical characteristics of patients by treatment group. Overall, 2/84 patients died within 2 weeks after ICH; however mortality rate never exceeded prespecified criteria. The study will be complete in October 2013 and the treatment team remains blinded to treatment allocation. Secondary outcomes by treatment group and the MTD of PIO will be reported. Conclusions: We have completed the treatment phase of the SHRINC Trial. Long term follow-up is on-going. These results will provide the foundation for an efficacy trial evaluating PIO as a potential treatment for patients with spontaneous ICH.

Introduction: Syncope was reported to be associated with sudden cardiac death in heart failure patients regardless of the etiology of syncope. We attempted to use unsupervised machine learning to identify the prognostically distinct phenotypes in a large population of heart failure patients presenting with syncope. Hypothesis: Unsupervised machine learning can identify prognostically distinct phenotypes in a large population of heart failure patients presenting with syncope. Methods: Patients with a diagnosis of systolic or diastolic heart failure and syncope at Mayo Clinic sites were identified for baseline and follow-up data. Variables with ≥ 20% missing data were excluded; a total of 57 variables were used for k-means clustering analysis. Patients were grouped according to 4 distinct k-means determined clusters for statistical analysis. Results: A total of 3,557 patients with proper follow-up and echocardiography data were included in the final analysis. The median follow-up duration was 36.3 months, and 2908 (81.7%) patients died. Cluster 2 (n= 680) was identified as the cluster with the highest mortality (92%), which contained patients with high proportions of cardiovascular comorbidities, especially chronic kidney disease. The Kaplan-Meier survival curves are shown in Figure 1. In multivariate Cox regression analysis, the presence of CKD independently predicts mortality (HR 1.62, 95%CI 1.50-1.76, p <0.0001) after adjusting for age and sex. Conclusions: Unsupervised machine learning identified patients with CKD, CAD and DM are high-risk phenotypes in heart failure patients with syncope, and can be used to guide future studies in this highly heterogeneous, unexplored population.

Introduction: Unsupervised machine learning (ML) can provide insight into a dataset without significant expert time for annotation and labeling, but was never used to assess the heterogeneous MitraClip population. Hypothesis: We hypothesized that unsupervised k-means ML could identify prognostically-distinct phenogroups in MitraClip patients without a priori knowledge of the dataset. Methods: Patients who underwent MitraClip (June 2014-September 2020) at Mayo Clinic sites were identified from the Mayo institutional NCDR database for baseline and follow-up data. Variables with ≥ 50% missing data were excluded. A k-means algorithm was used for clustering analysis. Input variables were grouped according to 4 distinct k-means determined clusters. Kaplan-Meier survival analysis was used to assess the survival of each cluster. Results: A total of 389 consecutive patients were included in the final analysis, and 95 unique variables were used. The mean age was 80.3±8.7 years; 256 (65.8%) were male. The mean STS MV Replace score was 9.1±5.7. Fifty-five (14.5%) patients died during the mean follow duration (185 days). Kaplan-Meier analysis showed significant survival differences among clusters (Figure 1). The cluster (cluster 2, n=120) with best survival performance (all-cause mortality 3.3%) had features of non-calcified mitral leaflets, nonischemic cardiomyopathy, and less than moderate tricuspid regurgitation. Cluster 3 (n=66) had the worst survival performance (all-cause mortality 27.3%) and opposite features than cluster 2. Conclusions: Unsupervised ML can identify distinct phenotype clusters with prognostic significance in MitraClip patients. Patients with non-calcified mitral leaflets, nonischemic cardiomyopathy, and less than moderate tricuspid regurgitation are intrinsically different from other MitraClip patients and should be considered the potential optimal candidates.

Abstract Purpose To evaluate the accuracy of the RayStation Monte Carlo dose engine (RayStation MC) in modeling small‐field block apertures in proton pencil beam scanning. Furthermore, we evaluate the suitability of MCsquare as a second check for RayStation MC. Methods We have enhanced MCsquare to model block apertures. To test the accuracy of both RayStation MC and the newly enhanced MCsquare, we compare the dose predictions of each to in‐water dose measurements obtained using diode detectors and radiochromic film. Nine brass apertures with openings of 1, 2, 3, 4, and 5 cm and either 2 cm or 4 cm thickness were used in the irradiation of a water phantom. Two measurement setups were used, one with a range shifter and 119.7 MeV proton beam energy and the other with no range shifter and 147 MeV proton beam energy. To further test the validity of RayStation MC and MCsquare in modeling block apertures and to evaluate MCsquare as a second check tool, 10 small‐field (average target volume 8.3 cm 3 ) patient treatment plans were calculated by each dose engine followed by a statistical comparison. Results Comparing to the absolute dose measurements in water, RayStation MC differed by 1.2% ± 1.0% while MCsquare differed by −1.8% ± 3.7% in the plateau region of a pristine Bragg peak. Compared to the in‐water film measurements, RayStation MC and MCsquare both performed well with an average 2D‐3D gamma passing rate of 99.4% and 99.7% (3%/3 mm), respectively. A t ‐test comparing the agreement with the film measurements between RayStation MC and MCsquare suggested that the relative spatial dose distributions calculated by MCsquare and RayStation MC were statistically indistinguishable. Directly comparing the dose calculations between MCsquare and RayStation MC over 10 patients resulted in an average 3D‐3D gamma passing rates of 98.5% (3%/3 mm) and 94.1% (2%/2 mm), respectively. Conclusion The validity of RayStation MC algorithm for use with patient‐specific apertures has been expanded to include small apertures. MCsquare has been enhanced to model apertures and was found to be an adequate second check of RayStation MC in this scenario.

Abstract Introduction: Paclitaxel induced peripheral neuropathy (TIPN) is one of the most important survivorship issues of cancer patients with the potential to substantially impact quality of life. TIPN can lead to dose reductions, early cessation, and has the potential to compromise treatment efficacy. We previously reported both rare (SBF2) and common germline (FCAMR) predictors for TIPN in patients of African descent through whole-exome sequencing (WES) and a genome-wide association study (GWAS), respectively, in the adjuvant, randomized phase III breast cancer trial, E5103. These predictors are now being evaluated in the prospective ECOG-ACRIN trial EAZ171 (NCT04001829). We have also previously reported our evaluation of common germline variants for patients of European descent through GWAS in E5103 with validation in another adjuvant breast cancer trial, E1199. Herein, we evaluated for rare variants that were associated with risk of TIPN in patients of European ancestry from WES in E5103. Methods: Gene-based rare variant analyses using SKAT were performed to compare select cases of severe TIPN (n=172) and controls without any evidence of TIPN (n=170) derived from E5103. Cases were defined as those with at least grade 3 TIPN and controls were optimally. matched by demographic and risk factors and had no reported evidence for TIPN of any grade. Germline WES was conducted using Ion Proton™ Sequencers from Life Technologies with an average &gt;100X coverage of the exome. Rare variants with a minor allele frequency &lt;3% predicted to be deleterious by protein prediction programs were retained for the analysis. 7,278 genes passed quality control and were included in the analysis, setting the threshold for significance at a p-value &lt; 6.87 ×10-6 after Bonferroni correction. Results: Cytochrome P450 oxidoreductase (POR) was significantly associated with an increased risk of grade 3+ TIPN (p =1.82 ×10-6). Six variants predicted to be deleterious in POR were identified in the study population. Paclitaxel is predominately metabolized by cytochrome P450 (CYP) 2C8 and 3A4. A functional cytochrome P450 oxidoreductase is required for the catalytic activities of all 57 CYP family members to metabolize drugs, xenobiotics, and steroid hormones. Conclusion: Rare variants in cytochrome P450 oxidoreductase predicted an increased risk of severe TIPN in patients receiving paclitaxel. These rare variants in POR may modulate the catalytic activities of P450 enzymes that are responsible for paclitaxel metabolism and have a striking biological rationale as contributors to TIPN. Work is ongoing to validate these findings mechanistically and to identify strategies to nullify the impact of these deleterious variants. Citation Format: Fei Shen, Guanglong Jiang, Laura Gardner, Gloria Xue, Santosh Philips, Reynold Ly, Osei Wilberforce, Xi Wu, Erica Cantor, Chau Dang, Donald Northfelt, Todd Skaar, Kathy D. Miller, George Sledge, Bryan P Schneider. Cytochrome P450 reductase gene, POR, associated with paclitaxel induced peripheral neuropathy in patients of European ancestry from the adjuvant breast cancer trial, ECOG-ACRIN E5103 [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P1-08-02.

Abstract Background: Diagnosis of rare diseases remains a challenge in China. We describe our experience with Birt-Hogg-Dubé syndrome (BHDS) encountered at a Rare Lung Disease Clinic recently established in China.Methods: After the first patient with BHDS was recognized in 2017, a Rare Lung Disease Clinic with a multidisciplinary team of specialists was established. We retrospectively analyzed the data of consecutive patients with BHDS encountered from inception to December 2021.Results: There were 1, 1, 15, 12 and 21 cases with BHDS diagnosed from year 2017 to 2021, respectively. All 50 patients (34 women) were of Han race with a mean age of 47.3 years. The common manifestations were pulmonary cysts (98%), pneumothorax (54%) and skin lesions (68%). Renal cancer was detected in two patients and renal angiomyolipoma in four other patients. The main presentations leading to diagnosis were pneumothorax (42%), family screening (36%) and lung cysts identified on radiologic imaging (20%). The average delay in diagnosis was 8.3 years, and 4.7 years in patients with only pulmonary cysts. The most frequent pathogenic variant was c.1285del/dup on exon 11 (23%) among 44 patients confirmed by genetic testing. Renal cancer has not been found on follow-up surveillance thus far.Conclusions: There has been increasing number of patients with BHDS recognized in China, facilitated by establishment of a Rare Lung Disease Clinic. Pulmonary cysts and pneumothorax were commonly encountered features, but skin lesions appeared to be more prevalent in Chinese subjects than previously reported in other Asian countries.

AbstractAimsThe MicraTM transcatheter pacing system (TPS) (Medtronic) is the only leadless pacemaker that promotes atrioventricular (AV) synchrony via accelerometer‐based atrial sensing. Data regarding the real‐world experience with this novel system are scarce. We sought to characterize patients undergoing MicraTM‐AV implants, describe percentage AV synchrony achieved, and analyze the causes for suboptimal AV synchrony.MethodsIn this retrospective cohort study, electronic medical records from 56 consecutive patients undergoing MicraTM‐AV implants at the Mayo Clinic sites in Minnesota, Florida, and Arizona with a minimum follow‐up of 3 months were reviewed. Demographic data, comorbidities, echocardiographic data, and clinical outcomes were compared among patients with and without atrial synchronous ventricular pacing (AsVP) ≥ 70%.ResultsSixty‐five percent of patients achieved AsVP ≥ 70%. Patients with adequate AsVP had smaller body mass indices, a lower proportion of congestive heart failure, and prior cardiac surgery. Echocardiographic parameters and procedural characteristics were similar across the two groups. Active device troubleshooting was associated with higher AsVP. The likely reasons for low AsVP were small A4‐wave amplitude, high ventricular pacing burden, and inadequate device reprogramming. Importantly, in patients with low AsVP, subjective clinical worsening was not noted during follow‐up.ConclusionWith the increasing popularity of leadless pacemakers, it is paramount for device implanting teams to be familiar with common predictors of AV synchrony and troubleshooting with MicraTM‐AV devices.

AbstractThe multicenter, phase Ib CC‐122‐DLBCL‐001 dose‐expansion study (NCT02031419) explored the cereblon E3 ligase modulator (CELMoD) agent avadomide (CC‐122) plus rituximab in patients with relapsed/refractory (R/R) diffuse large B‐cell lymphoma (DLBCL) or follicular lymphoma (FL). Patients received avadomide 3 mg/day 5 days on/2 days off plus rituximab 375 mg/m2 on day 8 of cycle 1, day 1 of cycles 2 through 6, and day 1 of every third subsequent cycle for 2 years. Primary endpoints were safety and tolerability; preliminary efficacy was a secondary endpoint. A total of 68 patients were enrolled (DLBCL [n = 27], FL [n = 41; 31 lenalidomide‐naïve, 10 lenalidomide‐treated]). Median age was 62 years (range, 33–84 years), and patients had received a median of 3 (range, 1–8) prior regimens. Among patients with DLBCL, 66.7% had primary refractory disease (partial response or less to initial therapy). Among patients with FL, 65.9% were rituximab‐refractory at study entry and 10.0% were lenalidomide‐refractory. The most common any‐grade avadomide‐related adverse events (AEs) were neutropenia (63.2%), infections/infestations (23.5%), fatigue (22.1%), and diarrhea (19.1%). The most common grade 3/4 avadomide‐related AEs were neutropenia (55.9%) infections/infestations (8.8%), and febrile neutropenia (7.4%). In patients with DLBCL, overall response rate (ORR) was 40.7% and median duration of response (mDOR) was 8.0 months. In patients with FL, ORR was 80.5% and mDOR was 27.6 months; response rates were similar in lenalidomide‐naïve and ‐treated patients. Avadomide plus rituximab was well tolerated, and preliminary antitumor activity was observed in patients with R/R DLBCL and FL, including subgroups with typically poor outcomes. These results support further investigation of novel CELMoD agents in combination with rituximab in R/R DLBCL and FL.

AbstractBackgroundImaging, cognitive and fluid data have been widely studied to identify quantitative biomarkers that can help predict the status and progression of Alzheimer’s disease (AD). However, it is still an underexplored topic whether there exist subpopulations with different genetic profiles across which the biomarker‐based prediction models may vary. We propose to use the Chow test (Chow 1960 Econometrica 28(3)) to perform genetically stratified analyses for identifying SNP‐based subpopulations coupled with precision AD biomarkers with varying effects on future diagnosis in these subpopulations. The investigation of such SNPs and precision biomarkers may eventually pave the way for increased customization of AD care.MethodParticipants included 1,324 subjects from the ADNI cohort with both AD biomarker and genotyping data available (http://www.pi4cs.org/qt‐pad‐challenge). 30 significant (P < 1.5E‐278) AD SNPs were sourced from (Jansen 2019 NatGen). Chow tests were performed to determine whether each of baseline visit measures of 16 AD biomarkers predicted AD diagnosis at the three‐year visit with varying slopes when stratifying upon the allelic dosage of each of 30 chosen SNPs. Bonferroni correction (P < 1.04E‐4) was employed to correct for multiple comparisons.ResultMultiple SNP‐biomarker pairs showed significant genetically driven deviations in the regression coefficients when predicting diagnosis in three years using baseline biomarkers (Figure 1). Top SNP hits involved rs769449 (Chr 19, APOE) and rs7561528 (Chr 2, LOC105373605), and almost all 16 studied biomarkers demonstrated differential slopes in different genotype groups to predict diagnosis in three years. To examine the details of these top findings, the regression coefficients calculated for each of the five most significant biomarkers of both SNPs were bootstrapped and plotted in Figure 2.ConclusionGenetic analysis of AD candidate SNPs in conjunction with AD biomarker data via the Chow test identified several SNPs coupled with precision AD biomarkers with varying prognosis effects in the corresponding genotype groups. These findings provide valuable information to reveal disease heterogeneity and help facilitate precision medicine.