Citations

Showing 10 of 108036 citations.

Preoperative lateral lymph node features and impact on local recurrence after neoadjuvant chemoradiotherapy and total mesorectal excision for locally advanced rectal cancer: results from a multicentre international cohort study
Achilli, Pietro , Ferrari, Davide , Calini, Giacomo , Bertoglio, Camillo Leonardo , Magistro, Carmelo , Origi, Matteo , Carnevali, Pietro , Alampi, Bruno , Giusti, Irene , Calafiore, Eleonora , Spinelli, Antonino , Deslarzes, Philip , Bertoglio, Camillo L , Alampi, Bruno D , Ferrari, Giovanni , Calafiore, Eleonora , Spinelli, Antonino , Grass, F , Deslarzes, Philip , Hahnloser, Dieter , Solafah, A , Larson, David W , Achilli, P , Calini, G , Origi, Matteo , Grass, Fabian , Hahnloser, Dieter , Larson, David W.

Mayo Clinic

Colorectal Disease | January 20, 2024 | Volume: 26 | Issue: 3 | Pages: 466-475

10.1111/codi.16875 | PMID 38243617 Get It

AbstractAimLocally advanced rectal cancer (LARC) is commonly treated with neoadjuvant chemoradiotherapy (nCRT) and total mesorectal excision (TME) to reduce local recurrence (LR) and improve survival. However, LR, particularly associated with lateral lymph node (LLN) involvement, remains a concern. The aim of this study was to investigate preoperative factors associated with LLN involvement and their impact on LR rates in LARC patients undergoing nCRT and curative surgery.MethodThis multicentre retrospective study, including four academic high‐volume institutions, involved 301 consecutive adult LARC patients treated with nCRT and curative surgery between January 2014 and December 2019 who did not undergo lateral lymph node dissection (LLND). Baseline and restaging pelvic MRIs were evaluated for suspicious LLNs based on institutional criteria. Patients were divided into two groups: cLLN+ (positive nodes) and cLLN– (no suspicious nodes). Primary outcome measures were LR and lateral local recurrence (LLR) rates at 3 years.ResultsAmong the cohort, 15.9% had suspicious LLNs on baseline MRI, and 9.3% had abnormal LLNs on restaging MRI. At 3 years, LR and LLR rates were 4.0% and 1.0%, respectively. Ten out of 12 (83.3%) patients with LR showed no suspicious LLNs at the baseline MRI. Abnormal LLNs on MRI were not independent risk factors for LR, distant recurrence or disease‐free survival.ConclusionAbnormal LLNs on baseline and restaging MRI assessment did not impact LR and LLR rates in this cohort of patients with LARC submitted to nCRT and curative TME surgery.
Review of epilepsy care in the Democratic Republic of the Congo
Tshimbombu, Tshibambe Nathanael , Kabwa, Luabeya Mesu’a, Blackmon, Karen , Kashama, Jean Marie, Jobst, Barbara C. , Fontaine, Dominique , Olarinde, Immanuel, E‐Andjafono, Daniel Okitundu‐Luwa, Tshimbombu, Tshibambe N , Jobst, Barbara , Shin, Minkyung, Thesen, Thomas , Olarinde, Immanuel O. , E‐Andjafono, Daniel Okitundu Luwa

Mayo Clinic

Epilepsia Open | January 20, 2024 | Volume: 9 | Issue: 2 | Pages: 467-474

10.1002/epi4.12904 | PMID 38243880 Get It

AbstractEpilepsy imposes a substantial burden on the Democratic Republic of Congo (DRC). These challenges encompass the lack of comprehensive disease surveillance, an unresolved understanding of its pathophysiology, economic barriers limiting access to essential care, the absence of epilepsy surgical capabilities, and deeply ingrained societal stigmas. Notably, the national prevalence of epilepsy remains undetermined, with research primarily concentrating on infectious factors like Onchocerca volvulus, leaving other potential causes underexplored. Most patients lack insurance, incurring out‐of‐pocket expenses that often lead them to opt for traditional medicine rather than clinical care. Social stigma, perpetuated by common misconceptions, intensifies the social isolation experienced by individuals living with epilepsy. Additionally, surgical interventions are unavailable, and the accessibility of anti‐seizure medications and healthcare infrastructure remains inadequate. Effectively tackling these interrelated challenges requires a multifaceted approach, including conducting research into region‐specific factors contributing to epilepsy, increasing healthcare funding, subsidizing the costs of treatment, deploying mobile tools for extensive screening, launching awareness campaigns to dispel myths and reduce stigma, and promoting collaborations between traditional healers and medical practitioners to enhance local understanding and epilepsy management. Despite the difficulties, significant progress can be achieved through sustained and compassionate efforts to understand and eliminate the barriers faced by epilepsy patients in the region. This review outlines essential steps for alleviating the epilepsy burden in the DRC.Plain Language summaryThere are not enough resources to treat epilepsy in the DRC. PWEs struggle with stigma and the lack of money. Many of them still use traditional medicine for treatment and hold wrong beliefs about epilepsy. That is why there is a need for more resources to make the lives of PWEs better in the DRC.
Development and evaluation of best practice advisory alert for patient eligibility in a hospital‐at‐home program: A multicenter retrospective study
Maniaci, Michael J. , Maita, Karla C. , Rutledge, Rachel, Dugani, Sagar B. , Campbell, Shannon M., Pritchard, Ingrid , Torres-Guzman, Ricardo A, Maita, Karla , Dugani, Sagar B , Pritchard, Ingrid J, Maniaci, Michael J , Torres‐Guzman, Ricardo A. , Ávila, Francisco R. , Garcia, John P. , Forte, Antonio J. , Campbell, Shannon M., Paulson, Margaret R.

Mayo Clinic

Journal of Hospital Medicine | January 20, 2024 | Volume: 19 | Issue: 3 | Pages: 165-174

10.1002/jhm.13275 | PMID 38243666 Get It

AbstractBackgroundHospital‐at‐home (HaH) is a growing model of care that has been shown to improve patient outcomes, satisfaction, and cost‐effectiveness. However, selecting appropriate patients for HaH is challenging, often requiring burdensome manual screening by clinicians. To facilitate HaH enrollment, electronic health record (EHR) tools such as best practice advisories (BPAs) can be used to alert providers of potential HaH candidates.ObjectiveTo describe the development and implementation of a BPA for identifying HaH eligible patients in Mayo Clinic's Advanced Care at Home (ACH) program, and to evaluate the provider response and the patient characteristics that triggered the BPA.Design, Setting, and ParticipantsWe conducted a retrospective multicenter study of hospitalized patients who triggered the BPA notification for ACH eligibility between March and December 2021 at Mayo Clinic in Jacksonville, FL and Mayo Clinic Health System in Eau Claire, WI. We extracted demographic and diagnosis data from the patients as well as characteristics of the providers who received the BPA notification.InterventionThe BPA was developed based on the ACH inclusion and exclusion criteria, which were derived from clinical guidelines, literature review, and expert consensus. The BPA was integrated into the EHR and displayed a pop‐up message to the provider when a patient met the criteria for ACH eligibility. The provider could choose to refer the patient to ACH, dismiss the notification, or defer the decision.Main Outcomes and MeasuresThe main outcomes were the number and proportion of BPA notifications that resulted in a referral to ACH, and the number and proportion of referrals that were accepted by the ACH clinical team and transferred to ACH. We also analyzed the factors associated with the provider's decision to refer or not refer the patient to ACH, such as the provider's role, location, and specialty.ResultsDuring the study period, 8962 notifications were triggered for 2847 patients. Providers opted to refer 711 (11.4%) of the total notifications linked to 324 unique patients. After review by the ACH clinical team, 31 of the 324 referrals (9.6%) met clinical and social criteria and were transferred to ACH. In multivariable analysis, Wisconsin nurses, physician assistants, and in‐training personnel had lower odds of referring the patients to ACH when compared to attending physicians.
Longitudinal genetically detectable minimal residual disease by fluorescence in situ hybridization confers a poor prognosis in myeloma
Cui, Jian , Yu, Tengteng , Lv, Rui , Liu, Jiahui , Fan, Huishou , Xu, Jingyu , Du, Chenxing , Sui, Weiwei, Xu, Yan , Qiu, Lugui , An, Gang , Ho, Matthew , Cui, Jian , Yan, Wenqiang , Deng, Shuhui , Ho, Matthew , Anderson, Kenneth C. , Dong, Xifeng , Qiu, Lugui

Mayo Clinic

Therapeutic Advances in Medical Oncology | January 20, 2024 | Volume: 16 | Issue: No issue available | Pages: No page available

10.1177/17588359231221340 | PMID 38249329 Get It

Background: Deeper depth of response (DpR) after induction therapy, especially gain of negative minimal residual disease (MRD), has been linked to prolonged survival in multiple myeloma (MM). However, flow-MRD examination focuses on the numbers but not on the biological characteristics of residual plasma cells (PCs). Objectives: To explore whether the genetic features of residual tumor cells affect the survival time of patients with MM. Design: A retrospective cohort study. Methods: We investigated the clonality of cytogenetic abnormalities (CAs) of the residual PCs using interphase fluorescence in situ hybridization (iFISH) in the National Longitudinal Cohort of Hematological Diseases in China (NCT04645199). Here, a longitudinal cohort of 269 patients with patient-paired diagnostic and post-induction iFISH results was analyzed. Results: Persistent CAs after induction therapy were detected in about half of the patients (118/269, 43%), and patients with undetectable CAs showed significantly improved survival compared with those with genetically detectable MRD [median progression-free survival (mPFS): 59.7 versus 35.7 months, p < 0.001; median overall survival (mOS): 97.1 versus 68.8 months, p = 0.011]. In addition, different patterns of therapy-induced clonal evolution were observed by comparing the clonal structure of residual PCs with paired baseline samples. Patients who maintained at a high risk during follow-up had the worst survival (mPFS: 30.5 months; mOS: 54.4 months), while those who returned to lower risk or had iFISH− at both time points had the best survival (mPFS: 62.0 months, mOS: not reached). Conclusion: These findings highlighted the prognostic value of genetic testing in residual tumor cells, which may provide a deep understanding of clonal evolution and guide clinical therapeutic strategies.
Does the number of social factors affect long-term patient-reported outcomes and satisfaction in those with cervical myelopathy? A QOD study
Park, Christine , Shaffrey, Christopher I. , Than, Khoi D. , Bisson, Erica F. , Sherrod, Brandon A. , Asher, Anthony L. , Coric, Domagoj , Potts, Eric A. , Foley, Kevin T. , Wang, Michael Y. , Fu, Kai-Ming, Virk, Michael S. , Knightly, John J. , Meyer, Scott A., Upadhyaya, Cheerag D., Shaffrey, Mark E., Buchholz, Avery L., Tumialán, Luis M. , Turner, Jay D. , Chan, Andrew K. , Chou, Dean , Chaudhry, Nauman S. , Haid, Regis W., Mummaneni, Praveen V. , Michalopoulos, Giorgos D. , Bydon, Mohamad , Gottfried, Oren N., Michalopoulos, Georgios D, Michalopoulos, Giorgos , Park, Paul , Agarwal, Nitin

Mayo Clinic

Journal of Neurosurgery: Spine | January 20, 2024 | Volume: 40 | Issue: 4 | Pages: 428-438

10.3171/2023.11.spine23127 | PMID 38241683 Get It

OBJECTIVE It is not clear whether there is an additive effect of social factors in keeping patients with cervical spondylotic myelopathy (CSM) from achieving both a minimum clinically important difference (MCID) in outcomes and satisfaction after surgery. The aim of this study was to explore the effect of multiple social factors on postoperative outcomes and satisfaction. METHODS This was a multiinstitutional, retrospective study of the prospective Quality Outcomes Database (QOD) CSM cohort, which included patients aged 18 years or older who were diagnosed with primary CSM and underwent operative management. Social factors included race (White vs non-White), education (high school or below vs above), employment (employed vs not), and insurance (private vs nonprivate). Patients were considered to have improved from surgery if the following criteria were met: 1) they reported a score of 1 or 2 on the North American Spine Society index, and 2) they met the MCID in patient-reported outcomes (i.e., visual analog scale [VAS] neck and arm pain, Neck Disability Index [NDI], and EuroQol-5D [EQ-5D]). RESULTS Of the 1141 patients included in the study, 205 (18.0%) had 0, 347 (30.4%) had 1, 334 (29.3%) had 2, and 255 (22.3%) had 3 social factors. The 24-month follow-up rate was > 80% for all patient-reported outcomes. After adjusting for all relevant covariates (p < 0.02), patients with 1 or more social factors were less likely to improve from surgery in all measured outcomes including VAS neck pain (OR 0.90, 95% CI 0.83–0.99) and arm pain (OR 0.88, 95% CI 0.80–0.96); NDI (OR 0.90, 95% CI 0.83–0.98); and EQ-5D (OR 0.90, 95% CI 0.83–0.97) (all p < 0.05) compared to those without any social factors. Patients with 2 social factors (outcomes: neck pain OR 0.86, arm pain OR 0.81, NDI OR 0.84, EQ-5D OR 0.81; all p < 0.05) or 3 social factors (outcomes: neck pain OR 0.84, arm pain OR 0.84, NDI OR 0.84, EQ-5D OR 0.84; all p < 0.05) were more likely to fare worse in all outcomes compared to those with only 1 social factor. CONCLUSIONS Compared to those without any social factors, patients who had at least 1 social factor were less likely to achieve MCID and feel satisfied after surgery. The effect of social factors is additive in that patients with a higher number of factors are less likely to improve compared to those with only 1 social factor.
The symbolic two-step method applied to cancer care delivery research: Safeguarding against designing an underpowered cluster randomized trial with a continuous outcome by accounting for the imprecision in the within- and between-center variation
Zahrieh, David M. , Kandler, Blaize W, Le‐Rademacher, Jennifer , Zahrieh, David , Le-Rademacher, Jennifer G

Mayo Clinic

Clinical Trials | January 20, 2024 | Volume: 21 | Issue: 4 | Pages: 430-439

10.1177/17407745231219680 | PMID 38243404 Get It

Background: Knowing the predictive factors of the variation in a center-level continuous outcome of interest is valuable in the design and analysis of parallel-arm cluster randomized trials. The symbolic two-step method for sample size planning that we present incorporates this knowledge while simultaneously accounting for patient-level characteristics. Our approach is illustrated through application to cluster randomized trials in cancer care delivery research. The required number of centers (clusters) depends on the between- and within-center variance; the within-center variance is a function of estimates obtained by regressing the log within-center variance on predictive factors. Obtaining accurate estimates of the components needed to characterize the within-center variation is challenging. Methods: Using our previously derived sample size formula, our objective in the current research is to directly account for the imprecision in these estimates, using a Bayesian approach, to safeguard against designing an underpowered study when using the symbolic two-step method. Using estimates of the required components, including the number of centers that contribute to those estimates, we make formal allowance for the imprecision in these estimates on which a sample size will be based. Results: The mean of the distribution for power is consistently smaller than the single point estimate that the sample size formula yields. The reduction in power is more pronounced in the presence of increased uncertainty about the estimates with the reduction becoming more attenuated with increased numbers of centers that contribute to the estimates. Conclusions: Accounting for imprecision in the estimates of the components required for sample size estimation using the symbolic two-step method in the design of a cluster randomized trial yields conservative estimates of power.
Metastatic non-small cell lung cancer (NSCLC) and brain edema: a topographical and clinicopathological investigation utilizing deep learning-based artificial intelligence (DLBAI)
Yun, Jonathan , Kurker, Kristina P. , Kumar, Jeyan S. , Sutherland, Grant , Farzad, Faraz, Sukumar, Rohit , Yener, Ulaş, Patel, Sohil H. , Schiff, David , Lopes, Beatriz, Mut, Melike , Maragkos, Georgios Α. , Feng, Xue

Mayo Clinic

No container title available | January 19, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-3851661/v1 Get It

Abstract Tumor-associated vasogenic brain edema is a well-known contributor of morbidity and mortality in patients with metastatic disease to the brain. It is widely accepted that brain metastases (BM) is associated with extensive edema and can cause increased symptomatology such as pain, neurologic deficit, and elevated intracranial pressure depending on extent and location. We present a proof-of-concept retrospective analysis utilizing DLBAI to segment and detect radiological and topographical patterns of peritumoral edema and assess for clinicopathological correlates in 84 patients with NSCLC and BM who underwent surgical resection and were not previously on steroids. We found that overall, tumors in all locations demonstrated a mean 10:1 edema to tumor ratio (ETR) and an occipital tumor location was associated with a significantly elevated ETR. Within our cohort there were no other factors that were significantly associated with ETR. This study demonstrates a proof-of-concept that DLBAI is an efficient and accurate method of radiographic analysis that can be applied to detect and potentially predict clinicopathological data and prognostic determinants. Clinically, we demonstrate that NSCLC is associated with significant peritumoral edema and that topographical factors may be associated with increased extent of edema.
Predicting long-term outcomes after microvascular decompression for hemifacial spasm according to lateral spread response and immediate postoperative outcomes: a cohort study
Helal, Ahmed , Graffeo, Christopher S. , Meyer, Frederic B., Pollock, Bruce E. , Link, Michael J.

Mayo Clinic

Journal of Neurosurgery | January 19, 2024 | Volume: 140 | Issue: 6 | Pages: 1664-1671

10.3171/2023.11.jns231299 | PMID 38241672 Get It

OBJECTIVE Microvascular decompression (MVD) is a well-established and highly effective treatment option for hemifacial spasm (HFS). Lateral spread response (LSR) has been used as an intraoperative indicator of HFS resolution, with controversial reliability. The purpose of this study was to determine long-term outcomes of MVD for HFS and the role of LSR and other preoperative predictors. METHODS The authors conducted a cohort study of all patients treated with MVD for HFS at a single institution from January 1, 1998, to December 31, 2019. In addition to a retrospective chart review, all patients were contacted at the time of the study to provide informed consent and responded to a telephone survey to ascertain their current disease and medication status. Patients with at least 12 months of postoperative follow-up were included. Statistical testing included a Student t-test, Fisher’s exact test, logistic regression, and Cox proportional hazards analysis. RESULTS One hundred nineteen patients met study criteria; 41 (34%) had at least 10 years of clinical follow-up. HFS fully resolved in 93 (78%), symptoms subjectively improved in 11 (9%) and were unchanged in 15 (13%). Immediate postoperative HFS status did not correlate with long-term outcome (p = 0.13). Changes in LSR were not associated with outcome. Patients receiving neuromodulating agents had significantly longer preoperative duration of symptoms and were more likely to show persistent LSR intraoperatively. HFS recurrence was associated with younger age at the time of surgery but not with intraoperative LSR resolution. CONCLUSIONS This study demonstrated that MVD for HFS is highly effective for most patients. Neither intraoperative LSR change nor immediate postoperative status was predictive of long-term outcomes.
Detecting Speech Abnormalities With a Perceiver-Based Sequence Classifier that Leverages a Universal Speech Model
Soltau, Hagen, Shafran, Izhak, Ottenwess, Alex, Barnard, Leland R , Stricker, John L. , Wiepert, Daniela A. , Duffy, Joseph R. , Utianski, Rene L. , Jones, David T. , Botha, Hugo

Mayo Clinic

2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) | January 19, 2024 | Volume: No volume available | Issue: No issue available | Pages: 1-7

10.1109/asru57964.2023.10389789 Get It

Technology Spotlight Advances in Proteomic Technologies and Their Applications in Hematology
Mangalaparthi, Kiran K. , Pandey, Akhilesh

Mayo Clinic

The Hematologist | January 19, 2024 | Volume: 21 | Issue: 1 | Pages: No page available

10.1182/hem.v21.1.2024110 Get It