A retrospective analysis of the effect of patient-specific factors on voriconazole concentrations in oncology patients

2011 ◽  
Vol 18 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Lindsey R Lombardi ◽  
Todd A Miano ◽  
Jennifer L Davis ◽  
Steven C Morgan ◽  
Steven C Goldstein ◽  
...  
Keyword(s):  
Retrospective Analysis ◽  
Patient Specific ◽  
Oncology Patients ◽  
Specific Factors

Examining patient specific factors associated with inpatient hospital length of stay for solid tumor oncology patients from low socioeconomic communities in Milwaukee, WI.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 232-232
Author(s):  
Sailaja Kamaraju ◽  
Bethany Canales ◽  
Tamiah Wright ◽  
John A. Charlson ◽  
Aniko Szabo ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Cancer Diagnosis ◽  
Solid Tumor ◽  
Hospital Length Of Stay ◽  
Patient Specific ◽  
Low Ses ◽  
Oncology Patients ◽  
Low Socioeconomic ◽  
Specific Factors ◽  
Primary Payer

232 Background: In a retrospective analysis at the Medical College of Wisconsin’s Cancer Center, we identified longer inpatient length of stay (LOS) for patients residing in low-socioeconomic (SES) ZIP Codes in Milwaukee County compared to their high-SES counterparts in 2020 (7.3 days compared to 7.1 days). Under the auspices of American Society of Clinical Oncology’ Quality Training Program (QTP) initiative, this study examined specific factors related to prolonged LOS for solid tumor oncology patients. Methods: This analysis includes initial CY20 LOS medical record data for select patient service areas. Supplemental data includes disease registry data, diagnostic data, and SES data determined by patient ZIP Code. We identified patients 18 years and older with a diagnosis of common oncologic malignancies from 1/1/2020-12/31/2020 (breast, gastrointestinal (GI), genitourinary (GU), gynecologic (GYN), head and neck (H&N), and lung cancers). Poisson regression models with robust standard errors were used to compare the LOS index (LOSi) between groups of patients based on race, SES group, primary payer, and BMI. Results: A total of 1,637 patients with solid tumor diagnosis admitted to hematology and oncology units were identified. The LOSi did not vary significantly by race (range 0.95 – 1.07, p = 0.40) or primary payer (range 0.99 – 1.04, p = 0.59), but lower SES groups tended to have longer LOSi, with LOSi ratio above 1 compared to high SES (low SES: 1.16, p = 0.2; medium-low SES: 1.24, p = 0.06). Among patients with breast cancer diagnosis, Black (LOSi = 1.24, p = 0.01), medium-low SES (LOSi = 1.46, p = 0.02), Medicaid (LOSi = 1.40, p = 0.00), underweight (LOSi = 1.66, p = 0.00), and overweight (LOSi = 1.23, p = 0.01) patients had slightly longer LOSi, with LOSi ratio above 1. Among patients with H&N cancer diagnosis, Black patients (LOSi = 0.77, p = 0.02) had slightly shorter LOSi, with LOSi ratio below 1. The LOSi did not vary significantly by other factors for patients with H&N cancer diagnosis or the other common oncologic malignancies evaluated. Conclusions: This study shows how patient-specific factors such as race, SES, primary payer, and BMI contribute to inpatient LOS. Healthcare systems may benefit by addressing patient-specific barriers and factors such as body mass index, SES and SDH, to reduce hospital LOS.

scholarly journals A retrospective analysis of patient-specific factors on voriconazole clearance

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Satoshi Dote ◽  
Maki Sawai ◽  
Ayumu Nozaki ◽  
Kazumasa Naruhashi ◽  
Yuka Kobayashi ◽  
...  
Keyword(s):  
Retrospective Analysis ◽  
Patient Specific ◽  
Specific Factors

scholarly journals True Kinematic Alignment Is Applicable in 44% of Patients Applying Restrictive Indication Criteria—A Retrospective Analysis of 111 TKA Using Robotic Assistance

2021 ◽  
Vol 11 (7) ◽  
pp. 662
Author(s):  
Kim Huber ◽  
Bernhard Christen ◽  
Sarah Calliess ◽  
Tilman Calliess
Keyword(s):  
Soft Tissue ◽  
Retrospective Analysis ◽  
Patient Specific ◽  
Kinematic Alignment ◽  
Postoperative Phase ◽  
Robotic Assistance ◽  
Component Position ◽  
Joint Stability ◽  
Robotic Assisted ◽  
Primary Tkas

Introduction: Image-based robotic assistance appears to be a promising tool for individualizing alignment in total knee arthroplasty (TKA). The patient-specific model of the knee enables a preoperative 3D planning of component position. Adjustments to the individual soft-tissue situation can be done intraoperatively. Based on this, we have established a standardized workflow to implement the idea of kinematic alignment (KA) for robotic-assisted TKA. In addition, we have defined limits for its use. If these limits are reached, we switch to a restricted KA (rKA). The aim of the study was to evaluate (1) in what percentage of patients a true KA or an rKA is applicable, (2) whether there were differences regarding knee phenotypes, and (3) what the differences of philosophies in terms of component position, joint stability, and early patient outcome were. Methods: The study included a retrospective analysis of 111 robotic-assisted primary TKAs. Based on preoperative long leg standing radiographs, the patients were categorized into a varus, valgus, or neutral subgroup. Initially, all patients were planned for KA TKA. When the defined safe zone had been exceeded, adjustments to an rKA were made. Intraoperatively, the alignment of the components and joint gaps were recorded by robotic software. Results and conclusion: With our indication for TKA and the defined boundaries, “only” 44% of the patients were suitable for a true KA with no adjustments or soft tissue releases. In the varus group, it was about 70%, whereas it was 0% in the valgus group and 25% in the neutral alignment group. Thus, significant differences with regard to knee morphotypes were evident. In the KA group, a more physiological knee balance reconstructing the trapezoidal flexion gap (+2 mm on average laterally) was seen as well as a closer reconstruction of the surface anatomy and joint line in all dimensions compared to rKA. This resulted in a higher improvement in the collected outcome scores in favor of KA in the very early postoperative phase.

Successful recanalization for acute ischemic stroke via the transbrachial approach

2014 ◽  
Vol 8 (2) ◽  
pp. 122-125 ◽  
Author(s):  
Masakazu Okawa ◽  
Satoshi Tateshima ◽  
David Liebeskind ◽  
Latisha K Ali ◽  
Michael L Thompson ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Patient Specific ◽  
Ischemic Stroke Patient ◽  
Transfemoral Approach ◽  
Acute Ischemic Stroke Patient ◽  
Transbrachial Approach ◽  
Stent Retrievers ◽  
Endovascular Approach ◽  
Specific Factors

The recent development of revascularization devices, including stent retrievers, has enabled increasingly higher revascularization rates for arterial occlusions in acute ischemic stroke. Patient-specific factors such as anatomy, however, may occasionally limit endovascular deployment of these new devices via the conventional transfemoral approach. We report three cases of acute ischemic stroke where a transbrachial endovascular approach to revascularization was used, resulting in successful recanalization. These examples suggest that a transbrachial approach may be considered as an alternative in the endovascular treatment of acute ischemic stroke.

Measurement of B-domain-deleted ReFacto AF activity with a product-specific standard is affected by choice of reagent and patient-specific factors

Haemophilia ◽  
2017 ◽  
Vol 24 (4) ◽  
pp. 675-682 ◽  
Author(s):  
M. Jacquemin ◽  
A. Vodolazkaia ◽  
J. Toelen ◽  
J. Schoeters ◽  
I. Van Horenbeeck ◽  
...  
Keyword(s):  
Patient Specific ◽  
Specific Standard ◽  
Specific Factors

Retrospective analysis of 2D patient-specific IMRT verifications

2005 ◽  
Vol 32 (4) ◽  
pp. 838-850 ◽  
Author(s):  
Nathan L. Childress ◽  
R. Allen White ◽  
Charles Bloch ◽  
Mohammad Salehpour ◽  
Lei Dong ◽  
...  
Keyword(s):  
Retrospective Analysis ◽  
Patient Specific

scholarly journals Complexity In The Context of Palliative Care: A Scoping Review

2021 ◽  
Author(s):  
Hironori Ohinata ◽  
Maho Aoyama ◽  
Mitsunori Miyashita
Keyword(s):  
Palliative Care ◽  
Scoping Review ◽  
Healthcare Providers ◽  
The United States ◽  
Patient Specific ◽  
Future Research ◽  
Care Needs ◽  
Living Situation ◽  
Research Activities ◽  
Specific Factors

Abstract Background: Understanding the factors of complexity of patients in palliative care is very important for healthcare providers in addressing the care needs of their patients. However, the healthcare providers’ perception of the factors of complexity in palliative care lacks a common understanding. This study aimed to determine the scope of research activities and specific factors of complexity in the context of palliative care.Methods: A scoping literature review was performed, following the methods described by the Joanna Briggs Institute. We conducted an electronic literature search in MEDLINE (Ovid), PsycINFO, Web of Science Core Collection, and CINAHL, examining literature from May 1972 to 2020.Results: We identified 32 peer-reviewed articles published in English before 2020. The target literature mainly originated in Europe and the United States. The research methods included quantitative studies (n=13), qualitative studies (n=12), case studies (n=3), and reviews (n=4). We reviewed 32 studies and summarized the factors of complexity into three levels: the patient’s level, the healthcare setting level, and the socio-cultural landscape level. We identified factors affecting patient-specific complexity, including sex, race, age, living situation, family burden, resources, treatment, decision-making, communication, prognosis, disease, and comorbidity/complexity. Other factors identified as contributing to patient complexity were the interaction of physical, psychological, social, and spiritual categories, as well as the healthcare providers’ confidence and skills, and the socio-cultural components.Conclusions: This scoping review shows specific factors of complexity and future challenges in the context of palliative care. Future research should include the factors of complexity identified in this review and conduct longitudinal studies on the interactions among them. In addition, it is necessary to examine specific complexity factors in patients from various social and ethnic backgrounds.

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