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Article: Echocardiographic Assessment of Pulmonary Arterial Hypertension for Pediatricians and Neonatologists.

Skinner, Gregory James

2017 Volume 5, Page(s) 168

Abstract: There is a growing awareness of the role that increased pulmonary vascular resistance (PVR) plays in many pathologies; therefore, assessment of pulmonary artery pressure (PAP) is an increasingly requested investigation in the critical care environment. ... ...

Abstract	There is a growing awareness of the role that increased pulmonary vascular resistance (PVR) plays in many pathologies; therefore, assessment of pulmonary artery pressure (PAP) is an increasingly requested investigation in the critical care environment. This article will go through the basic concepts regarding PAP and PVR, then will go on to outline the various echocardiographic parameters which are used to assess them. Finally, an outline of how to undertake this assessment will be presented.
Language	English
Publishing date	2017-09-04
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2711999-3
ISSN	2296-2360
ISSN	2296-2360
DOI	10.3389/fped.2017.00168
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Article ; Online: Tricuspid valve tissue in the left ventricular outflow tract following ventricular septal defect repair.

Skinner, Gregory James / Shebani, Suhair Omar

BMJ case reports

2015 Volume 2015

MeSH term(s)	Adult ; Echocardiography, Transesophageal ; Female ; Heart Septal Defects, Ventricular/diagnostic imaging ; Heart Septal Defects, Ventricular/pathology ; Heart Septal Defects, Ventricular/surgery ; Heart Ventricles/diagnostic imaging ; Heart Ventricles/pathology ; Humans ; Tricuspid Valve/diagnostic imaging ; Tricuspid Valve/pathology
Language	English
Publishing date	2015-05-14
Publishing country	England
Document type	Case Reports ; Journal Article
ISSN	1757-790X
ISSN (online)	1757-790X
DOI	10.1136/bcr-2015-210338
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Article ; Online: Advance Care Planning and Treatment Intensity Before Death Among Black, Hispanic, and White Patients Hospitalized with COVID-19.

Barnato, Amber E / Johnson, Gregory R / Birkmeyer, John D / Skinner, Jonathan S / O'Malley, Allistair James / Birkmeyer, Nancy J O

Journal of general internal medicine

2022 Volume 37, Issue 8, Page(s) 1996–2002

Abstract: Background: Black and Hispanic people are more likely to contract COVID-19, require hospitalization, and die than White people due to differences in exposures, comorbidity risk, and healthcare access.: Objective: To examine the association of race ... ...

Abstract	Background: Black and Hispanic people are more likely to contract COVID-19, require hospitalization, and die than White people due to differences in exposures, comorbidity risk, and healthcare access. Objective: To examine the association of race and ethnicity with treatment decisions and intensity for patients hospitalized for COVID-19. Design: Retrospective cohort analysis of manually abstracted electronic medical records. Patients: 7,997 patients (62% non-Hispanic White, 16% non-Black Hispanic, and 23% Black) hospitalized for COVID-19 at 135 community hospitals between March and June 2020 MAIN MEASURES: Advance care planning (ACP), do not resuscitate (DNR) orders, intensive care unit (ICU) admission, mechanical ventilation (MV), and in-hospital mortality. Among decedents, we classified the mode of death based on treatment intensity and code status as treatment limitation (no MV/DNR), treatment withdrawal (MV/DNR), maximal life support (MV/no DNR), or other (no MV/no DNR). Key results: Adjusted in-hospital mortality was similar between White (8%) and Black patients (9%, OR=1.1, 95% CI=0.9-1.4, p=0.254), and lower among Hispanic patients (6%, OR=0.7, 95% CI=0.6-1.0, p=0.032). Black and Hispanic patients were significantly more likely to be treated in the ICU (White 23%, Hispanic 27%, Black 28%) and to receive mechanical ventilation (White 12%, Hispanic 17%, Black 16%). The groups had similar rates of ACP (White 12%, Hispanic 12%, Black 11%), but Black and Hispanic patients were less likely to have a DNR order (White 13%, Hispanic 8%, Black 7%). Among decedents, there were significant differences in mode of death by race/ethnicity (treatment limitation: White 39%, Hispanic 17% (p=0.001), Black 18% (p<0.0001); treatment withdrawal: White 26%, Hispanic 43% (p=0.002), Black 28% (p=0.542); and maximal life support: White 21%, Hispanic 26% (p=0.308), Black 36% (p<0.0001)). Conclusions: Hospitalized Black and Hispanic COVID-19 patients received greater treatment intensity than White patients. This may have simultaneously mitigated disparities in in-hospital mortality while increasing burdensome treatment near death.
MeSH term(s)	Advance Care Planning ; COVID-19/therapy ; Hispanic or Latino ; Hospitalization ; Humans ; Retrospective Studies
Language	English
Publishing date	2022-04-11
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	639008-0
ISSN	1525-1497 ; 0884-8734
ISSN (online)	1525-1497
ISSN	0884-8734
DOI	10.1007/s11606-022-07530-4
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Article ; Online: Metformin for chemo-radio-sensitization of NSCLC.

Tsakiridis, Theodoros / Skinner, Heath / Pond, Gregory / Swaminath, Anand / Wright, James

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

2016 Volume 120, Issue 2, Page(s) 363–364

Language	English
Publishing date	2016-08
Publishing country	Ireland
Document type	Letter
ZDB-ID	605646-5
ISSN	1879-0887 ; 0167-8140
ISSN (online)	1879-0887
ISSN	0167-8140
DOI	10.1016/j.radonc.2016.06.018
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Article ; Online: ASD closure under pressure.

Shebani, Suhair Omar / Skinner, Gregory James / Duke, Christopher

BMJ case reports

2014 Volume 2014

Abstract: Transcatheter atrial septal defect device implantation in elderly patients may cause acute pulmonary oedema when impaired left ventricular diastolic function causes an abrupt increase in left atrial pressure. Though left atrial pressure is often ... ...

Abstract	Transcatheter atrial septal defect device implantation in elderly patients may cause acute pulmonary oedema when impaired left ventricular diastolic function causes an abrupt increase in left atrial pressure. Though left atrial pressure is often monitored during test occlusion of a defect, it is not clear at what cut-off value device implantation is contraindicated. We report successful closure of an atrial septal defect in a 73-year-old patient, even though the mean left atrial pressure increased from 18 to 25 mm Hg with device implantation. Although a fenestrated device was used, this did not prevent the rise in left atrial pressure. The patient was supported with mechanical ventilation, milrinone and intravenous diuretics following the procedure and did not develop pulmonary oedema. Her dyspnoea improved and her functional status increased from New York Heart Association (NYHA) III to NYHA II. In conclusion, successful device closure can be accomplished even with high left atrial pressure.
MeSH term(s)	Aged ; Angiotensin-Converting Enzyme Inhibitors/therapeutic use ; Blood Pressure ; Cardiac Catheterization/methods ; Diuretics/therapeutic use ; Embolization, Therapeutic ; Female ; Heart Atria/physiopathology ; Heart Septal Defects, Atrial/physiopathology ; Heart Septal Defects, Atrial/therapy ; Humans ; Pulmonary Edema/prevention & control ; Ventricular Function, Left
Chemical Substances	Angiotensin-Converting Enzyme Inhibitors ; Diuretics
Language	English
Publishing date	2014-09-11
Publishing country	England
Document type	Case Reports ; Journal Article
ISSN	1757-790X
ISSN (online)	1757-790X
DOI	10.1136/bcr-2014-205493
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Article ; Online: Diagnostic and prognostic capabilities of a biomarker and EMR-based machine learning algorithm for sepsis.

Taneja, Ishan / Damhorst, Gregory L / Lopez-Espina, Carlos / Zhao, Sihai Dave / Zhu, Ruoqing / Khan, Shah / White, Karen / Kumar, James / Vincent, Andrew / Yeh, Leon / Majdizadeh, Shirin / Weir, William / Isbell, Scott / Skinner, James / Devanand, Manubolo / Azharuddin, Syed / Meenakshisundaram, Rajamurugan / Upadhyay, Riddhi / Syed, Anwaruddin /

Bauman, Thomas / Devito, Joseph / Heinzmann, Charles / Podolej, Gregory / Shen, Lanxin / Timilsina, Sanjay Sharma / Quinlan, Lucas / Manafirasi, Setareh / Valera, Enrique / Reddy, Bobby / Bashir, Rashid

Clinical and translational science

2021 Volume 14, Issue 4, Page(s) 1578–1589

Abstract: Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administration of broad-spectrum antibiotics is associated with improved outcomes, but early recognition of sepsis remains a major challenge. In a two-center ... ...

Abstract	Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administration of broad-spectrum antibiotics is associated with improved outcomes, but early recognition of sepsis remains a major challenge. In a two-center cohort study with prospective sample collection from 1400 adult patients in emergency departments suspected of sepsis, we sought to determine the diagnostic and prognostic capabilities of a machine-learning algorithm based on clinical data and a set of uncommonly measured biomarkers. Specifically, we demonstrate that a machine-learning model developed using this dataset outputs a score with not only diagnostic capability but also prognostic power with respect to hospital length of stay (LOS), 30-day mortality, and 3-day inpatient re-admission both in our entire testing cohort and various subpopulations. The area under the receiver operating curve (AUROC) for diagnosis of sepsis was 0.83. Predicted risk scores for patients with septic shock were higher compared with patients with sepsis but without shock (p < 0.0001). Scores for patients with infection and organ dysfunction were higher compared with those without either condition (p < 0.0001). Stratification based on predicted scores of the patients into low, medium, and high-risk groups showed significant differences in LOS (p < 0.0001), 30-day mortality (p < 0.0001), and 30-day inpatient readmission (p < 0.0001). In conclusion, a machine-learning algorithm based on electronic medical record (EMR) data and three nonroutinely measured biomarkers demonstrated good diagnostic and prognostic capability at the time of initial blood culture.
MeSH term(s)	Aged ; Area Under Curve ; Biomarkers/blood ; Early Diagnosis ; Electronic Health Records/statistics & numerical data ; Emergency Service, Hospital/statistics & numerical data ; Female ; Hospital Mortality ; Humans ; Length of Stay/statistics & numerical data ; Machine Learning ; Male ; Middle Aged ; Patient Readmission/statistics & numerical data ; Prognosis ; Prospective Studies ; ROC Curve ; Sepsis/blood ; Sepsis/diagnosis ; Sepsis/microbiology ; Sepsis/mortality
Chemical Substances	Biomarkers
Language	English
Publishing date	2021-05-02
Publishing country	United States
Document type	Journal Article ; Multicenter Study ; Observational Study
ZDB-ID	2433157-0
ISSN	1752-8062 ; 1752-8054
ISSN (online)	1752-8062
ISSN	1752-8054
DOI	10.1111/cts.13030
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Article ; Online: Rare t(X;14)(q28;q32) translocation reveals link between MTCP1 and chronic lymphocytic leukemia.

Walker, Janek S / Hing, Zachary A / Sher, Steven / Cronin, James / Williams, Katie / Harrington, Bonnie / Skinner, Jordan N / Cempre, Casey B / Gregory, Charles T / Pan, Alexander / Yano, Max / Beaver, Larry P / Walker, Brandi R / Labanowska, Jadwiga M / Heerema, Nyla A / Mrózek, Krzysztof / Woyach, Jennifer A / Ruppert, Amy S / Lehman, Amy /

Ozer, Hatice Gulcin / Coppola, Vincenzo / Yan, Pearlly / Byrd, John C / Blachly, James S / Lapalombella, Rosa

Nature communications

2021 Volume 12, Issue 1, Page(s) 6338

Abstract: Rare, recurrent balanced translocations occur in a variety of cancers but are often not functionally interrogated. Balanced translocations with the immunoglobulin heavy chain locus (IGH; 14q32) in chronic lymphocytic leukemia (CLL) are infrequent but ... ...

Abstract	Rare, recurrent balanced translocations occur in a variety of cancers but are often not functionally interrogated. Balanced translocations with the immunoglobulin heavy chain locus (IGH; 14q32) in chronic lymphocytic leukemia (CLL) are infrequent but have led to the discovery of pathogenic genes including CCND1, BCL2, and BCL3. Following identification of a t(X;14)(q28;q32) translocation that placed the mature T cell proliferation 1 gene (MTCP1) adjacent to the immunoglobulin locus in a CLL patient, we hypothesized that this gene may have previously unrecognized importance. Indeed, here we report overexpression of human MTCP1 restricted to the B cell compartment in mice produces a clonal CD5
MeSH term(s)	Adult ; Aged ; Aged, 80 and over ; Animals ; B-Cell Lymphoma 3 Protein ; Cyclin D1 ; Female ; Gene Expression Regulation ; Genes, Immunoglobulin Heavy Chain ; Humans ; Immunoglobulin Heavy Chains/genetics ; Leukemia, Lymphocytic, Chronic, B-Cell/genetics ; Leukemia, Lymphocytic, Chronic, B-Cell/metabolism ; Male ; Mice ; Mice, Inbred C57BL ; Middle Aged ; Oncogenes/genetics ; Proto-Oncogene Proteins/genetics ; Proto-Oncogene Proteins/metabolism ; Proto-Oncogene Proteins c-bcl-2 ; Translocation, Genetic
Chemical Substances	B-Cell Lymphoma 3 Protein ; BCL2 protein, human ; BCL3 protein, human ; CCND1 protein, human ; Immunoglobulin Heavy Chains ; MTCP1 protein, human ; Proto-Oncogene Proteins ; Proto-Oncogene Proteins c-bcl-2 ; Cyclin D1 (136601-57-5)
Language	English
Publishing date	2021-11-03
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	2553671-0
ISSN	2041-1723 ; 2041-1723
ISSN (online)	2041-1723
ISSN	2041-1723
DOI	10.1038/s41467-021-26400-x
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Article ; Online: Dysregulation of PRMT5 in chronic lymphocytic leukemia promotes progression with high risk of Richter's transformation.

Hing, Zachary A / Walker, Janek S / Whipp, Ethan C / Brinton, Lindsey / Cannon, Matthew / Zhang, Pu / Sher, Steven / Cempre, Casey B / Brown, Fiona / Smith, Porsha L / Agostinelli, Claudio / Pileri, Stefano A / Skinner, Jordan N / Williams, Katie / Phillips, Hannah / Shaffer, Jami / Beaver, Larry P / Pan, Alexander / Shin, Kyle /

Nature communications

2023 Volume 14, Issue 1, Page(s) 97

Abstract: Richter's Transformation (RT) is a poorly understood and fatal progression of chronic lymphocytic leukemia (CLL) manifesting histologically as diffuse large B-cell lymphoma. Protein arginine methyltransferase 5 (PRMT5) is implicated in lymphomagenesis, ... ...

Abstract	Richter's Transformation (RT) is a poorly understood and fatal progression of chronic lymphocytic leukemia (CLL) manifesting histologically as diffuse large B-cell lymphoma. Protein arginine methyltransferase 5 (PRMT5) is implicated in lymphomagenesis, but its role in CLL or RT progression is unknown. We demonstrate herein that tumors uniformly overexpress PRMT5 in patients with progression to RT. Furthermore, mice with B-specific overexpression of hPRMT5 develop a B-lymphoid expansion with increased risk of death, and Eµ-PRMT5/TCL1 double transgenic mice develop a highly aggressive disease with transformation that histologically resembles RT; where large-scale transcriptional profiling identifies oncogenic pathways mediating PRMT5-driven disease progression. Lastly, we report the development of a SAM-competitive PRMT5 inhibitor, PRT382, with exclusive selectivity and optimal in vitro and in vivo activity compared to available PRMT5 inhibitors. Taken together, the discovery that PRMT5 drives oncogenic pathways promoting RT provides a compelling rationale for clinical investigation of PRMT5 inhibitors such as PRT382 in aggressive CLL/RT cases.
MeSH term(s)	Animals ; Mice ; Leukemia, Lymphocytic, Chronic, B-Cell/genetics ; Leukemia, Lymphocytic, Chronic, B-Cell/pathology ; Lymphoma, Large B-Cell, Diffuse/pathology
Language	English
Publishing date	2023-01-06
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	2553671-0
ISSN	2041-1723 ; 2041-1723
ISSN (online)	2041-1723
ISSN	2041-1723
DOI	10.1038/s41467-022-35778-1
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Article ; Online: Diagnostic and prognostic capabilities of a biomarker and EMR‐based machine learning algorithm for sepsis

Ishan Taneja / Gregory L. Damhorst / Carlos Lopez‐Espina / Sihai Dave Zhao / Ruoqing Zhu / Shah Khan / Karen White / James Kumar / Andrew Vincent / Leon Yeh / Shirin Majdizadeh / William Weir / Scott Isbell / James Skinner / Manubolo Devanand / Syed Azharuddin / Rajamurugan Meenakshisundaram / Riddhi Upadhyay / Anwaruddin Syed /

Thomas Bauman / Joseph Devito / Charles Heinzmann / Gregory Podolej / Lanxin Shen / Sanjay Sharma Timilsina / Lucas Quinlan / Setareh Manafirasi / Enrique Valera / Bobby Reddy Jr. / Rashid Bashir

Clinical and Translational Science, Vol 14, Iss 4, Pp 1578-

2021 Volume 1589

Abstract: Abstract Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administration of broad‐spectrum antibiotics is associated with improved outcomes, but early recognition of sepsis remains a major challenge. In a two‐ ... ...

Abstract	Abstract Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administration of broad‐spectrum antibiotics is associated with improved outcomes, but early recognition of sepsis remains a major challenge. In a two‐center cohort study with prospective sample collection from 1400 adult patients in emergency departments suspected of sepsis, we sought to determine the diagnostic and prognostic capabilities of a machine‐learning algorithm based on clinical data and a set of uncommonly measured biomarkers. Specifically, we demonstrate that a machine‐learning model developed using this dataset outputs a score with not only diagnostic capability but also prognostic power with respect to hospital length of stay (LOS), 30‐day mortality, and 3‐day inpatient re‐admission both in our entire testing cohort and various subpopulations. The area under the receiver operating curve (AUROC) for diagnosis of sepsis was 0.83. Predicted risk scores for patients with septic shock were higher compared with patients with sepsis but without shock (p < 0.0001). Scores for patients with infection and organ dysfunction were higher compared with those without either condition (p < 0.0001). Stratification based on predicted scores of the patients into low, medium, and high‐risk groups showed significant differences in LOS (p < 0.0001), 30‐day mortality (p < 0.0001), and 30‐day inpatient readmission (p < 0.0001). In conclusion, a machine‐learning algorithm based on electronic medical record (EMR) data and three nonroutinely measured biomarkers demonstrated good diagnostic and prognostic capability at the time of initial blood culture.
Keywords	Therapeutics. Pharmacology ; RM1-950 ; Public aspects of medicine ; RA1-1270
Subject code	616
Language	English
Publishing date	2021-07-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
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Article ; Online: Correction: Genomic analysis of cellular hierarchy in acute myeloid leukemia using ultrasensitive LC-FACSeq.

Saygin, Caner / Hu, Eileen / Zhang, Pu / Sher, Steven / Lozanski, Arletta / Doong, Tzyy-Jye / Nicolet, Deedra / Orwick, Shelley / Labanowska, Jadwiga / Skinner, Jordan N / Cempre, Casey / Kauffman, Tierney / Goettl, Virginia M / Heerema, Nyla A / Abruzzo, Lynne / Miller, Cecelia / Lapalombella, Rosa / Behbehani, Gregory / Mims, Alice S /

Larkin, Karilyn / Grieselhuber, Nicole / Walker, Alison / Bhatnagar, Bhavana / Bloomfield, Clara D / Byrd, John C / Lozanski, Gerard / Blachly, James S

Leukemia

2021 Volume 35, Issue 12, Page(s) 3627

Language	English
Publishing date	2021-09-03
Publishing country	England
Document type	Published Erratum
ZDB-ID	807030-1
ISSN	1476-5551 ; 0887-6924
ISSN (online)	1476-5551
ISSN	0887-6924
DOI	10.1038/s41375-021-01398-9
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