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  1. Article ; Online: Innovations and Opportunities for the Integration of Palliative Care in Cancer Care.

    Newport, Kristina B / Webb, Jason A

    Current problems in cancer

    2023  Volume 47, Issue 5, Page(s) 101016

    MeSH term(s) Humans ; Palliative Care ; Neoplasms/therapy
    Language English
    Publishing date 2023-09-27
    Publishing country United States
    Document type Editorial
    ZDB-ID 441816-5
    ISSN 1535-6345 ; 0147-0272
    ISSN (online) 1535-6345
    ISSN 0147-0272
    DOI 10.1016/j.currproblcancer.2023.101016
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  2. Article ; Online: Prognostication and Proactive Planning in COVID-19.

    Newport, Kristina B / Malhotra, Sonia / Widera, Eric

    Journal of pain and symptom management

    2020  Volume 60, Issue 2, Page(s) e52–e55

    Abstract: Accurate prognostication is challenging in the setting of SARS-CoV-2, the virus responsible for COVID-19, due to rapidly changing data, studies that are not generalizable, and lack of morbidity and functional outcomes in survivors. To provide meaningful ... ...

    Abstract Accurate prognostication is challenging in the setting of SARS-CoV-2, the virus responsible for COVID-19, due to rapidly changing data, studies that are not generalizable, and lack of morbidity and functional outcomes in survivors. To provide meaningful guidance to patients, existing mortality data must be considered and appropriately applied. Although most people infected with SARS-CoV-2 will recover, mortality increases with age and comorbidity in those who develop severe illness.
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; COVID-19 ; Child ; Child, Preschool ; Coronavirus Infections/diagnosis ; Coronavirus Infections/mortality ; Coronavirus Infections/therapy ; Humans ; Infant ; Infant, Newborn ; Middle Aged ; Palliative Care/methods ; Pandemics ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/mortality ; Pneumonia, Viral/therapy ; Precision Medicine/methods ; Prognosis ; Young Adult
    Keywords covid19
    Language English
    Publishing date 2020-05-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639142-4
    ISSN 1873-6513 ; 0885-3924
    ISSN (online) 1873-6513
    ISSN 0885-3924
    DOI 10.1016/j.jpainsymman.2020.04.152
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  3. Article ; Online: Prognostication and Proactive Planning in COVID-19

    Newport, Kristina B. / Malhotra, Sonia / Widera, Eric

    Journal of Pain and Symptom Management

    2020  Volume 60, Issue 2, Page(s) e52–e55

    Keywords Anesthesiology and Pain Medicine ; General Nursing ; Clinical Neurology ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 639142-4
    ISSN 0885-3924
    ISSN 0885-3924
    DOI 10.1016/j.jpainsymman.2020.04.152
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Prognostication and Proactive Planning in COVID-19

    Newport, Kristina B / Malhotra, Sonia / Widera, Eric

    J Pain Symptom Manage

    Abstract: Accurate prognostication is challenging in the setting of SARS-CoV-2, the virus responsible for COVID-19, due to rapidly changing data, studies that are not generalizable, and lack of morbidity and functional outcomes in survivors. To provide meaningful ... ...

    Abstract Accurate prognostication is challenging in the setting of SARS-CoV-2, the virus responsible for COVID-19, due to rapidly changing data, studies that are not generalizable, and lack of morbidity and functional outcomes in survivors. To provide meaningful guidance to patients, existing mortality data must be considered and appropriately applied. Although most people infected with SARS-CoV-2 will recover, mortality increases with age and comorbidity in those who develop severe illness.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #197447
    Database COVID19

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  5. Article ; Online: Survival after palliative radiation therapy for cancer: The METSSS model.

    Zaorsky, Nicholas G / Liang, Menglu / Patel, Rutu / Lin, Christine / Tchelebi, Leila T / Newport, Kristina B / Fox, Edward J / Wang, Ming

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

    2021  Volume 158, Page(s) 104–111

    Abstract: Background: We propose a predictive model that identifies patients at greatest risk of death after palliative radiotherapy, and subsequently, can help medical professionals choose treatments that better align with patient choice and prognosis.: ... ...

    Abstract Background: We propose a predictive model that identifies patients at greatest risk of death after palliative radiotherapy, and subsequently, can help medical professionals choose treatments that better align with patient choice and prognosis.
    Methods: The National Cancer Database was queried for recipients of palliative radiotherapy during first course of treatment. Cox regression models and adjusted hazard ratios with 95% confidence intervals were used to evaluate survival predictors. The mortality risk index was calculated using predictors from the estimated Cox regression model, with higher values indicating higher mortality risk. Based on tertile cutpoints, patients were divided into low, medium, and high risk groups.
    Results: A total of 68,505 patients were included from 2010-2014, median age 65.7 years. Several risk factors were found to predict survival: (1) location of metastases (liver, bone, lung, and brain); (2) age; (3) tumor primary (prostate, breast, lung, other); (4) gender; (5) Charlson-Deyo comorbidity score; and (6) radiotherapy site. The median survival times were 11.66 months, 5.09 months, and 3.28 months in the low (n=22,621), medium (n=22,638), and high risk groups (n=22,611), respectively. A nomogram was created and validated to predict survival, available online, https://tinyurl.com/METSSSmodel. Harrel's C-index was 0.71 and receiver operator characteristic area under the curve was 0.76 at 4 years.
    Conclusion: We created a predictive nomogram for survival of patients receiving palliative radiotherapy during their first course of treatment (named METSSS), based on Metastases location, Elderly (age), Tumor primary, Sex, Sickness/comorbidity, and Site of radiotherapy.
    MeSH term(s) Aged ; Humans ; Male ; Neoplasms/radiotherapy ; Nomograms ; Palliative Care ; Prognosis ; Retrospective Studies
    Language English
    Publishing date 2021-02-19
    Publishing country Ireland
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 605646-5
    ISSN 1879-0887 ; 0167-8140
    ISSN (online) 1879-0887
    ISSN 0167-8140
    DOI 10.1016/j.radonc.2021.02.011
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    Zs.A 1926: Show issues Location:
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  6. Article ; Online: The "PSOST": Providers' Signout for Scope of Treatment.

    Newport, Kristina Braine / Patel, Shejal / Lyckholm, Laurie / Bobb, Barton / Coyne, Patrick / Smith, Thomas J

    Journal of palliative medicine

    2010  Volume 13, Issue 9, Page(s) 1055–1058

    Abstract: Palliative care provides open and honest communication, medically appropriate goal setting, and meticulous attention to symptom assessment and control. The Physicians Orders for Life Sustaining Treatment (POLST) is a growing movement to allow health care ...

    Abstract Palliative care provides open and honest communication, medically appropriate goal setting, and meticulous attention to symptom assessment and control. The Physicians Orders for Life Sustaining Treatment (POLST) is a growing movement to allow health care providers to indicate, with their patients, what they want done in specific situations, such as feeding tubes, mechanical ventilation, or transfer to an intensive care unit. We have developed an internal signout tool used by palliative medicine fellows in our institution to specify similar interventions-or not-with seriously ill palliative care patients, the Providers Signout for Scope of Treatment (PSOST). We have found that this situation-specific tool enables smooth transitions of care on nights and weekends, especially when the patient is near death, and may help prevent both overescalation of care and underuse of life saving treatments such as resuscitation. The PSOST differs from other signout tools in that it gives clear direction regarding the patient's medical goals and desire for escalation of care, or not. We present it here for open access and use anywhere. This tool has also assisted in building team communication with the nursing shifts, especially nights and weekends, as all team members are able to deliver a consistent message, while meeting the goals of care for patients and families. We believe this tool could be useful with a broader patient population, outside of Palliative Medicine, to provide clearer direction for hospitalized or nursing home patients whose care is often directed by multiple providers. It could also be used as a template for signouts on other inpatient services, as care goals are important for all patients.
    MeSH term(s) Advance Directives ; Continuity of Patient Care/organization & administration ; Efficiency, Organizational ; Humans ; Life Support Care ; Medical Records ; Palliative Care ; Patient Care Planning ; Patient Care Team ; Process Assessment (Health Care) ; Software ; Terminal Care
    Language English
    Publishing date 2010-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1427361-5
    ISSN 1557-7740 ; 1096-6218
    ISSN (online) 1557-7740
    ISSN 1096-6218
    DOI 10.1089/jpm.2010.0103
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    Zs.A 5440: Show issues Location:
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  7. Article ; Online: Clinical phenotypes of perinatal depression and time of symptom onset: analysis of data from an international consortium.

    Putnam, Karen T / Wilcox, Marsha / Robertson-Blackmore, Emma / Sharkey, Katherine / Bergink, Veerle / Munk-Olsen, Trine / Deligiannidis, Kristina M / Payne, Jennifer / Altemus, Margaret / Newport, Jeffrey / Apter, Gisele / Devouche, Emmanuel / Viktorin, Alexander / Magnusson, Patrik / Penninx, Brenda / Buist, Anne / Bilszta, Justin / O'Hara, Michael / Stuart, Scott /
    Brock, Rebecca / Roza, Sabine / Tiemeier, Henning / Guille, Constance / Epperson, C Neill / Kim, Deborah / Schmidt, Peter / Martinez, Pedro / Di Florio, Arianna / Wisner, Katherine L / Stowe, Zachary / Jones, Ian / Sullivan, Patrick F / Rubinow, David / Wildenhaus, Kevin / Meltzer-Brody, Samantha

    The lancet. Psychiatry

    2017  Volume 4, Issue 6, Page(s) 477–485

    Abstract: Background: The perinatal period is a time of high risk for onset of depressive disorders and is associated with substantial morbidity and mortality, including maternal suicide. Perinatal depression comprises a heterogeneous group of clinical subtypes, ... ...

    Abstract Background: The perinatal period is a time of high risk for onset of depressive disorders and is associated with substantial morbidity and mortality, including maternal suicide. Perinatal depression comprises a heterogeneous group of clinical subtypes, and further refinement is needed to improve treatment outcomes. We sought to empirically identify and describe clinically relevant phenotypic subtypes of perinatal depression, and further characterise subtypes by time of symptom onset within pregnancy and three post-partum periods.
    Methods: Data were assembled from a subset of seven of 19 international sites in the Postpartum Depression: Action Towards Causes and Treatment (PACT) Consortium. In this analysis, the cohort was restricted to women aged 19-40 years with information about onset of depressive symptoms in the perinatal period and complete prospective data for the ten-item Edinburgh postnatal depression scale (EPDS). Principal components and common factor analysis were used to identify symptom dimensions in the EPDS. The National Institute of Mental Health research domain criteria functional constructs of negative valence and arousal were applied to the EPDS dimensions that reflect states of depressed mood, anhedonia, and anxiety. We used k-means clustering to identify subtypes of women sharing symptom patterns. Univariate and bivariate statistics were used to describe the subtypes.
    Findings: Data for 663 women were included in these analyses. We found evidence for three underlying dimensions measured by the EPDS: depressed mood, anxiety, and anhedonia. On the basis of these dimensions, we identified five distinct subtypes of perinatal depression: severe anxious depression, moderate anxious depression, anxious anhedonia, pure anhedonia, and resolved depression. These subtypes have clear differences in symptom quality and time of onset. Anxiety and anhedonia emerged as prominent symptom dimensions with post-partum onset and were notably severe.
    Interpretation: Our findings show that there might be different types and severity of perinatal depression with varying time of onset throughout pregnancy and post partum. These findings support the need for tailored treatments that improve outcomes for women with perinatal depression.
    Funding: Janssen Research & Development.
    MeSH term(s) Adult ; Anhedonia ; Anxiety Disorders/complications ; Anxiety Disorders/epidemiology ; Anxiety Disorders/psychology ; Depression/complications ; Depression/epidemiology ; Depression/psychology ; Depression, Postpartum/complications ; Depression, Postpartum/epidemiology ; Depression, Postpartum/mortality ; Depression, Postpartum/psychology ; Depressive Disorder/epidemiology ; Depressive Disorder/mortality ; Depressive Disorder/psychology ; Factor Analysis, Statistical ; Female ; Humans ; Mass Screening/psychology ; Mass Screening/standards ; Phenotype ; Postpartum Period/psychology ; Pregnancy ; Prospective Studies ; Psychiatric Status Rating Scales/statistics & numerical data ; Severity of Illness Index ; Suicidal Ideation ; Suicide, Attempted/prevention & control ; Suicide, Attempted/psychology
    Language English
    Publishing date 2017-05-03
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ISSN 2215-0374
    ISSN (online) 2215-0374
    DOI 10.1016/S2215-0366(17)30136-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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