Terminology and Classification of Blood Purification in Critical Care in Japan

2010 ◽  
pp. 11-20 ◽  
Author(s):  
Hideki Kawanishi
Keyword(s):  
Critical Care ◽  
Blood Purification

Classification of dermatological disorders in critical care patients: A prospective observational study

2013 ◽  
Vol 28 (2) ◽  
pp. 220.e1-220.e8 ◽  
Author(s):  
Mariona Badia ◽  
Luis Serviá ◽  
Josep Manel Casanova ◽  
Neus Montserrat ◽  
Judit Vilanova ◽  
...  
Keyword(s):  
Critical Care ◽  
Observational Study ◽  
Prospective Observational Study ◽  
Dermatological Disorders ◽  
Critical Care Patients

Current Status of Blood Purification in Critical Care in Japan

2010 ◽  
pp. 4-10 ◽  
Author(s):  
Kazo Kaizu ◽  
Yoshifumi Inada ◽  
Akio Kawamura ◽  
Seito Oda ◽  
Hiroyuki Hirasawa
Keyword(s):  
Critical Care ◽  
Blood Purification ◽  
Current Status

The Pregnant Surgical Patient

2015 ◽  
Author(s):  
Nina Tamirisa ◽  
Sami Kilic ◽  
Mostafa Borahay
Keyword(s):  
Critical Care ◽  
Abdominal Pain ◽  
Imaging Modality ◽  
Pregnant Patient ◽  
Surgical Patient ◽  
Changes In Pregnancy ◽  
Surgical Conditions ◽  
Laboratory Changes ◽  
In Pregnancy

The most vulnerable time for a fetus is during embryogenesis in the first 8 to 10 weeks of pregnancy, when women may be unaware of their pregnancy. Once pregnancy is established, a standard approach to the pregnant patient is the optimal way to ensure medical and surgical decisions are made within the context of maintaining the safety of both mother and fetus. This review describes the approach to the pregnant patient for surgical conditions within the context of physiologic changes of the patient and fetus at each trimester, anesthesia and critical care in pregnancy, imaging and drugs safe for use in pregnancy, and nongynecologic surgery in the pregnant patient and specific surgical conditions. Tables outline the classification of abortion, the assessment of pregnancy viability, physiologic changes in pregnancy, laboratory changes in pregnancy, imaging modality and radiation dose, and antibiotics and safety in pregnancy. Figures include a diagram of types of hysterectomy, respiratory changes in pregnancy, and enlargement of the uterus. Algorithms outline the approach to abdominal pain in the pregnant patient and diagnosis and management of ectopic pregnancy. This review contains 5 figures, 6 tables, and 85 references.

scholarly journals Model of facilitation of emotional intelligence to promote wholeness of neophyte critical care nurses in South Africa

2015 ◽  
Vol 20 (1) ◽  
Author(s):  
A. Towell ◽  
W. E. Nel ◽  
A. Muller
Keyword(s):  
South Africa ◽  
Emotional Intelligence ◽  
Critical Care ◽  
Critical Care Nurses ◽  
Main Concept ◽  
Phase Step ◽  
Critical Care Units ◽  
Latent Ability ◽  
Three Phases

This study was undertaken in order to develop a model of facilitation of emotional intelligence to promote wholeness in neophyte critical care nurses in South Africa. A theory generative, explorative, descriptive, contextual research design was used. The model was developed utilising the four steps of theory generation as proposed by Dickoff, James, and Wiedenbach (1968), Chinn and Kramer (2011) and Walker and Avant (2011). Step one dealt with the empirical phase in which the concepts were distilled. The facilitation of inherent affective and mental resourcefulness and resilience was the main concept of the model. Step two comprised the definition and classification of central and related concepts. Step three provides a description of the model. The model operates in three phases namely the dependent phase, partially dependent phase and the independent phase. Step four entailed the description of guidelines for operationalizing the model. During the three phases of the model a new nurse who starts to work in critical care moves from a latent ability to develop an inherent affective and mental resourcefulness and resilience to a state of developing an inherent affective and mental resourcefulness and resilience. This model provides a structured framework for the facilitation of emotional intelligence (EI) to promote wholeness in nurses who commence to work in critical care units.

Novel Score for Stratifying Risk of Critical Care Needs in Intracerebral Hemorrhage Patients: Critical Care Needs in ICH

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000011927
Author(s):  
Roland Faigle ◽  
Bridget J. Chen ◽  
Rachel Krieger ◽  
Elisabeth B. Marsh ◽  
Ayham Alkhachroum ◽  
...  
Keyword(s):  
Critical Care ◽  
Intracerebral Hemorrhage ◽  
Risk Score ◽  
Validation Cohort ◽  
External Validation ◽  
Low Risk ◽  
Care Needs ◽  
Emergency Department Stay ◽  
Strength Of Association

Objective:To develop a risk prediction score identifying intracerebral hemorrhage (ICH) patients at low risk for critical care.Methods:We retrospectively analyzed data of 451 ICH patients between 2010-2018. The sample was randomly divided in a development and a validation cohort. Logistic regression was used to develop a risk score by weighting independent predictors of ICU needs based on strength of association. The risk score was tested in the validation cohort, and externally validated in a dataset from another institution.Results:The rate of ICU interventions was 80.3%. Systolic blood pressure (SBP), Glasgow Coma Scale (GCS), intraventricular hemorrhage (IVH), and ICH volume were independent predictors of critical care, resulting in the following point assignments for the INtensive care TRiaging IN Spontaneous IntraCerebral hemorrhage (INTRINSIC) score: SBP 160-190 mm Hg (1 point), SBP >190 mm Hg (3 points); GCS 8-13 (1 point), GCS <8 (3 points); ICH volume 16-40 cm3 (1 point), ICH volume >40 cm3 (2 points); and presence of IVH (1 point), with values ranging between 0-9. Among patients with a score of 0 and no ICU needs during their emergency department stay, 93.6% remained without critical care needs. In an external validation cohort of ICH patients, the INTRINSIC score achieved an AUC of 0.823 (95% CI 0.782-0.863). A score <2 predicted absence of critical care needs with 48.5% sensitivity and 88.5% specificity, and a score <3 predicted absence of critical care needs with 61.7% sensitivity and 83.0% specificity.Conclusion:The INTRINSIC score identifies ICH patients at low risk for critical care interventions.Classification of Evidence:This study provides Class II evidence that the INTRINSIC score identifies ICH patients at low risk for critical care interventions.

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