The Family as a Source of Support for the Critically Ill Adult

1991 ◽  
Vol 2 (2) ◽  
pp. 229-235 ◽  
Author(s):  
Terri Simpson
Keyword(s):  
Coronary Care Unit ◽  
Previous Analysis ◽  
Surgical Intensive Care Unit ◽  
Transcript Analysis ◽  
Surgical Intensive Care ◽  
Illness Episode ◽  
The Family ◽  
Supportive Family ◽  
Coronary Care ◽  
Different Order

A conceptual framework of supportive family functions derived from a previous analysis of taped visits to coronary care unit (CCU) patients was used to analyze CCU and surgical intensive care unit (SICU) patients’ recollections about visits. The framework of family functions was supported by the patients’ recollections. However, CCU patients recall behaviors in a different order of frequency than previously described with visit transcript analysis. Both CCU and SICU patients frequently recall caring actions of the family and evaluated visits overall as helpful. Principles are proposed for nurses in assisting families and patients to cope with the critical illness episode and thus provide a supportive visiting environment for patients

Care of the Family in the Surgical Intensive Care Unit

2012 ◽  
Vol 30 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Leslie Steele Tyrie ◽  
Anne Charlotte Mosenthal
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
The Family

scholarly journals Risk Stratification Model for Predicting Coronary Care Unit Readmission

2021 ◽  
Author(s):  
Tien-Yu Chen ◽  
Chien-Hao Tseng ◽  
Po-Jui Wu ◽  
Wen-Jung Chung ◽  
Chien-Ho Lee ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Model Building ◽  
Coronary Care Unit ◽  
Care Quality ◽  
Receiver Operating Curve ◽  
Surgical Intensive Care ◽  
Number Of Patients ◽  
Coronary Care ◽  
Readmission Risk

Abstract Background: Use of statistical models for assessing the clinical risk of readmission to medical and surgical intensive care units is well established. However, models for predicting risk of coronary care unit (CCU) readmission are rarely reported. Therefore, this study investigated the characteristics and outcomes of patients readmitted to CCU to identify risk factors for CCU readmission and to establish a scoring system for identifying patients at high risk for CCU readmission. Methods: Medical data were collected for 40,187 patients with a history of readmission to the CCU of a single multi‐center healthcare provider in Taiwan during 2010-2019. Characteristics and outcomes were compared between a readmission group and a non-readmission group. Data were segmented at a 9:1 ratio for model building and validation.Results: The number of patients with a CCU readmission history after transfer to a standard care ward was 2397 (5.9%). The twelve factors that had the strongest associations with CCU readmission were used to develop and validate a CCU readmission risk scoring and prediction model. When the model was used to predict CCU readmission, the receiver-operating curve characteristic was 0.7217 for risk score model group and 0.7316 for the validation group. A CCU readmission risk score was assigned to each patient. The patients were then stratified by risk score into low risk (-20-5), moderate risk (6-26) and high risk (27-33) cohorts check scores, which showed that CCU readmission risk significantly differed among the three groups.Conclusions: This study developed a model for estimating CCU readmission risk. By using the proposed model, clinicians can improve CCU patient outcomes and medical care quality.

Management of Ventricular Fibrillation during Acute Myocardial Infarction

1984 ◽  
Vol 23 (04) ◽  
pp. 209-213
Author(s):  
B. J. Northover
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Ventricular Fibrillation ◽  
Coronary Care Unit ◽  
Patient Survival ◽  
Left Ventricular ◽  
Ventricular Failure ◽  
Before And After ◽  
Coronary Care ◽  
The Creation

SummaryAnalysis of electrocardiograms tape-recorded from patients admitted to hospital with acute myocardial infarction revealed that the pattern of ventricular extrasystolic activity was not significantly different among those who subsequently developed ventricular fibrillation and those who did not. Episodes of ventricular fibrillation occurred predominantly within 4 hours from the start of infarction. Patients were 3 times less likely to survive an episode of ventricular fibrillation if they also had left ventricular failure than if this feature was absent. Management of episodes of ventricular fibrillation was compared in patients before and after the creation of a specially staffed and equipped coronary care unit. The success of electric shock as a treatment for ventricular fibrillation was similar before and after the creation of the coronary care unit. An attempt was made to determine which features in the management of ventricular fibrillation in this and in previously published series were associated with patient survival.

Predictive Value of Decreasing Antithrombin III in Deep-Vein Thrombosis

1980 ◽  
Vol 44 (03) ◽  
pp. 135-137 ◽  
Author(s):  
Thorkild Lund Andreasen
Keyword(s):  
Deep Vein Thrombosis ◽  
Predictive Value ◽  
Coronary Care Unit ◽  
Antithrombin Iii ◽  
Predictive Values ◽  
Vein Thrombosis ◽  
At Iii ◽  
Coronary Care ◽  
Time Of Admission ◽  
Deep Vein

SummaryAntithrombin III (At-III) was measured at the time of admission and two days later in 131 patients laid up in a coronary care unit. The patients were examined for deep-vein thrombosis (DVT) clinically and by means of 125I-fibrinogen scanning. 19 patients developed DVT. In 11 subjects with and 25 without DVT At-III decreased more than 10%. And in 7 with and 17 without DVT At-III decreased more than 15%. One person with DVT had subnormal At-III. By using decrease of At-III or subnormal initial At-III to predict DVT the following predictive value (PV) were found. Decrease ≤ 10%, PV pos.= 0.32 and PV neg. = 0.93. Decrease ≤ 15%, PV pos. = 0.32 and PV neg. = 0.90. The positive predictive values obtained were too low to let decreasing At-III give occasion for prophylactic anticoagulant treatment.

Inter-individual variability in clopidogrel inhibition effect on platelet aggregation

2018 ◽  
Vol 9 (SPL1) ◽  
Author(s):  
Hussein Ali Sahib ◽  
Bassim Irhiem Mohammed ◽  
Ban A. Abdul Majid
Keyword(s):  
Cardiovascular Disease ◽  
Platelet Aggregation ◽  
Coronary Care Unit ◽  
Light Transmission ◽  
Individual Variability ◽  
Study Group ◽  
Inhibition Effect ◽  
Light Transmission Aggregometry ◽  
Coronary Care ◽  
Skewness And Kurtosis

Despite the unmistakable beneficial effect of clopidogrel on platelet aggregation,still there are some patient poorly responds to clopidogrel that may lead to worse cardiovascular clinical events.One hundred and twenty seven patients with cardiovascular disease (ACS,stroke,or TIA) were enrolled as a study group. Patients were recruited at coronary care unit (CCU) of Al-Yarmouk Teaching Hospital. Paletlet assessment was done by using light transmission aggregometry. between the patients that enrolled in this study there are significant inter-individual variability both skewness and Kurtosis were negative (-0.450,-0.130) respectively. 24% of patient enrolled in this study were hyporesponder.

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