scholarly journals Usefulness of Cardiac Index to Predict Early and 30-Day Mortality in Non-Cardiac Patients Being Admitted to Intensive Care Units

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Vahan Moradians ◽  
Seyed Ali Javad Moosavi ◽  
Mohammad Niyakan Lahiji ◽  
Maryam Izadi
Keyword(s):  
Cardiac Output ◽  
Intensive Care ◽  
Cardiac Index ◽  
Surface Area ◽  
Intensive Care Units ◽  
Body Surface ◽  
Simplified Acute Physiology Score ◽  
The Body ◽  
Acute Physiology Score ◽  
Cardiac Patients

Introduction: Cardiac index is a hemodynamic parameter defined as the ratio of the cardiac output, i.e., the volume of blood ejected from the left ventricle in 1 min, to the body surface area. This study aimed to assess the cardiac index to predict early and 30-day outcomes of non-cardiac patients being admitted to intensive care units using a non-invasive approach. Materials and Methods: This prospective cohort study included 31 non-cardiac patients who were consecutively admitted to the intensive care units of Rasoul-e-Akram Hospital, Tehran, Iran, in 2016. On admission, the simplified acute physiology score II to predict mortality and the cardiac output (by two-dimensional echocardiography) of each patient were determined. The cardiac index was calculated by dividing the cardiac output by the body surface area. In-hospital mortality and complications were assessed, and the association between simplified acute physiology score II and cardiac index was determined. The patients were followed-up 30 days after discharge by telephone to determine late death, occurrence of myocardial infarction, readmission, or re-hospitalization. Results: The mean cardiac index was significantly lower among the patients who died in intensive care units than in those who survived (2.86 ± 0.63 versus 3.70 ± 0.49, p = 0.006). A significant inverse association was found between Simplified Acute Physiology Score II and cardiac index (r = −0.539, p = 0.002). The length of hospital and intensive care units stay was not associated with Simplified Acute Physiology Score -II or cardiac index. The receiver operating characteristic curve analysis revealed that the cardiac index was effective in predicting in intensive care units mortality (area under curve = 0.857, p = 0.007). The best cut-off value for the cardiac index to predict in intensive care units mortality was 3.35, yielding a sensitivity of 83.3% and a specificity of 80.0%. Conclusion: Measuring the cardiac index during intensive care units admission using a noninvasive approach even in non-cardiac patients can predict in intensive care units mortality with high sensitivity and specificity.

External validation of the Simplified Acute Physiology Score (SAPS) 3 in a cohort of 28,357 patients from 147 Italian intensive care units

2009 ◽  
Vol 35 (11) ◽  
pp. 1916-1924 ◽  
Author(s):  
Daniele Poole ◽  
Carlotta Rossi ◽  
Abramo Anghileri ◽  
Michele Giardino ◽  
Nicola Latronico ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
External Validation ◽  
Simplified Acute Physiology Score ◽  
Acute Physiology Score ◽  
Saps 3

scholarly journals Simplified Acute Physiology Score II as Predictor of Mortality in Intensive Care Units: A Decision Curve Analysis

PLoS ONE ◽  
2016 ◽  
Vol 11 (10) ◽  
pp. e0164828 ◽  
Author(s):  
Jérôme Allyn ◽  
Cyril Ferdynus ◽  
Michel Bohrer ◽  
Cécile Dalban ◽  
Dorothée Valance ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Simplified Acute Physiology Score ◽  
Curve Analysis ◽  
Acute Physiology Score ◽  
Decision Curve Analysis

SYSTEMIC BLOOD FLOW IN INFANTS AND CHILDREN WITH AND WITHOUT HEART DISEASE

PEDIATRICS ◽  
1963 ◽  
Vol 32 (2) ◽  
pp. 186-201
Author(s):  
Glen G. Cayler ◽  
Abraham M. Rudolph ◽  
Alexander S. Nadas
Keyword(s):  
Cardiac Output ◽  
Heart Disease ◽  
Cardiac Index ◽  
Surface Area ◽  
Body Surface Area ◽  
Body Surface ◽  
Close Correlation ◽  
Significant Difference ◽  
Normal Increase ◽  
Response To Exercise

A technique for measuring cardiac output by the Fick method in small infants during cardiac catheterization is described. Data on resting oxygen consumption, arteriovenous oxygen difference and systemic cardiac output is presented for a group of 126 subjects composed mainly of infants and young children with congenital heart disease. It was found that (a) there was no significant difference in mean resting cardiac index for patients with body surface area under 1.0 square meter regardless of the presence of, or the severity of, heart disease, and (b) patients with heart disease who were larger than 1.0 square meter had significantly lower mean cardiac indices and higher arteriovenous oxygen differences than the control patients. An excellent linear correlation of cardiac output to body surface area was found. There was also a close correlation between index and regression lines for cardiac output leading support to the validity of the cardiac index concept for comparing cardiac outputs in various sized patients. The normal increase in cardiac output during exercise is greater for children than for adults. Forty-seven per cent (8 of 17) children with heart disease showed low cardiac output response to exercise.

The use of Body Surface Index as a Better Clinical Health indicators Compare to Body Mass Index and Body Surface Area for Clinical Application

2018 ◽  
pp. 131-136
Author(s):  
Shirazu I. ◽  
Theophilus. A. Sackey ◽  
Elvis K. Tiburu ◽  
Mensah Y. B. ◽  
Forson A.
Keyword(s):  
Surface Area ◽  
Body Surface Area ◽  
Clinical Application ◽  
Body Surface ◽  
Body Height ◽  
Health Indicators ◽  
The Body ◽  
Body Parameters ◽  
The Relationship ◽  
Individual Body

The relationship between body height and body weight has been described by using various terms. Notable among them is the body mass index, body surface area, body shape index and body surface index. In clinical setting the first descriptive parameter is the BMI scale, which provides information about whether an individual body weight is proportionate to the body height. Since the development of BMI, two other body parameters have been developed in an attempt to determine the relationship between body height and weight. These are the body surface area (BSA) and body surface index (BSI). Generally, these body parameters are described as clinical health indicators that described how healthy an individual body response to the other internal organs. The aim of the study is to discuss the use of BSI as a better clinical health indicator for preclinical assessment of body-organ/tissue relationship. Hence organ health condition as against other body composition. In addition the study is `also to determine the best body parameter the best predict other parameters for clinical application. The model parameters are presented as; modeled height and weight; modelled BSI and BSA, BSI and BMI and modeled BSA and BMI. The models are presented as clinical application software for comfortable working process and designed as GUI and CAD for use in clinical application.

scholarly journals Validation of the Simplified Acute Physiology Score 3 Scoring System in a Korean Intensive Care Unit

2011 ◽  
Vol 52 (1) ◽  
pp. 59 ◽  
Author(s):  
So Yeon Lim ◽  
Cho Rom Ham ◽  
So Young Park ◽  
Suhyun Kim ◽  
Maeng Real Park ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Scoring System ◽  
Simplified Acute Physiology Score ◽  
Acute Physiology Score

scholarly journals Microvilli on the External Surfaces of Gastropod Tentacles and Body-Walls

1963 ◽  
Vol s3-104 (68) ◽  
pp. 495-504
Author(s):  
NANCY J. LANE
Keyword(s):  
Free Surface ◽  
Surface Area ◽  
Body Surface ◽  
Body Wall ◽  
Free Cell ◽  
The Body ◽  
Outer Cell ◽  
Lamellar Bodies ◽  
Cell Surfaces ◽  
Histochemical Tests

In Helix aspersa the ‘cuticle’ on the free surface of the external epithelial cells of the optic tentacles has been shown to consist of a layer of microvilli. Microvilli are also present in the same species on the free cell borders of the body-wall, and in the slug Arion hortensis, on the outer cell surfaces of the external epithelium. In all three cases the microvilli are arranged in a hexagonal pattern. There are indications that branching may possibly occur. The microvilli have granular cores with cross- and longitudinal-striations and there are fibrillar connexions between their tips. On the tentacular and body surfaces of H. aspersa, the microvilli increase the surface area 15 and 12 times, respectively. On A. hortensis the increase in surface area is only 4 times. In H. aspersa, beneath the microvilli on the tips of the optic tentacles there is a layer, about 3 to 4 µ deep, composed of vertical, horizontal, and tangential fibres. Some of these fibres are attached to lamellar bodies, which may have a lipid content. Granules are also found among the fibres. Further, a greater depth of cuticle is found to be present on the tips of the inferior tentacles of H. aspersa than on their sides; this seems to indicate that a fibrillar layer, similar to that on the optic tentacles, may lie beneath the cuticle of microvilli on the tips of the inferior tentacles. A thicker cuticle is also found on the tips of the optic tentacles in other stylommatophoran pulmonates. It has not been found possible to ascertain whether the fibrillar layer is intracellular or extracellular, although the evidence points to the latter. Histochemical tests indicate that mucopolysaccharide is present on the surface of the cuticle. Electron micrographs show a granular precipitate caught on and between the fibrillae connecting the tips of the microvilli. It is suggested that the function of the microvilli is to hold the mucous secretions on the body-surface, which would give protection to the animals.

Correlation between the Minimal Cross-Sectional Area of the Nasal Cavity and Body Surface Area: Preliminary Results in Normal Patients

2002 ◽  
Vol 16 (4) ◽  
pp. 209-213 ◽  
Author(s):  
Martin Jurlina ◽  
Ranko Mladina ◽  
Krsto Dawidowsky ◽  
Davor Ivanković ◽  
Zeljko Bumber ◽  
...  
Keyword(s):  
Surface Area ◽  
Body Surface Area ◽  
Body Surface ◽  
Anterior Part ◽  
Inferior Turbinate ◽  
Objective Evaluation ◽  
Cross Sectional Area ◽  
The Body ◽  
Sectional Area ◽  
Cross Sectional

Nasal symptoms often are inconsistent with rhinoscopic findings. However, the proper diagnosis and treatment of nasal pathology requires an objective evaluation of the narrow segments of the anterior part of the nasal cavities (minimal cross-sectional area [MCSA]). The problem is that the value of MCSA is not a unique parameter for the entire population, but rather it is a distinctive value for particular subject (or smaller groups of subjects). Consequently, there is a need for MCSA values to be standardized in a simple way that facilitates the comparison of results and the selection of our treatment regimens. We examined a group of 157 healthy subjects with normal nasal function. A statistically significant correlation was found between the body surface area and MCSA at the level of the nasal isthmus and the head of the inferior turbinate. The age of subjects was not found a statistically significant predictor for the value of MCSA. The results show that the expected value of MCSA can be calculated for every subject based on anthropometric data of height and weight.

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