Nutritional insufficiency — A common environmental extreme

Biosystems ◽  
1974 ◽  
Vol 6 (1) ◽  
pp. 62-63
Author(s):  
D.W. Tempest
Author(s):  
Sarah E. Strandjord ◽  
Erin H. Sieke ◽  
Miranda Richmond ◽  
Arjun Khadilkar ◽  
Ellen S. Rome

2014 ◽  
Vol 92 ◽  
pp. 44-54 ◽  
Author(s):  
Franck Mazas ◽  
Philippe Garat ◽  
Luc Hamm

2021 ◽  
Vol 102 (4) ◽  
pp. 446-452
Author(s):  
O V Kurchenkova ◽  
U V Kharlamova ◽  
A V Vazhenin ◽  
A O Abdalov

Aim. To study the relationship between the symptoms of nutritional insufficiency and systemic inflammation in cancer palliative patients. Methods. 106 palliative cancer patients were examined at Chelyabinsk Regional Clinical Center of Oncology and Nuclear Medicine: 54 (50.9%) men and 52 (49.1%) women aged 61 [54; 67] years. All patients underwent laboratory and instrumental examination within the approved standards of specialized medical care. Systemic inflammation was assessed by the levels of acute phase proteins (C-reactive protein, fibrinogen). The study of integrated clinical and laboratory, somatometric parameters was carried out. The nutritional risk index was assessed. Results. Palliative cancer patients showed a statistically significant decrease in the concentration of hemoglobin, lymphocytes, and albumin. The activation of systemic inflammation that manifested by hyperfibrinogenemia and an increase in the level of C-reactive protein was revealed. The study of somatometric parameters revealed a statistically significant decrease in body mass index, shoulder circumference, subscapular skinfold thickness, and a tendency to reduce lean body mass. The nutritional risk index assessment showed mild nutritional insufficiency in 22 (20.8%) of the examined patients and severe nutritional insufficiency in 28 (26.4%) patients. The maximum diagnostic significance of the level of C-reactive protein for prediction the nutritional insufficiency was achieved at 80.4% sensitivity and 52.7% specificity (AUC=0.671, 95% confidence interval [0.573; 0.759], p=0.001), which corresponded to a C-reactive protein threshold of 31 mg/l. Conclusion. 50 (47.2%) of the examined patients showed signs of nutritional insufficiency, a statistically significant decrease in hemoglobin and albumin concentration, as well as lymphocyte count, activation of systemic inflammation, manifested by hyperfibrinogenemia, and an increase in the level of C-reactive protein; it was revealed a statistically significant relationship between C-reactive protein level and malnutrition.


1959 ◽  
Vol 14 (5) ◽  
pp. 789-797 ◽  
Author(s):  
Jerry Robert Fleischner ◽  
Frederick Sargent

Two experiments were carried out to test whether or not cold-acclimatized rats adjust better to heat and heat-acclimatized rats adjust better to cold than rats not previously exposed to either environmental extreme. In both, groups of rats were exposed to 94.5°–96.5℉ (hot), 33°–40℉ (cold) and 76°–78℉ (control). In the first experiment 45 female Holtzman littermates were used. After 50 days, ‘hot’ rats were abruptly transferred to cold, ‘cold’ rats to heat. Control animals were also placed in each environment. In the second experiment 55 identical rats were similarly treated; the cross, however, was made after 29 days. Rats exposed to 95℉ exhibited sustained hypothermia. Rats exposed to 36℉ developed a transient hypothermia which lasted longer in the first experiment than in the second and was accompanied by more severe cold injury. Heat was not a stress in the sense of Selye, but cold was. There was crossed sensitization rather than crossed resistance. Submitted on January 26, 1959


2017 ◽  
Vol 8 (2) ◽  
pp. 164-171 ◽  
Author(s):  
Kevin Phan ◽  
Jun S. Kim ◽  
Joshua Xu ◽  
John Di Capua ◽  
Nathan J. Lee ◽  
...  

Study Design: Retrospective analysis of prospectively collected data. Objective: The effect of malnutrition on outcomes after general surgery has been well reported in the literature. However, there is a paucity of data on the effect of malnutrition on postoperative complications during adult deformity surgery. The study attempts to explore and quantify the association between hypoalbuminemia and postoperative complications. Methods: A retrospective cohort analysis was performed on the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database from 2010 to 2014. Patients (≥18 years of age) from the NSQIP database undergoing adult deformity surgery were separated into cohorts based serum albumin (<3.5 or >3.5 g/dL). Chi-square and multivariate logistic regression models were used to identify independent risk factors. Results: A total of 2236 patients met the inclusion criteria for the study, of which 2044 (91.4%) patients were nutritionally sufficient while 192 (8.6%) patients were nutritionally insufficient. Multivariate logistic regressions revealed nutritional insufficiency as a risk factors for mortality (odds ratio [OR] = 15.67, 95% confidence interval [CI] = 6.01-40.84, P < .0001), length of stay ≥5 days (OR = 2.22, 95% CI = 1.61-3.06, P < .0001), any complications (OR = 1.82, 95% CI = 1.31-2.51, P < .0001), pulmonary complications (OR = 2.29, 95% CI = 1.29-4.06, P = .005), renal complications (OR = 2.71, 95% CI = 1.05-7.00, P = .039), and intra-/postoperative red blood cell transfusion (OR = 1.52, 95% CI = 1.08-2.12, P = .015). Conclusions: This study demonstrates that preoperative hypoalbuminemia is a significant and independent risk factor for postoperative complications, 30-day mortality, and increased length of hospital in patients undergoing adult deformity surgery surgery. Nutritional status is a modifiable risk factor that can potentially improve surgical outcomes after adult deformity surgery.


1982 ◽  
Vol 4 (2) ◽  
pp. 151-175 ◽  
Author(s):  
Richard C. Wiggins

2016 ◽  
Vol 58 (2) ◽  
pp. S38-S39
Author(s):  
Zeyad Abdulkader ◽  
Ellen Rome ◽  
Sarah Strandjord ◽  
Alexa Nahra ◽  
Julia Sabik ◽  
...  

10.29007/jkzt ◽  
2019 ◽  
Author(s):  
Rakesh Matta ◽  
Rui Wu ◽  
Shanyue Guan

The application of statistics in extreme events detection is quite diverse and leads to diverse formulations, which needs to be designed for the specific problem. Each formula needs to be tailored specifically to work with the available data in the given situation. This diversity is one of the driving forces of this survey towards identifying the most common mixture of components utilized in the analysis of environmental outlier detection. Indeed for some arbitrary applications, it may not always be possible to use off-the-shelf models due to the wide variations in problem formulations. In this paper, we summarize the statistical methods involved in the detection of environmental extremes such as wind ramps, high precipitation and extreme temperatures. Then we organize the discussion along different outlier detection types, present various outlier definitions, and briefly introduce the corresponding techniques. Environmental extreme events detection challenges and possible future work are also discussed.


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