scholarly journals Assessment of Nutritional Status and Prognosis in Surgical Intensive Care Unit: The Prognostic and Inflammatory Nutritional Index (PINI)

2014 ◽  
Vol 3 (5) ◽  
pp. 477 ◽  
Author(s):  
Hedi Gharsallah
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Nutritional Status ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Nutritional Index

scholarly journals Nutritional status of trauma patients hospitalized at surgical intensive care unit

2020 ◽  
Vol 30 (2) ◽  
pp. 311-317
Author(s):  
Babak Hosseinzadeh Zoroufchi ◽  
Abolfazl Abdolahpour ◽  
Hamid Reza Hemmati
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Nutritional Status ◽  
Clinical Status ◽  
Surgical Intensive Care Unit ◽  
P Value ◽  
Trauma Patients ◽  
Surgical Intensive Care ◽  
Cross Sectional ◽  
Significance Level

Malnutrition results from a decrease or increase or imbalance of energy, protein and other nutrients, leading to measurable negative effects on body tissue, body shape, organ function and clinical status. Research shows that nutritional support is one of the necessary processes for survival of traumatic patient hospitalized at surgical intensive care unit. The purpose of this study is to evaluate the nutritional status of trauma patients hospitalized at surgical intensive care unit of Kowsar Hospital in Semnan, Iran. This cross-sectional descriptive study was performed on patients older than 18 years with head, neck and femur injuries. Initial data were collected using a checklist containing demographic information questions, designed from the Ministry of Health and Medical Education's Nutrition Screening Form, which was available in the Nutrition Assessment Forms and Guidelines for Hospitalized Patients Approved in 2013. The data were analyzed using Chi-square or Fisher's exact tests, paired t-test and Pearson coefficient. The confidence level was 95% and significance level was less than 0.05 in all tests. The amount of energy determined by the intensive care unit for the patients, with a significantly lower relationship than the amount of energy required by the patients for 24 hours, based on the Harris Benedict formula was (918.20±474.80 calories vs. 1535.76±243.73 calories, respectively and P-value˂0.001). The amount of protein determined by the intensive care unit for the patients for 24 hours, with a significantly relationship lower than the protein required for the patients for 24 hours, was (51.68±34.39 vs. 106.57±13.67, respectively, and P-value˂ 0.001). There was a statistically significant relationship between the age of the patients and energy (P˂0.001) and protein (P˂0.001) determined by the intensive care unit for the patients for 24 hours and energy (P˂0.001) and protein (P˂0.001) required for the patients for 24 hours. The results of this study showed that both the amount of energy and the amount of protein determined by the intensive care unit for trauma patients for less than 24 hours were lower than the required level; therefore, dietary modification for these patients is recommended.

scholarly journals Nutritional status of trauma patients hospitalized at surgical intensive care unit

2020 ◽  
Author(s):  
Babak Hosseinzadeh Zoroufchi ◽  
Abolfazl Abdolahpour ◽  
Hamid Reza Hemmati
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Nutritional Status ◽  
Clinical Status ◽  
Surgical Intensive Care Unit ◽  
P Value ◽  
Trauma Patients ◽  
Surgical Intensive Care ◽  
Cross Sectional ◽  
Significance Level

Malnutrition results from a decrease or increase or imbalance of energy, protein and other nutrients, leading to measurable negative effects on body tissue, body shape, organ function and clinical status. Research shows that nutritional support is one of the necessary processes for survival of traumatic patient hospitalized at surgical intensive care unit. The purpose of this study is to evaluate the nutritional status of trauma patients hospitalized at surgical intensive care unit of Kowsar Hospital in Semnan, Iran. This cross-sectional descriptive study was performed on patients older than 18 years with head, neck and femur injuries. Initial data were collected using a checklist containing demographic information questions, designed from the Ministry of Health and Medical Education's Nutrition Screening Form, which was available in the Nutrition Assessment Forms and Guidelines for Hospitalized Patients Approved in 2013. The data were analyzed using Chi-square or Fisher's exact tests, paired t-test and Pearson coefficient. The confidence level was 95% and significance level was less than 0.05 in all tests. The amount of energy determined by the intensive care unit for the patients, with a significantly lower relationship than the amount of energy required by the patients for 24 hours, based on the Harris Benedict formula was (918.20±474.80 calories vs. 1535.76±243.73 calories, respectively and P-value˂0.001). The amount of protein determined by the intensive care unit for the patients for 24 hours, with a significantly relationship lower than the protein required for the patients for 24 hours, was (51.68±34.39 vs. 106.57±13.67, respectively, and P-value˂ 0.001). There was a statistically significant relationship between the age of the patients and energy (P˂0.001) and protein (P˂0.001) determined by the intensive care unit for the patients for 24 hours and energy (P˂0.001) and protein (P˂0.001) required for the patients for 24 hours. The results of this study showed that both the amount of energy and the amount of protein determined by the intensive care unit for trauma patients for less than 24 hours were lower than the required level; therefore, dietary modification for these patients is recommended.

scholarly journals 1825. Optimizing β-lactam Therapy in Surgical Intensive Care Unit Patients Using Therapeutic Drug Monitoring

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S40-S41
Author(s):  
Mohammad H Al-Shaer ◽  
Eric Rubido ◽  
Daniel Lee ◽  
Kenneth Klinker ◽  
Charles Peloquin
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Therapeutic Drug Monitoring ◽  
Drug Monitoring ◽  
Clinical Cure ◽  
Surgical Intensive Care Unit ◽  
Therapeutic Drug ◽  
Surgical Intensive Care ◽  
Days Of Therapy ◽  
Unit Increase

Abstract Background Therapeutic drug monitoring (TDM) is a powerful tool to optimize antibiotic exposure. It seldom has been used for β-lactams (BLs). We present our BL data in patients admitted to the surgical intensive care unit (SICU). Methods This retrospective study included SICU patients at UF Health (2016 and 2018) who received BL therapy and had TDM. Data collected included demographics, APACHE scores, platelet count, serum creatinine (Scr), infection source, cultures/susceptibilities, BL regimens, and plasma concentrations. Clinical cure was defined as resolution of infection-related symptoms at the end of therapy. Microbiologic eradication was defined as eradication of causative organism from the primary source out to 30 days after therapy. Pharmacokinetic and statistical analyses were performed on Phoenix v8.0 and JMP Pro v14. Results A total of 127 patients were included. Table 1 shows the baseline characteristics. The median age was 55 years, and weight was 83 kg. Eighty-three (65%) were male. P. aeruginosa was the most common isolated bacteria (n = 38). Lung was the most common source of infection (n = 50). Table 2 summarizes the median (IQR) doses, infusion times, calculated free trough concentrations (fCmin) of common BLs, and the reported minimum inhibitory concentrations (MICs). Calculated median time above the MIC (fT > MIC) for 66 (52%) patients was 100%. A total of 99 (79%) patients had clinical cure and 67 (61%) patients had microbiologic eradication. For efficacy, the Cmin/MIC ratio predicted the microbiologic eradication in wound infections only (n = 15, OR 1.09 [95% CI 1.01–1.24]). Using stepwise regression, 1-unit increase fT > MIC and APACHE score was associated with 0.84 decrease (P = 0.03) and 0.62 increase (P = 0.004) in days of therapy, respectively. For safety, Figure 2 shows the increase in Scr vs. BL free area under the concentration–time curve from time zero to end of the dosing interval (fAUC0-tau). Cefepime fAUC0-tau predicted neurotoxicity (OR per 20 unit increase 1.08 [95% CI: 1.01–1.18]). Conclusion In SICU patients, increase in fT > MIC was associated with shorter treatment duration, and fAUC0-tau increase was associated with an increase in Scr and incidence of neurotoxicity. TDM is warranted in this population to optimize therapy. Disclosures All Authors: No reported Disclosures.

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