| Literature DB >> 29201115 |
Amir Ebrahim Miroliaee1, Jamshid Salamzadeh1, Shervin Shokouhi2, Alireza Fatemi3, Seyed Hossein Ardehali4, Mohammad Reza Hajiesmaeili5, Zahra Sahraei1.
Abstract
Ventilator-associated pneumonia (VAP) is a common and serious problem that develops after more than 48 h of mechanical ventilation. Improving the activity of immune system with vitamin D, and its consequent impact on prognostic biomarkers of VAP was studied in the current study. A randomized double blind placebo controlled clinical trial was designed. A total of 46 patients with VAP, who were suffering from vitamin D deficiency, were randomly allocated into the study groups of placebo (n=22) and treatment (n=24) The treatment group received 300,000 units of intramuscular vitamin D. Serum levels of procalcitonin and vitamin D along with SOFA and CPIS scores were determined at baseline and on day 7 after intervention. The mortality rate of patients was also monitored for the succeeding 28 days after the injection. The administration of vitamin D significantly enhanced its levels (P<0.0001) in the treated patients (12.28 ± 8.26) in comparison to placebo group (1.15 ± 1.50). The levels of PCT were significantly decreased (p=0.001) in the treatment group (- 0.02 ± 0.59 ng/mL) compared to that of placebo group (0.68 ± 1.03 ng/mL). However, changes in (SOFA) and CPIS scores were not significantly different between study groups (p=0.63 and p=0.32, respectively). Interestingly, the mortality rate of patients in the treatment group (5/24) was significantly lower (p=0.04) than that of the placebo group (11/22). In conclusion, our results indicate that vitamin D supplementation can significantly reduce the procalcitonin in (VAP) patients, and must be considered as a preventive and/or therapeutic strategy.Entities:
Keywords: CPIS score; Procalcitonin; SOFA score; VAP; Vitamin D
Year: 2017 PMID: 29201115 PMCID: PMC5610782
Source DB: PubMed Journal: Iran J Pharm Res ISSN: 1726-6882 Impact factor: 1.696
Figure 1Flow chart of the trial
The demographic and baseline study variables in the study groups
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| Age (year) | 56.45 ± 20.70 | 57.83 ± 18.84 | 0.68 | - |
| Gender | 13 (M), 9 (F) | 16 (M), 8 (F) | 0.6 | - |
| Weight (Kg) | 70.73 ± 7.66 | 74.58 ± 11.01 | 0.18 | [–9.54, 1.83] |
| Vitamin D (ng/mL) | 19.5 ± 4.60 | 17.12± 6.11 | 0.15 | [–0.86, 5.61] |
| SOFA score | 7 ± 1.70 | 7 ± 1.02 | 0.63 | - |
| CPIS score | 7.64 ± 0.79 | 7.83 ± 0.76 | 0.32 | - |
| PCT (ng/ mL) | 0.67 ± 0.88 | 0.53 ± 0.61 | 0.91 | - |
| APACHE II score | 21.45 ± 5.69 | 25.12 ± 4.49 | 0.02 | [–6.70, -0.63] |
| WBC (count/ mL) | 13153.5 ±5742.7 | 10357.1± 4484.5 | 0.8 | [-5982.1, 387.4] |
| Temperature (°C) | 37.77 ± 0.77 | 38.1 ± 0.75 | 0.81 | [-.2, 0.74] |
SD: Standard Deviation; M: Male; F: Female; Kg: Kilogram; ng: Nanogram; mL: Milliliter; WBC: White blood cell; °C: Degree Celsius.
Figure 2Numbers of patients in each vitamin D level in placebo group at baseline and at 7th day of treatment.
Figure 3Numbers of patients in each vitamin D level in treatment group at baseline and at 7th day of treatment
Procalcitonin levels in the treatment and placebo groups at baseline and at the 7th day after vitamin D administration
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| Procalcitonin baseline (ng/mL) | 0.67 ± 0.88 | 0.53 ± 0.61 ng/mL | P=0.91 |
| Procalcitonin 7th day (ng/mL) | 1.12 ± 1.40 | 0.39 ± 0.63 | P= 0.001 |
| Procalcitonin difference (ng/mL) | 0.68 ± 1.03 | – 0.02 ± 0.59 | P=0.001 |
Figure 4Procalcitonin plasma level from baseline till the 7th day after vitamin D administration. (Mean ±SE
Differences of study outcomes between study groups at baseline and the 7th day after vitamin D administration. (Mean ± SD
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| SOFA score | 0.58 ± 1.25 | 0.09 ± 2.60 | P= 0.37 |
| CPIS score | 1.92 ± 1.53 | 1.5 ± 1.80 | P= 0.46 |
| WBC | 3714.3 ± 3900 | 2077 ± 6582 | P= 0.57 |
| Temperature (°C) | .99 ± 1.1 | .03 ± 1.3 | P= 0.2 |
Data analyzed by Mann-whitney
or T-test (SOFA) Sequential organ failure assessment; CPIS: Clinical pulmonary infection score; WBC: White blood cell; °C: Degree Celsius.
The dominant microorganisms causing infection in the study groups
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| 8 | 0.4 | 10 |
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| 3 | 0.7 | 4 |
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| 5 | 0.4 | 2 |
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| 2 | 1 | 2 |
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| 2 | 1 | 1 |
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| 4 | 1 | 3 |
Data analyzed by the Fisher’s exact test
or Chi- square test