| Literature DB >> 29169388 |
James Dayre McNally1,2, Nassr Nama3, Katie O'Hearn4, Margaret Sampson5, Karin Amrein6, Klevis Iliriani7, Lauralyn McIntyre8, Dean Fergusson9, Kusum Menon5,10.
Abstract
BACKGROUND: Vitamin D deficiency (VDD) has been hypothesized not only to be common but also to represent a potentially modifiable risk factor for greater illness severity and clinical outcome during critical illness. The objective of this systematic review was to determine the frequency of VDD in pediatric critical illness and its association with clinical outcomes.Entities:
Keywords: Meta-analyses; Mortality; Nutrition; Pediatrics; Systematic review; Vitamin D
Mesh:
Year: 2017 PMID: 29169388 PMCID: PMC5701429 DOI: 10.1186/s13054-017-1875-y
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 9.097
Fig. 1Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram of study selection based on inclusion and exclusion criteria. The stages of a systematic selection scheme include identification, screening, eligibility, and final included studies. ICU Intensive care unit, VLBW Very low birth weight, NICU Neonatal intensive care unit, HSCT Hematopoietic stem cell transplant, ALRI Acute lower respiratory infection
Characteristics of study setting, population, and vitamin D levels
| First author, year [reference] | Country | Age (major inclusions) | Major exclusionsa | Sample size | NOS | Control population |
|---|---|---|---|---|---|---|
| Gauthier, 1990 [ | United States | Under 18 years | Renal | 45 | 4 | Yes |
| Madden, 2012 [ | United States | Under 21 years | Postoperative (cardiac) | 511 | 9 | No |
| McNally, 2012 [ | Canada | Under 17 years | None | 326 | 8 | No |
| Rippel, 2012 [ | Australia | Age not specified | Liver, renal, bone, 22q11 | 316 | 8 | No |
| Ayulo, 2014 [ | United States | 1–21 years | None | 216 | 6 | No |
| Dayal, 2014 [ | India | 0.25–12 years | Renal, liver, malabsorption | 92 | 7 | No |
| Hebbar, 2014 [ | United States | 0–18 years | Renal, malabsorption, postoperative (elective) | 61 | 6 | Yes |
| Rey, 2014 [ | Spain | Under 16 years | None | 156 | 8 | Yes |
| Korwutthikulrangsri, 2015 [ | Thailand | 0–18 years | Liver | 32 | 7 | Yes |
| Onwuneme, 2015 [ | Ireland | Under 12 years (sepsis) | Postoperative (cardiac) | 120 | 8 | Yes |
| Prasad, 2015 [ | India | 2 months to 12 years (medical) | None | 80 | 8 | No |
| Ebenezer, 2016 [ | India | Age not specified | None | 52 | 7 | No |
| Ponnarmeni, 2016 [ | India | 1–12 years (sepsis) | Preexisting disease, vitamin D | 124 | 7 | Yes |
| Bustos, 2016 [ | Chile | 0–15 years | Liver, kidney disease | 90 | 9 | No |
| García-Soler, 2017 [ | Spain | 6 months to 15 years | Renal, parathyroid, malabsorption, vitamin D | 340 | 8 | No |
| Sankar, 2016 [ | India | 1 month to 17 years | Renal, rickets, vitamin D | 101 | 8 | No |
| Shah, 2016 [ | India | 1 month to 15 years | Rickets, parathyroid, renal | 154 | 6 | No |
NOS Newcastle-Ottawa Scale
aMajor exclusions considered were admission categories (medical, surgical); vitamin D supplementation; renal, parathyroid, or liver disease; malabsorption syndrome; rickets; or genetic conditions associated with impaired vitamin D axis (e.g., 22q11)
Vitamin D status at pediatric intensive care unit admission (or first day in pediatric intensive care unit) for critically ill children and healthy control subjects
| First author, year [reference] | Threshold VDD (nmol/L) | PICU cohort | Control cohort | ||||
|---|---|---|---|---|---|---|---|
| %VDD | Average 25(OH)D (nmol/L)a | Mortality % ( | ( | %VDD | Average 25(OH)D (nmol/L)a | ||
| Gauthier, 1990 [ | 22.5 | NR | 66.8d (±20) | 11 (5/45) | 12 | NR | 82.5d (±25) |
| Madden, 2012 [ | 50 | 40 | 56.3 (41–78.3) | 3 (13/511) | |||
| McNally, 2012 [ | 50 | 69 | 43.2d (±19.4) | 2 (5/326) | |||
| Rippel, 2012 [ | 50 | 34 | 56.6 (44–70) | 3 (10/316) | |||
| Ayulo, 2014 [ | 37.5e | 28 | NR | 3 (6/216) | |||
| Dayal, 2014 [ | 50 | 25 | 71.9d (±27.3) | 7 (6/92) | |||
| Hebbar, 2014 [ | 50 | 61 | 59d (±43) | NR | 42 | 23.9 | 99d (±55) |
| Rey, 2014 [ | 50 | 30 | 65 (48–89.5) | 3 (4/156)f | 289 | 16% | 76.3 (58–96.5) |
| Korwutthikulrangsri, 2015 [ | 50 | 78 | 41.5 (33.3–48.8) | 19 (6/32) | 36 | 19.5 | 61d (±12) |
| Onwuneme, 2015 [ | 50 | 59 | 47d (±29) | 2 (2/120)f | 30 | NR | 66d (±26) |
| Prasad, 2015 [ | 50 | 84 | 30.3 (22.5–45) | 19 (15/80) | |||
| Ebenezer, 2016 [ | 50 | 40 | 62.8 (40.5–85.5) | 19 (10/52) | |||
| Ponnarmeni, 2016 [ | 50 | 51 | 49.3d (±30) | 15 (19/124) | 338 | 40.2% | 68.7d (±40) |
| Bustos, 2016 [ | 50 | 43 | 57.0d (±24) | 4 (4/90) | |||
| García-Soler, 2017 [ | 50 | 44 | 57.0d (±26) | 3 (10/340) | |||
| Sankar, 2016 [ | 50 | 74 | 14.5 (10–20) | 31 (31/101) | |||
| Shah, 2016 [ | 50 | 83 | 29.3 (7–40) | 44 (68/154) | |||
Abbreviations: 25(OH)D 25-Hydroxyvitamin D, NR Not reported, PICU Pediatric intensive care unit, VDD Vitamin D deficiency
aAverage reported as median with IQR unless otherwise specified as mean
bTotal number of PICU patients enrolled for which a measure of vitamin D status was available
cTotal number of control patients enrolled for which a measure of vitamin D status was available
dWith SD (±SD)
eDid not respond to a request for vitamin D status and outcome data categorized using the 50 nmol/L threshold
fData provided by authors outside of publication
Fig. 2Pooled vitamin D deficiency event rate using 50 nmol/L as the threshold to define vitamin D deficiency
Fig. 3Association of vitamin D deficiency and mortality. The pooled OR was also statistically significant when analyzed using the Mantel-Haenszel or Peto OR
Fig. 4Interaction between overall study mortality rate and impact of vitamin D deficiency on mortality. Metaregression analysis confirming the interaction between baseline mortality rate and impact of vitamin D deficiency on mortality. Significantly higher odds of death were evident in patients with vitamin D deficiency originating from studies with lower mortality (p = 0.02). Size of the data markers indicates the weight of the study, with larger circles indicating smaller studies
Illness severity, organ dysfunction, and clinical outcomes
| First author, year [reference] | Mortality | MV | Vasoactive | Illness severity/organ dysfunction | Ca2+ | Hospital/PICU LOS | Other outcomes |
|---|---|---|---|---|---|---|---|
| Gauthier, 1990 [ | No | No | No | No | Yes | No | None |
| Madden, 2012 [ | Yes | Yes | Yes/SOFA | PRISM III | No | No | Fluid, severe septic shock, positive culture |
| McNally, 2012 [ | Yes | Yes | Yes | PRISM III | Yes | PICU | Fluid bolus |
| Rippel, 2012 [ | Yes | Yes | Yes | PIM2 | Yes | PICU/Hospital | ECMO, hypotension, arrhythmia, arrest |
| Ayulo, 2014 [ | Yes | No | No | PELODa | Yes | No | Fluid |
| Dayal, 2014 [ | Yes | Yes | Yes | No | No | Hospital | Nosocomial sepsis |
| Hebbar, 2014 [ | No | No | Yes | PRISM III, PELOD, SOFA | No | No | Sepsis, shock, antimicrobial peptide |
| Rey, 2014 [ | Noa | Yes | Yes | PRISM III/PIM2 | No | PICU | Platelets, CRP |
| Korwutthikulrangsri, 2015 [ | Yes | Yes | Yes | PRISM III | Yes | PICU | Septicemia, shock, adrenal insufficiency, CRP |
| Onwuneme, 2015 [ | Noa | Yes | Yes | PIM2 | No | PICU | Shock, fluid, culture-positive sepsis, CRP, platelets, RRT |
| Prasad, 2015 [ | Yesb | Yes | Yesb | PRISM III | Yes | PICU/Hospitalb | Coagulopathy, culture-positive sepsis |
| Ebenezer, 2016 [ | Yes | Yes | Yes/SOFA | PIM2 | Yes | PICU | Positive culture, CRP |
| Ponnarmeni, 2016 [ | Yes | Yes | Yes | PRISM III/SOFA/MODS | Yes | PICU | Septic shock, positive culture |
| Bustos, 2016 [ | Yes | Yes | Yes | PRISM III/PELOD | Yes | PICU/Hospital | Septic shock, fluid, RRT, CRP, PCT, platelets |
| García-Soler, 2017 [ | Yes | Yes | Yes | PRISM III | Yes | PICU | Platelets, CRP, PCT, full course of antibiotics, morbidityc |
| Sankar, 2016 [ | Yes | Yes | Yes | PIM2/PELOD | Yes | PICU | Fluid |
| Shah, 2016 [ | Yes | Yes | No | PIM2 | Yes | PICU | Severe sepsis, liver failure, ARDS, RRT |
| Total | 13 | 14 | 14 | 15 | 12 | 12/3 | Positive culture ( |
Abbreviations: ARDS Acute respiratory distress syndrome, CRP C-reactive protein, ECMO Extracorporeal membrane oxygenation, LOS Length of stay, MV Mechanical ventilation, PICU Pediatric intensive care unit, PELOD Pediatric logistic organ dysfunction score, PRISM III Pediatric Risk of Mortality, SOFA Sequential Organ Failure Assessment, RRT Renal replacement therapy, PCT Procalcitonin
aResponded to request for mortality data
bComment only; data not shown
cHad a composite morbidity outcome that included mortality, use of vasoactive agents for longer than 24 h, more than 7 days of antibiotics, need for parenteral nutrition, continuous renal replacement therapy
Relationship between vitamin D deficiency status and markers of illness severity and intensive care unit outcome
| ICU outcome or intervention | Pooled OR (95% CI) | |||
|---|---|---|---|---|
| All studies | Developed countries | Developing countries |
| |
| Mortality | 1.62 (1.08–2.44) | 2,52 (1.37–4.60) | 1.12 (0.71–1.78) | 0.04 |
| Mechanical ventilation | 1.83 (1.28–2.63) | 1.92 (1.23–3.01) | 1.69 (0.85–3.37) | 0.74 |
| Vasopressor use | 1.97 (1.49–2.61) | 2.22 (1.54–3.21) | 1.52 (0.93–2.50) | 0.29 |
| Infection (bacterial/nosocomial) | 2.21 (1.50–3.25) | 2.49 (1.41–4.38) | 1.77 (0.94–3.33) | 0.55 |
Pooled OR from random effects meta-analysis evaluating the relationship between vitamin D status and established markers of illness severity, intervention, and outcome in the pediatric intensive care unit setting
aMetaregression was used to evaluate whether the pooled ORs were statistically different between developed and developing countries