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__NOTOC__
__NOTOC__
{{Vitamin D deficiency}}
{{CMG}} {{AE}} {{SSH}}


==Overview==
[[Sandbox: wdx]]
Vitamin D deficiency is common worldwide and the incidence is increasing in the recent years. In the US, vitamin D deficiency is more prevalent among non-white ethnic groups.  The prevalence is different based on different laboratory methods and the cut-off for the vitamin D deficiency.


==Epidemiology and Demographics==
[[Xyz]]
===Prevalence===
 
* According to [[Institute of Medicine]] (IOM), based on the National Health and Nutrition Examination Survey (NHANES) 2003–2006, there is an overall 18.8% prevalence of serum 25OHD concentrations below 40 nmol/L in the US. <ref name="urlProportion of the Population Above and Below 40 nmol/L Serum 25-Hydroxyvitamin D Concentrations and Cumulative Distribution of Serum 25-Hydroxyvitamin D Concentrations: United States and Canada - Dietary Reference Intakes for Calcium and Vitamin D - NCBI Bookshelf">{{cite web |url=https://www.ncbi.nlm.nih.gov/books/NBK56054/ |title=Proportion of the Population Above and Below 40 nmol/L Serum 25-Hydroxyvitamin D Concentrations and Cumulative Distribution of Serum 25-Hydroxyvitamin D Concentrations: United States and Canada - Dietary Reference Intakes for Calcium and Vitamin D - NCBI Bookshelf |format= |work= |accessdate=}}</ref>
[[Abc]]
# [[Sandbox:Preeti]]
# [[Lymphoma]]
# [[Breast lumps differential diagnosis]]
# [[Neck masses differential diagnosis]]
# [[Leukemia]]
{| class="wikitable"
{| class="wikitable"
! colspan="6" style="text-align: center; font-weight: bold;" | Prevalence of serum vitamin D concentrations below 40 nmol/l
|+
|-
| colspan="2" |[[:Category:Risk calculator]]
[[Category:Risk calculator]]
|-
| colspan="2" |[[Deep vein thrombosis assessment of clinical probability and risk scores]]
|-
| colspan="2" |[[Pulmonary embolism assessment of clinical probability and risk scores]]
|-
|-
| style="text-align: center; font-weight: bold;" |
|[[Padua prediction score]]
| style="text-align: center; font-weight: bold;" | Total
|[[widget:PaduaVTEscore]]
| style="text-align: center; font-weight: bold;" | Non-Hispanic White
| style="text-align: center; font-weight: bold;" | Non-Hispanic Black
| style="text-align: center; font-weight: bold;" | Mexican American
| style="text-align: center; font-weight: bold;" | Others
|-
|-
| style="text-align: center; font-weight: bold;" | Percent
|[[IMPROVE risk score calculator]]
| style="text-align: center;" | 18.8 (16.3–21.5)
|[[Widget:IMPROVEScore]]
| style="text-align: center;" | 10.6 (8.9–12.4)
|-
| style="text-align: center;" | 53.6 (48.9–58.2)
|[[IMPROVEDD risk score calculator]]
| style="text-align: center;" | 27.2 (22.8–32.0)
|[[Widget:IMPROVEDDScore]]
| style="text-align: center;" | 27.2 (23.2–31.7)
|-
|[[Caprini score calculator]]
|[[Widget:CapCal]]
|-
|[[Wells score calculator for DVT]]
|[[Widget:DVT Wells score calculator]]
|-
|[[Modified Wells score calculator for DVT]]
|[[Widget:DVT Modified Wells score calculator]]
|-
|[[Pulmonary embolism Wells score calculator]]
|[[widget:PE_calculator]]
|-
|[[Pulmonary embolism modified Wells score calculator]]
|[[Widget:PE Modified Wells score calculator]]
|-
|[[AMUSE score calculator]]
|[[Widget:AMUSE_score_calculator]]
|-
|[[HAMILTON score calculator]]
|[[Widget:HAMILTON_score_calculator]]
|-
|[[Geneva score calculator]]
|[[Widget:Geneva_score_calculator]]
|-
|[[Revised Geneva score calculator]]
|[[Widget:Revised_Geneva_score_calculator]]
|-
|[[Simplified Geneva Score calculator]]
|[[Widget:Simplified_Geneva_score_calculator]]
|-
|[[TIMI Risk Score for Unstable Angina or NSTEMI]]
|[[Widget:TIMI_UA_NSTEMI]]
|-
|[[TIMI Risk Score for STEMI]]
|[[Widget:TIMI_STEMI]]
|-
|[[Tygerberg score]]
|[[widget:Tygerberg_score]]
|-
|[[CHA2DS2-VASc Score]]
|[[Widget:CHA2DS2VASc]]
|-
|[[CHADS2 score]]
|[[Widget:CHADS2score]]
|-
|[[HAS-BLED score]]
|[[Widget:HASBLEDscore]]
|-
|[[The GRACE risk score]]
|[[Widget:GRACEscore]]
|-
|
|
|-
|[[Ranson criteria]]
[[Acute pancreatitis diagnostic criteria]]
|[[Widget:RansonScore]]
|-
|[[Apgar score]]
|[[Widget:Apgarscore]]
|-
|[[Glasgow coma scale]]
|[[Widget:Adult_GCS]]
|-
|[[Pediatric Glasgow Coma Scale]]
|[[Widget:PGCS]]
|-
|[[Cincinnati stroke scale]]
|[[Widget:Cincinnati_Stroke_Scale]]
|-
|[[DIPSS Plus Score]]
|[[Widget:DIPSS_Plus_Score]]
|-
| colspan="2" |[[ICU scoring systems]]
|-
|[[APACHE II]]
|[[Widget:APACHEII]]
|-
|[[SAPS II]]
|[[Widget:SAPSII]]
|-
|[[SAPS III]]
|[[Widget:SAPSIII]]
|-
|[[PIM2]]
|
|}
==Table==
{|
! align="center" style="background:#4479BA; color: #FFFFFF;" + |Complications
! align="center" style="background:#4479BA; color: #FFFFFF;" + |Polymyositis
! align="center" style="background:#4479BA; color: #FFFFFF;" + |Dermatomyositis
|-
! align="center" style="background:#DCDCDC;" + |[[Cancer|Malignancy]]
| align="left" style="background:#F5F5F5;" + |
*[[Lung]]
| align="left" style="background:#F5F5F5;" + |
*[[Lung]]
|}
|}
<br>
===Calculation of the Padua Prediction Score===
Shown below is a calculator using the predictive score for VTE among hospitalized medical patients. Check all boxes that apply to your patient:


* However, data from the National Health and Nutrition Examination Surveys (NHANES) in 2001-2006 shows that one-quarter were at risk of vitamin D inadequacy (serum 25OHD 30–49 nmol/L), and 8% were at risk of vitamin D deficiency (serum 25OHD less than 30 nmol/L). <ref name="NHANES Vitamin D"> Looker AC, Johnson CL, Lacher DA, et al. Vitamin D status: United States, 2001–2006. NCHS data brief, no 59. Hyattsville, MD: National Center for Health Statistics. 2011.</ref>
{| style="border: 0; float: left; width: 45%; position: float; background: #104E8B; border-radius: 10px 10px 10px 10px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5); margin: 0 0 0 0; padding: 5px 5px; font-weight: bold;"
 
| colspan="2" style="text-align: center; color: #FFFFFF; font-size: 120%;" | IMPROVE Bleeding Risk Score
{| class="wikitable"
|-
! colspan="5" style="text-align: center; font-weight: bold;" | Serum 25OHD status of persons over 1 year old: United States, 2001-2006
! style=" text-align: left; color: #4479BA; background: #FFFFFF; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 0 0 rgba(0, 0, 0, 0.2); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Variable
! style=" text-align: center; color: #4479BA; background: #FFFFFF; border-radius: 5px 5px 5px 5px; text-shadow: 0 0 0 rgba(0, 0, 0, 0.2); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Score
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Active gastric or duodenal ulcer
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |4.5
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Prior bleeding within the last 3 months
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |4
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Thrombocytopenia (<50x10<sup>9</sup>/L)
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |4
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Age ≥ 85 years
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |3.5
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Liver failure (INR>1.5)
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |2.5
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Severe kidney failure (GFR< 30 mL/min/m<sup>2</sup>)
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |2.5
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Admission to ICU or CCU
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |2.5
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Central venous catheter
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |2
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Rheumatic disease
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |2
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Active malignancy
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |2
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Age: 40-84 years
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |1.5
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Male
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |1
|-
|-
| style="text-align: center;" |
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Moderate kidney failure (GFR: 30-59 mL/min/m<sup>2</sup>)
| style="text-align: center; font-weight: bold;" | Possibly harmful
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |1
| style="text-align: center; font-weight: bold;" | Sufficient
| style="text-align: center; font-weight: bold;" | Inadequate
| style="text-align: center; font-weight: bold;" | Deficient
|-
|-
| style="font-weight: bold;" | Level
! colspan="2" style=" text-align: left; color: #4479BA; background: #FFFFFF; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 0 0 rgba(0, 0, 0, 0.2); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Result:
| style="text-align: center;" | > 125 nmol/L
| style="text-align: center;" | 50-124 nmol/L
| style="text-align: center;" | 30-49 nmol/L
| style="text-align: center;" | <30 nmol/L
|-
|-
| style="font-weight: bold;" | Percentage
! colspan="2" style=" text-align: left; color: #4479BA; background: #FFFFFF; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 0 0 rgba(0, 0, 0, 0.2); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Interpretation:
| style="text-align: center;" | 1%
| style="text-align: center;" | 67%
| style="text-align: center;" | 24%
| style="text-align: center;" | 8%
|}
|}
<br style="clear:left" />


* Statistics from Canadian Health Measures Survey (CHMS), Cycle 1, 2007–2009 shows that 13% of Canadians have vitamin D level below 40 nmol/L. <ref name="urlProportion of the Population Above and Below 40 nmol/L Serum 25-Hydroxyvitamin D Concentrations and Cumulative Distribution of Serum 25-Hydroxyvitamin D Concentrations: United States and Canada - Dietary Reference Intakes for Calcium and Vitamin D - NCBI Bookshelf">{{cite web |url=https://www.ncbi.nlm.nih.gov/books/NBK56054/ |title=Proportion of the Population Above and Below 40 nmol/L Serum 25-Hydroxyvitamin D Concentrations and Cumulative Distribution of Serum 25-Hydroxyvitamin D Concentrations: United States and Canada - Dietary Reference Intakes for Calcium and Vitamin D - NCBI Bookshelf |format= |work= |accessdate=}}</ref>
===Calculation of the test Prediction Score===
Shown below is a calculator using the predictive score for VTE among hospitalized medical patients. Check all boxes that apply to your patient:


* Naugler et al. reported that based on the results from Calgary Laboratory Services and Census Canada data in 2010-2011 on individuals older than 25 years old residing in Calgary, Alberta, 26% of individuals had vitamin D levels of less than 50 nmol/L. <ref name="NauglerZhang2013">{{cite journal|last1=Naugler|first1=Christopher|last2=Zhang|first2=Jianguo|last3=Henne|first3=Dan|last4=Woods|first4=Paul|last5=Hemmelgarn|first5=Brenda R|title=Association of vitamin D status with socio-demographic factors in Calgary, Alberta: an ecological study using Census Canada data|journal=BMC Public Health|volume=13|issue=1|year=2013|issn=1471-2458|doi=10.1186/1471-2458-13-316}}</ref>
{| style="border: 0; float: left; width: 45%; position: float; background: #104E8B; border-radius: 10px 10px 10px 10px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5); margin: 0 0 0 0; padding: 5px 5px; font-weight: bold;"
 
| colspan="2" style="text-align: center; color: #FFFFFF; font-size: 120%;" | IMPROVE Bleeding Risk Score
===Age===
|-
* In both sexes, the prevalence was lowest in children aged 1–8 years. Risk of deficiency increased significantly with age until age 30 in males and age 18 in females, after which it did not change significantly with age. <ref name="NHANES Vitamin D"> Looker AC, Johnson CL, Lacher DA, et al. Vitamin D status: United States, 2001–2006. NCHS data brief, no 59. Hyattsville, MD: National Center for Health Statistics. 2011.</ref>
! style=" text-align: left; color: #4479BA; background: #FFFFFF; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 0 0 rgba(0, 0, 0, 0.2); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Variable
 
! style=" text-align: center; color: #4479BA; background: #FFFFFF; border-radius: 5px 5px 5px 5px; text-shadow: 0 0 0 rgba(0, 0, 0, 0.2); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Score
===Gender===
|-
* There is a slight increase in the prevalence of vitamin D deficiency in female than male. According to the National Health and Nutrition Examination Surveys (NHANES) in 2001-2006, the season-adjusted prevalence at risk of deficiency by age ranged from 1% to 8% in males and 1% to 12% in females. <ref name="NHANES Vitamin D"> Looker AC, Johnson CL, Lacher DA, et al. Vitamin D status: United States, 2001–2006. NCHS data brief, no 59. Hyattsville, MD: National Center for Health Statistics. 2011.</ref>
! rowspan="2" style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Gender
 
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Female
===Race===
|-
* Non-hispanic white people are at lower risk of vitamin D deficiency than African-Americans, Hispanics and Asians.  
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Male
* Analysis from Gozdzik A et all study on 107 young adults in Toronto during winter of 2007, shows an association between vitamin D level and skin pigmentation. 34.4% of individuals with European ancestry had vitamin D levels of less than 50 nmol/L, whereas East and South Asians had 85.2% and 93.5% respectively. <ref name="GozdzikBarta2008">{{cite journal|last1=Gozdzik|first1=Agnes|last2=Barta|first2=Jodi Lynn|last3=Wu|first3=Hongyu|last4=Wagner|first4=Dennis|last5=Cole|first5=David E|last6=Vieth|first6=Reinhold|last7=Whiting|first7=Susan|last8=Parra|first8=Esteban J|title=Low wintertime vitamin D levels in a sample of healthy young adults of diverse ancestry living in the Toronto area: associations with vitamin D intake and skin pigmentation|journal=BMC Public Health|volume=8|issue=1|year=2008|issn=1471-2458|doi=10.1186/1471-2458-8-336}}</ref>
|-
===Developed Countries===
! rowspan="4" style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Age
 
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |0-70
===Developing Countries===
|-
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |71-80
|-
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |81-90
|-
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |>90
|-
! rowspan="5" style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Hgb ('''g/dL)'''
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |>17 '''g/dL'''
|-
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |15.5-17 '''g/dL'''
|-
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |12.5-15.5 '''g/dL'''
|-
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |12.5-11 '''g/dL'''
|-
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |<11 '''g/dL'''
|-
! rowspan="2" style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |CrCl (mL/min)
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |30-60 mL/min
|-
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |15-30 mL/min
|-
! rowspan="2" style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Albumin
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |>3.5 g/dL
|-
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |≤3.5 g/dL
|-
! rowspan="2" style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |D-dimer
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |≥1 µg/mL
|-
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |<1 µg/mL
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |ICU admission
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Acute stroke on hospitalization
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |
|-
! style=" text-align: left; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |History of VTE
| style=" text-align: center; color: #FFFFFF; background: #4479BA; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.5); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |
|-
! colspan="2" style=" text-align: left; color: #4479BA; background: #FFFFFF; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 0 0 rgba(0, 0, 0, 0.2); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Result:
|-
! colspan="2" style=" text-align: left; color: #4479BA; background: #FFFFFF; padding: 2px 10px; border-radius: 5px 5px 5px 5px; text-shadow: 0 0 0 rgba(0, 0, 0, 0.2); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.5);" |Interpretation:
|}
<br style="clear:left" />


===Interpretation of the Padua Prediction Score===
The interpretation of the score is as follows:
* Score ≥ 4: High risk for VTE
* Score < 4: Low risk for VTE
==References==
==References==
{{reflist|2}}
<references />
 
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Latest revision as of 18:11, 14 January 2019


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Category:Risk calculator
Deep vein thrombosis assessment of clinical probability and risk scores
Pulmonary embolism assessment of clinical probability and risk scores
Padua prediction score widget:PaduaVTEscore
IMPROVE risk score calculator Widget:IMPROVEScore
IMPROVEDD risk score calculator Widget:IMPROVEDDScore
Caprini score calculator Widget:CapCal
Wells score calculator for DVT Widget:DVT Wells score calculator
Modified Wells score calculator for DVT Widget:DVT Modified Wells score calculator
Pulmonary embolism Wells score calculator widget:PE_calculator
Pulmonary embolism modified Wells score calculator Widget:PE Modified Wells score calculator
AMUSE score calculator Widget:AMUSE_score_calculator
HAMILTON score calculator Widget:HAMILTON_score_calculator
Geneva score calculator Widget:Geneva_score_calculator
Revised Geneva score calculator Widget:Revised_Geneva_score_calculator
Simplified Geneva Score calculator Widget:Simplified_Geneva_score_calculator
TIMI Risk Score for Unstable Angina or NSTEMI Widget:TIMI_UA_NSTEMI
TIMI Risk Score for STEMI Widget:TIMI_STEMI
Tygerberg score widget:Tygerberg_score
CHA2DS2-VASc Score Widget:CHA2DS2VASc
CHADS2 score Widget:CHADS2score
HAS-BLED score Widget:HASBLEDscore
The GRACE risk score Widget:GRACEscore
Ranson criteria

Acute pancreatitis diagnostic criteria

Widget:RansonScore
Apgar score Widget:Apgarscore
Glasgow coma scale Widget:Adult_GCS
Pediatric Glasgow Coma Scale Widget:PGCS
Cincinnati stroke scale Widget:Cincinnati_Stroke_Scale
DIPSS Plus Score Widget:DIPSS_Plus_Score
ICU scoring systems
APACHE II Widget:APACHEII
SAPS II Widget:SAPSII
SAPS III Widget:SAPSIII
PIM2

Table

Complications Polymyositis Dermatomyositis
Malignancy


Calculation of the Padua Prediction Score

Shown below is a calculator using the predictive score for VTE among hospitalized medical patients. Check all boxes that apply to your patient:

IMPROVE Bleeding Risk Score
Variable Score
Active gastric or duodenal ulcer 4.5
Prior bleeding within the last 3 months 4
Thrombocytopenia (<50x109/L) 4
Age ≥ 85 years 3.5
Liver failure (INR>1.5) 2.5
Severe kidney failure (GFR< 30 mL/min/m2) 2.5
Admission to ICU or CCU 2.5
Central venous catheter 2
Rheumatic disease 2
Active malignancy 2
Age: 40-84 years 1.5
Male 1
Moderate kidney failure (GFR: 30-59 mL/min/m2) 1
Result:
Interpretation:


Calculation of the test Prediction Score

Shown below is a calculator using the predictive score for VTE among hospitalized medical patients. Check all boxes that apply to your patient:

IMPROVE Bleeding Risk Score
Variable Score
Gender Female
Male
Age 0-70
71-80
81-90
>90
Hgb (g/dL) >17 g/dL
15.5-17 g/dL
12.5-15.5 g/dL
12.5-11 g/dL
<11 g/dL
CrCl (mL/min) 30-60 mL/min
15-30 mL/min
Albumin >3.5 g/dL
≤3.5 g/dL
D-dimer ≥1 µg/mL
<1 µg/mL
ICU admission
Acute stroke on hospitalization
History of VTE
Result:
Interpretation:


Interpretation of the Padua Prediction Score

The interpretation of the score is as follows:

  • Score ≥ 4: High risk for VTE
  • Score < 4: Low risk for VTE

References