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__NOTOC__
__NOTOC__
== Smoking related interstitial lung disease ==
[[Smoking|Cigarette smoking]] may cause various adverse effects on [[Lung|pulmonary]] tissue.<ref>{{cite journal |last=Nagai |first=Sonoko |coauthors=Yuma Hoshino, Michio Hayashi, Isao Ito |title=Smoking-related interstitial lung diseases |url=http://www.co-pulmonarymedicine.com/pt/re/copulmonary/abstract.00063198-200009000-00005.htm |journal=Current Opinion in Pulmonary Medicine |volume=6 |issue=5 |pages=415-9 |year=2000 |pmid=10958232}}</ref><ref>{{cite journal |last=Baumgartner |first=KB |coauthors=Samet JM, Stidley CA, Colby TV, Waldron JA |title=Cigarette smoking: a risk factor for idiopathic pulmonary fibrosis |url= http://ajrccm.atsjournals.org/cgi/content/short/155/1/242 |journal=American Journal of Respiratory and Critical Care Medicine |volume=155 |number=1 |pages=242-248 |year=1997 |pmid=9001319}}</ref><ref name="pmid29222007">{{cite journal |vauthors=Kumar A, Cherian SV, Vassallo R, Yi ES, Ryu JH |title=Current Concepts in Pathogenesis, Diagnosis, and Management of Smoking-Related Interstitial Lung Diseases |journal=Chest |volume= |issue= |pages= |date=December 2017 |pmid=29222007 |doi=10.1016/j.chest.2017.11.023 |url=}}</ref>
* [[Smoking|Cigarette smoke]] might injure [[Alveolus|alveolar]] [[Epithelium|epithelial cells]] leading to in diffuse [[Infiltration (medical)|infiltration]] and subsequently [[Parenchyma|parenchymal]] [[fibrosis]].
* Alveolar [[Epithelium|epithelial cells]] are the main [[Cell (biology)|cells]] that involve in the pathogenesis of [[emphysema]] as well as lung [[fibrosis]] following [[smoking]].
* [[Smoking|Cigarette smoking]] may predispose alveolar [[Epithelium|epithelial cells]] to cellular senescence and apoptosis that leads to emphysema or lung fibrosis.
* There is a well-known association with [[tobacco smoking]] and some types of interstitial lung disease such as: 
** Desquamative interstitial pneumonia
** Respiratory bronchiolitis-associated interstitial lung disease
** Pulmonary [[Langerhans cell histiocytosis|Langerhans cell granulomatosis]]
** Acute eosinophilic pneumonia
== Idiopathic interstitial pneumonias ==
The idiopathic interstitial pneumonias (IIP) are a broad range of interstitial lung diseases of unknown etiology.<ref name="Selman">{{cite journal |last=Selman |first=Moisés |coauthors=Talmadge E. King, Jr.; and Annie Pardo |title=Idiopathic pulmonary fibrosis: prevailing and evolving hypotheses about its pathogenesis and implications for therapy |journal=Annals of Internal Medicine |year=2001 |volume=134 |number=2 |pages=136-51|url=http://www.annals.org/cgi/content/abstract/134/2/136}}</ref><ref>{{cite journal |last=King, Jr. |first=Talmadge E. |title=Centennial review: clinical advances in the diagnosis and therapy of the interstitial lung diseases|url=http://ajrccm.atsjournals.org/cgi/content/full/172/3/268 |journal=American Journal of Respiratory and Critical Care Medicine |year=2005 |volume=172 |number=3 |pages=268-79}}</ref><ref name="Flaherty-2001">{{Cite journal | last1 = Flaherty | first1 = KR. | last2 = Travis | first2 = WD. | last3 = Colby | first3 = TV. | last4 = Toews | first4 = GB. | last5 = Kazerooni | first5 = EA. | last6 = Gross | first6 = BH. | last7 = Jain | first7 = A. | last8 = Strawderman | first8 = RL. | last9 = Flint | first9 = A. | title = Histopathologic variability in usual and nonspecific interstitial pneumonias. | journal = Am J Respir Crit Care Med | volume = 164 | issue = 9 | pages = 1722-7 | month = Nov | year = 2001 | doi = 10.1164/ajrccm.164.9.2103074 | PMID = 11719316 }}</ref><ref name="Cottin-1998">{{Cite journal | last1 = Cottin | first1 = V. | last2 = Donsbeck | first2 = AV. | last3 = Revel | first3 = D. | last4 = Loire | first4 = R. | last5 = Cordier | first5 = JF. | title = Nonspecific interstitial pneumonia. Individualization of a clinicopathologic entity in a series of 12 patients. | journal = Am J Respir Crit Care Med | volume = 158 | issue = 4 | pages = 1286-93 | month = Oct | year = 1998 | doi = 10.1164/ajrccm.158.4.9802119 | PMID = 9769293 }}</ref><ref name="Park-1996">{{Cite journal | last1 = Park | first1 = CS. | last2 = Jeon | first2 = JW. | last3 = Park | first3 = SW. | last4 = Lim | first4 = GI. | last5 = Jeong | first5 = SH. | last6 = Uh | first6 = ST. | last7 = Park | first7 = JS. | last8 = Choi | first8 = DL. | last9 = Jin | first9 = SY. | title = Nonspecific interstitial pneumonia/fibrosis: clinical manifestations, histologic and radiologic features. | journal = Korean J Intern Med | volume = 11 | issue = 2 | pages = 122-32 | month = Jun| year = 1996 | doi = | PMID = 8854648 }}</ref><ref name="Shimizu-2002">{{Cite journal | last1 = Shimizu | first1 = S. | last2 = Yoshinouchi | first2 = T. | last3 = Ohtsuki | first3 = Y. | last4 = Fujita | first4 = J. |last5 = Sugiura | first5 = Y. | last6 = Banno | first6 = S. | last7 = Yamadori | first7 = I. | last8 = Eimoto | first8 = T. | last9 = Ueda | first9 = R. | title = The appearance of S-100 protein-positive dendritic cells and the distribution of lymphocyte subsets in idiopathic nonspecific interstitial pneumonia. | journal = Respir Med | volume = 96 | issue = 10 | pages = 770-6 | month = Oct | year = 2002 | doi = | PMID = 12412975 }}</ref>
*Pathogenesis of all idiopathic interstitial pneumonias are [[Fibroblast|fibroblasts]] proliferation and [[collagen]] deposition leading to [[inflammation]] and [[fibrosis]].
*Patients with idiopathic interstitial pneumonias generally manifests as a gradual [[dyspnea]] and dry [[cough]].
*On chest imagings it is characterized by bilateral abnormal opacities of various types.
*The most common is chronic [[Idiopathic pulmonary fibrosis]]. However, the worst prognosis is the [[Hamman-Rich syndrome|acute interstitial pneumonia]].
*The [[diagnosis]] can only be reached correctly with a multidisciplinary approach after excluding known causes.
*The new classification of idiopathic interstitial pneumonias is as follow:
** Major idiopathic interstitial pneumonias
*** [[Idiopathic pulmonary fibrosis]]
*** Idiopathic nonspecific interstitial pneumonia
*** [[Respiratory bronchiolitis-interstitial lung disease]]
*** [[Desquamative interstitial pneumonia]]
*** [[Cryptogenic organizing pneumonia]]
*** [[Hamman-Rich syndrome|Acute interstitial pneumonia]]
** Rare idiopathic interstitial pneumonias
*** Idiopathic [[lymphoid interstitial pneumonia]]
*** Idiopathic pleuroparenchymal fibroelastosis
** Unclassifiable idiopathic interstitial pneumonias
'''For more information about Idiopathic interstitial pneumonia, [[Idiopathic interstitial pneumonia|click here]].'''


'''For more information about idiopathic pulmonary fibrosis, [[Idiopathic pulmonary fibrosis|click here]].'''
[[Sandbox: wdx]]


'''For more information about Cryptogenic organizing pneumonia, [[Cryptogenic organizing pneumonia|click here]].'''
[[Xyz]]


== Pulmonary alveolar proteinosis ==
[[Abc]]
For more information about pulmonary alveolar proteinosis, '''[[Pulmonary alveolar proteinosis|click here]].''' 
# [[Sandbox:Preeti]]
# [[Lymphoma]]
# [[Breast lumps differential diagnosis]]
# [[Neck masses differential diagnosis]]
# [[Leukemia]]
{| class="wikitable"
|+
|-
| 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]]
|-
|[[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]]
|-
| 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:


== Lymphocytic infiltrative disorders ==
{| 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;"
* Lymphocytic interstitial pneumonitis
| colspan="2" style="text-align: center; color: #FFFFFF; font-size: 120%;" | IMPROVE Bleeding Risk Score
* Pulmonary lymphomatoid granulomatosis
|-
For more information about lymphocytic interstitial pneumonitis, '''[[Lymphocytic interstitial pneumonitis|click here]].'''
! 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: 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; 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
|-
! 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" />


== Pulmonary lymphangioleiomyomatosis ==
===Calculation of the test Prediction Score===
* For more information about pulmonary lymphangioleiomyomatosis, '''[[Lymphangiomyomatosis|click here]].'''
Shown below is a calculator using the predictive score for VTE among hospitalized medical patients. Check all boxes that apply to your patient:


== Pulmonary hemorrhage syndromes ==
{| 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;"
* Goodpasture syndrome
| colspan="2" style="text-align: center; color: #FFFFFF; font-size: 120%;" | IMPROVE Bleeding Risk Score
* Idiopathic pulmonary hemosiderosis
|-
* Isolated pulmonary capillaritis
! 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
|-
! 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
|-
| 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
|-
! 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
|-
| 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" />


== Granulomatous lung response ==
===Interpretation of the Padua Prediction Score===
* Hypersensitivity pneumonitis 
The interpretation of the score is as follows:
* Sarcoidosis
* Score ≥ 4: High risk for VTE
* Granulomatous vasculitides
* Score < 4: Low risk for VTE
** Granulomatosis with polyangiitis (Wegener)
==References==
** Eosinophilic granulomatosis with polyangiitis (ChurgStrauss)
<references />
* Bronchocentric granulomatosis
For more information about hypersensitivity pneumonitis, '''[[Hypersensitivity pneumonitis|click here]].'''
 
== Interstitial lung disease associated with systemic diseases ==
 
=== Interstitial lung disease associated with connective tissue diseases ===
* Systemic lupus erythematosus
* Rheumatoid arthritis
* Ankylosing spondylitis
* Systemic sclerosis
* Sjögren syndrome
* Polymyositis/dermatomyositis
 
=== Interstitial lung disease associated with inherited diseases ===
* Tuberous sclerosis
* Neurofibromatosis
* Niemann−Pick disease
* Gaucher disease
* Hermansky−Pudlak syndrome
 
=== Interstitial lung disease associated with gastrointestinal or liver diseases ===
* Crohn disease
* Primary biliary cirrhosis
* Chronic active hepatitis
* Ulcerative colitis
 
=== Interstitial lung disease associated with graft−versus−host disease ===
* Bone marrow transplantation
* Solid organ transplantation
 
== References ==
{{reflist|2}}

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