8 results
Jaundice Evaluation Algorithm #Diagnosis #Management #EM #IM #GI #Jaundice #Hyperbilirubinemia #Workup #Evaluation #Differential #Algorithm #Direct #Indirect
Jaundice Evaluation ... Algorithm #Diagnosis ... Hyperbilirubinemia #Workup ... #Algorithm #Direct ... #Unconjugated #Ddxof
Algorithm for the Evaluation of Anemia #Diagnosis #EM #IM #Honc #Anemia #Differential #Workup #Algorithm #Microcytic #Macrocytic
Algorithm for the ... Evaluation of Anemia ... #Diagnosis #EM ... #Differential #Workup ... Macrocytic #Normocytic #Ddxof
Diagnostic algorithm for a child or adolescent with suspected pulmonary hypertension. CHD, congenital heart disease; CPET,
Diagnostic algorithm ... congenital heart disease ... #Diagnosis #Peds ... #Hypertension #Workup ... #Algorithm
Evaluation and Management of Pediatric Fever #Diagnosis #Management #EM #Peds #Fever #Workup #Evaluation #Discharge #Admission #Algorithm
Pediatric Fever #Diagnosis ... Management #EM #Peds ... #Fever #Workup ... #Admission #Algorithm ... #Ddxof
Algorithm for the Evaluation of Kawasaki and Incomplete Kawasaki Disease:
Diagnosis
* Fever >5d
* Criteria (4/5)
  -
Algorithm for the ... Evaluation of Kawasaki ... #Peds #Pediatrics ... #Criteria #Workup ... #Algorithm #Ddxof
Evaluation of suspected incomplete Kawasaki Disease

1. AHA consensus recommendations
2. Infants ≤6 months old on day ≥7
Evaluation of suspected ... incomplete Kawasaki Disease ... Albumin ≤3.0 g/dL, anemia ... purposes of this algorithm ... #Diagnosis #Peds
Preoperative Risk Evaluation

Major Pre-Op Questions:
1. Does the patient have any modifiable risk factors that could be
Preoperative Risk Evaluation ... murmur 3/6) - Pulmonary ... event, follow ACC algorithm ... days before Pulmonary ... stratification #diagnosis
Myelodysplastic syndromes current treatment algorithm 2018.

From Blood Cancer Journal, Published 24 May 2018

Myelodysplastic syndromes (MDS) are
current treatment algorithm ... risk of clonal evolution ... median age at diagnosis ... cardiovascular or pulmonary ... anemia poorly,