PMID- 25193676
OWN - NLM
STAT- MEDLINE
DCOM- 20160225
LR  - 20211021
IS  - 1573-2614 (Electronic)
IS  - 1387-1307 (Linking)
VI  - 29
IP  - 3
DP  - 2015 Jun
TI  - Derivation of baseline lung impedance in chronic heart failure patients: use for 
      monitoring pulmonary congestion and predicting admissions for decompensation.
PG  - 341-9
LID - 10.1007/s10877-014-9610-6 [doi]
AB  - The instantaneous lung impedance (ILI) is one of the methods to assess pulmonary 
      congestion or edema (PCE) in chronic heart failure (CHF) patients. Due to usually 
      existing PCE in CHF patients when evaluated, baseline lung impedance (BLI) is 
      unknown. Therefore, the relation of ILI to BLI is unknown. Our aim was to 
      evaluate methods to calculate and appraise BLI or its derivative as reflecting 
      the clinical status of CHF patients. ILI and New York Heart Association (NYHA) 
      class were assessed in 222 patients (67 +/- 11 years, LVEF <35 %) during 32 months 
      of frequent outpatient clinic visits. ILI, measured in 120 asymptomatic patients 
      at NYHA class I, with no congestion on the chest X-ray and a low-normal 6-min 
      walk, was defined as BLI. Using measured BLI and ILI values in these patients, 
      formulas for BLI calculation were derived based on logistic regression analysis 
      or on the disparity between BLI and ILI values at different NYHA stages. Both 
      models were equally reliable with <3 % difference between measured and calculated 
      BLI (p = NS). DeltaLIR = (ILI/BLI - 1) x 100 % reflected the degree of PCE, or 
      deviation from baseline, correlated with NYHA class (r = -0.9, p < 0.001) and 
      could serve for monitoring. Of study patients, 123 were re-hospitalized for PCE 
      during follow up. Their DeltaLIR decreased gradually from -21.7 +/- 8.2 % 4 weeks 
      pre-admission to -37.8 +/- 9.3 % on admission (p < 0.001). Patients improved during 
      hospital stay (NYHA 3.7 +/- 0.5 to 2.9 +/- 0.8, p < 0.0001) with DeltaLIR increasing to 
      -29.1 +/- 12.0 % (p < 0.001). DeltaLIR based on calculated BLI correlated with the 
      clinical status of CHF patients and allowed the prediction of hospitalizations 
      for PCE.
FAU - Shochat, Michael
AU  - Shochat M
AD  - Heart Institute, Hillel Yaffe Medical Center, P.O. Box 169, 38100, Hadera, 
      Israel, shochat1@yahoo.com.
FAU - Shotan, Avraham
AU  - Shotan A
FAU - Blondheim, David S
AU  - Blondheim DS
FAU - Kazatsker, Mark
AU  - Kazatsker M
FAU - Dahan, Iris
AU  - Dahan I
FAU - Asif, Aya
AU  - Asif A
FAU - Shochat, Ilia
AU  - Shochat I
FAU - Frimerman, Aaron
AU  - Frimerman A
FAU - Rozenman, Yoseph
AU  - Rozenman Y
FAU - Meisel, Simcha R
AU  - Meisel SR
LA  - eng
PT  - Journal Article
DEP - 20140906
PL  - Netherlands
TA  - J Clin Monit Comput
JT  - Journal of clinical monitoring and computing
JID - 9806357
SB  - IM
MH  - Aged
MH  - Algorithms
MH  - Chronic Disease
MH  - Computer Simulation
MH  - Electric Impedance
MH  - Female
MH  - Heart Failure/*physiopathology/*therapy
MH  - Hospitalization
MH  - Humans
MH  - Lung/*physiopathology
MH  - Male
MH  - Middle Aged
MH  - Models, Cardiovascular
MH  - Monitoring, Physiologic/*methods
MH  - Patient Admission
MH  - Prospective Studies
MH  - Pulmonary Circulation
MH  - Registries
MH  - Signal Processing, Computer-Assisted
MH  - Treatment Outcome
MH  - Ventricular Function, Left/physiology
EDAT- 2014/09/07 06:00
MHDA- 2016/02/26 06:00
CRDT- 2014/09/07 06:00
PHST- 2014/03/16 00:00 [received]
PHST- 2014/08/27 00:00 [accepted]
PHST- 2014/09/07 06:00 [entrez]
PHST- 2014/09/07 06:00 [pubmed]
PHST- 2016/02/26 06:00 [medline]
AID - 10.1007/s10877-014-9610-6 [doi]
PST - ppublish
SO  - J Clin Monit Comput. 2015 Jun;29(3):341-9. doi: 10.1007/s10877-014-9610-6. Epub 
      2014 Sep 6.