scholarly journals Pedobarographic Measurements of Rheumatoid Feet Compared with Clinical Parameters

2022 ◽  
Author(s):  
Yasemin Yumusakhuylu ◽  
Bilinc Dogruoz Karatekin ◽  
Selin Turan Turgut ◽  
Afitap Icagasioglu ◽  
Esra Selimoglu ◽  
...  
Keyword(s):  
Clinical Parameters

Healing venous ulcers with different modalities of leg compression

Phlebologie ◽  
2006 ◽  
Vol 35 (05) ◽  
pp. 349-355 ◽  
Author(s):  
E. O. Brizzio ◽  
G. Rossi ◽  
A. Chirinos ◽  
I. Cantero ◽  
G. Idiazabal ◽  
...  
Keyword(s):  
Wound Care ◽  
Univariate Analysis ◽  
Compression Therapy ◽  
Healing Time ◽  
Clinical Parameters ◽  
Compression Stockings ◽  
Local Pressure ◽  
Ulcer Size ◽  
Venous Ulcers ◽  
Unexpected Findings

Summary Background: Compression therapy (CT) is the stronghold of treatment of venous leg ulcers. We evaluated 5 modalities of CT in a prospective open pilot study using a unique trial design. Patients and methods: A group of experienced phlebologists assigned 31 consecutive patients with 35 venous ulcers (present for 2 to 24 months with no prior CT) to 5 different modalities of leg compression, 7 ulcers to each group. The challenge was to match the modality of CT with the features of the ulcer in order to achieve as many healings as possible. Wound care used standard techniques and specifically tailored foam pads to increase local pressure. CT modalities were either stockings Sigvaris® 15-20, 20-30, 30-40 mmHg, multi-layer bandages, or CircAid® bandaging. Compression was maintained day and night in all groups and changed at weekly visits. Study endpoints were time to healing and the clinical parameters predicting the outcome. Results: The cumulative healing rates were 71%, 77%, and 83% after 3, 6, and 9 months, respectively. Univariate analysis of variables associated with nonhealing were: previous surgery, presence of insufficient perforating and/or deep veins, older age, recurrence, amount of oedema, time of presence of CVI and the actual ulcer, and ulcer size (p <0.05-<0.001). The initial ulcer size was the best predictor of the healing-time (Pearson r=0.55, p=0.002). The modality of CT played an important role also, as 19 of 21 ulcers (90%) healed with stockings but only 8 of 14 with bandages (57%; p=0.021). Regression analysis allowed to calculate a model to predict the healing time. It compensated for the fact that patients treated with low or moderate compression stockings were at lower risk of non-healing. and revealed that healing with stockings was about twice as rapid as healing with bandages. Conclusion: Three fourths of venous ulcers can be brought to healing within 3 to 6 months. Healing time can be predicted using easy to assess clinical parameters. Irrespective of the initial presentation ulcer healing appeared more rapid with the application of stockings than with bandaging. These unexpected findings contradict current believes and require confirmation in randomised trials.

Assessment of healing of dental implant surgical site following Low-Level Laser Therapy using Bio-Clinical parameters: An Exploratory Study

2020 ◽  
Author(s):  
VARSHA PALLED ◽  
DR. JITENDRA RAO ◽  
DR. RAGHUWAR DAYAL SINGH ◽  
DR. SHUCHI TRIPATHI ◽  
DR. KALPANA SINGH ◽  
...  
Keyword(s):  
Laser Therapy ◽  
Test Group ◽  
Low Level Laser Therapy ◽  
Control Group ◽  
Clinical Parameters ◽  
Implant Stability ◽  
Low Level ◽  
Implant Stability Quotient ◽  
Low Level Laser ◽  
Level Laser

The purpose of this study was to evaluate whether Low-Level Laser Therapy (LLLT) improves the healing of the implant surgical site with clinical and biochemical parameters.Thirty patients with an edentulous space spanning a single tooth were selected. The patients were randomly allocated to two groups - the control group and the test group. The test group received laser energy at a power of 2J/cm 2 with a total of 4-6J energy over each implant. Clinical parameters (Implant Stability Quotient, probing index, modified sulcus bleeding index)and osteoprotegerin (OPG) were assessed at baseline and follow-up intervals (2 weeks, 6 weeks, and 3 months).The test group showed significantly higher implant stability quotient compared to thecontrol group at 2 weeks(57.93±3.95 and 35.67±3.08; p&lt;0.01) and 3months(58.86±3.75 and 67.06±3.78; p&lt;0.01). A significant rise in OPG levels of the test group(686.30±125.36pg/ml at baseline and 784.25±108.30pg/ml at 3months;p&lt;0.01) was seen contrary to significant decline in the control group (839.50±249.08pg/ml at baseline,415.30±78.39pg/ml at 3months;p&lt;0.01). Within the limitations of the study, the study suggests that the healing of peri-implant hard and soft tissues may be enhanced with the use of LLLT as an explicit modality during the post-operative period.

Discovering Associations Comparing Directly Clinical Parameters with Different Dimensional Units

2014 ◽  
Vol 2014 (2) ◽  
pp. 139-151
Author(s):  
Miguel Murguía-Romero ◽  
◽  
Rafael Jiménez-Flores ◽  
René Méndez-Cruz ◽  
Rafael Villalobos-Molina ◽  
...  
Keyword(s):  
Clinical Parameters

733-P: Postprandial Glucose Variability in People with Type 1 Diabetes Is Individual and Impacted by Physiological and Clinical Parameters

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 733-P
Author(s):  
CASSY F.B. DINGENA ◽  
AILSA MARSH ◽  
RAMZI AJJAN ◽  
MATTHEW CAMPBELL
Keyword(s):  
Type 1 Diabetes ◽  
Glucose Variability ◽  
Postprandial Glucose ◽  
Clinical Parameters

Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury

2020 ◽  
Vol 132 (6) ◽  
pp. 1952-1960 ◽  
Author(s):  
Seung-Bo Lee ◽  
Hakseung Kim ◽  
Young-Tak Kim ◽  
Frederick A. Zeiler ◽  
Peter Smielewski ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Neurological Status ◽  
Cerebrovascular Reactivity ◽  
Cerebral Hypoperfusion ◽  
Clinical Parameters ◽  
Artifact Removal ◽  
Clinical Events ◽  
Arterial Blood ◽  
Before And After

OBJECTIVEMonitoring intracranial and arterial blood pressure (ICP and ABP, respectively) provides crucial information regarding the neurological status of patients with traumatic brain injury (TBI). However, these signals are often heavily affected by artifacts, which may significantly reduce the reliability of the clinical determinations derived from the signals. The goal of this work was to eliminate signal artifacts from continuous ICP and ABP monitoring via deep learning techniques and to assess the changes in the prognostic capacities of clinical parameters after artifact elimination.METHODSThe first 24 hours of monitoring ICP and ABP in a total of 309 patients with TBI was retrospectively analyzed. An artifact elimination model for ICP and ABP was constructed via a stacked convolutional autoencoder (SCAE) and convolutional neural network (CNN) with 10-fold cross-validation tests. The prevalence and prognostic capacity of ICP- and ABP-related clinical events were compared before and after artifact elimination.RESULTSThe proposed SCAE-CNN model exhibited reliable accuracy in eliminating ABP and ICP artifacts (net prediction rates of 97% and 94%, respectively). The prevalence of ICP- and ABP-related clinical events (i.e., systemic hypotension, intracranial hypertension, cerebral hypoperfusion, and poor cerebrovascular reactivity) all decreased significantly after artifact removal.CONCLUSIONSThe SCAE-CNN model can be reliably used to eliminate artifacts, which significantly improves the reliability and efficacy of ICP- and ABP-derived clinical parameters for prognostic determinations after TBI.

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