International Journal of Clinical Monitoring and Computing (J Clin Monit Comput)

Publisher: Springer Verlag

Journal description

The Journal of Clinical Monitoring and Computing is the result of the merger of the International Journal of Clinical Monitoring and Computing and the Journal of Clinical Monitoring . The merger will make it possible to continue and strengthen the tradition of the two parent journals namely the publication of contributions by and for clinicians and engineers interested in the ever growing field of measuring and monitoring in the Operating Room and the Intensive Care Unit. Medicine relies to an ever increasing degree on technology whether drug delivery systems or ventilators the internet or data management: the Journal of Clinical Monitoring and Computing makes it easy to stay abreast. No other journal can help the clinician with the many problems and promises of data management better than JCMC ; no other journal can introduce engineers to the needs of clinicians as well as JCMC .

Current impact factor: 1.99

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 1.985
2013 Impact Factor 1.448
2012 Impact Factor 0.709
2011 Impact Factor 0.887
2000 Impact Factor 0.488
1999 Impact Factor 0.288

Impact factor over time

Impact factor

Additional details

5-year impact 1.35
Cited half-life 5.80
Immediacy index 0.39
Eigenfactor 0.00
Article influence 0.36
Website Journal of Clinical Monitoring and Computing website
Other titles Journal of clinical monitoring and computing (Online)
ISSN 1573-2614
OCLC 41569988
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Springer Verlag

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's pre-print on pre-print servers such as
    • Author's post-print on author's personal website immediately
    • Author's post-print on any open access repository after 12 months after publication
    • Publisher's version/PDF cannot be used
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (see policy)
    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Intubation or neck extension can compress the spinal cord in patients with craniocervical instability. Protective motor evoked potential (MEP) and somatosensory evoked potential (SEP) monitoring of these maneuvers is an obvious consideration when these patients undergo already-monitored spinal surgery, but might be overlooked when they undergo other normally unmonitored procedures. Here we report monitoring intubation and neck extension for the unusual indication of thyroidectomy in a Down syndrome boy with atlantoaxial instability. Transcranial electric stimulation thenar MEPs and optimized median nerve SEPs were acquired about every minute throughout intubation and neck extension under propofol and remifentanil anesthesia without neuromuscular blockade. Potentials were stable and there was no neurologic deficit. This approach could protect craniocervical instability patients against cord compression when they undergo intubation and neck extension for surgical procedures that would not otherwise indicate spinal cord monitoring.
    No preview · Article · Jan 2016 · International Journal of Clinical Monitoring and Computing

  • No preview · Article · Jan 2016 · International Journal of Clinical Monitoring and Computing
  • [Show abstract] [Hide abstract]
    ABSTRACT: The Acute Kidney Injury Network (AKIN) classification considers SCr values, urea and urine output in order to improve timely diagnose ARF and improve patient prognosis by early treatment. Preoperative levosimendan is a new way for cardiac and kidney protection, we try to evaluate this drug in fifteen patients comparing values of AKIN scale parameters pre and post cardiac surgery in patients with right ventricle dysfunction.
    No preview · Article · Jan 2016 · International Journal of Clinical Monitoring and Computing
  • [Show abstract] [Hide abstract]
    ABSTRACT: To determine any effect of wearing a filtering facepiece respirator on brain temperature. Subjects (n = 18) wore a filtering facepiece respirator (FFR) for 1 h at rest while undergoing infrared thermography measurements of the superomedial periobital region of the eye, a non-invasive indirect method of brain temperature measurements we termed the superomedial orbital infrared indirect brain temperature (SOIIBT) measurement. Temperature of the facial skin covered by the FFR, infrared temperature measurements of the tympanic membrane and superficial temporal artery region were concurrently measured, and subjective impressions of thermal comfort obtained simultaneously. The temperature of the skin under the FFR and subjective impressions of thermal discomfort both increased significantly. The mean tympanic membrane temperature did not increase, and the superficial temporal artery region temperature decreased significantly. The SOIIBT values did not change significantly, but subjects who switched from nasal to oronasal breathing during the study (n = 5) experienced a slight increase in the SOIIBT measurements. Wearing a FFR for 1 h at rest does not have a significant effect on brain temperatures, as evaluated by the SOIIBT measurements, but a change in the route of breathing may impact these measurements. These findings suggest that subjective impressions of thermal discomfort from wearing a FFR under the study conditions are more likely the result of local dermal sensations rather than brain warming.
    No preview · Article · Jan 2016 · International Journal of Clinical Monitoring and Computing
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper reviews 17 papers or commentaries published in Journal of Clinical Monitoring and Computing in 2015, within the field of respiration. Papers were published covering monitoring and training of breathing, monitoring of gas exchange, hypoxemia and acid-base, and CO2 monitoring.
    No preview · Article · Dec 2015 · International Journal of Clinical Monitoring and Computing
  • [Show abstract] [Hide abstract]
    ABSTRACT: Hemodynamic instability in the beach chair position (BCP) may lead to adverse outcomes. Cardiac preload optimization is a prerequisite to improve hemodynamics. We evaluated the clinical usefulness of dynamic indices for the prediction of fluid responsiveness in BCP patients under general anesthesia. Forty-two patients in the BCP under mechanical ventilation received colloids at 6 ml/kg for 10 min. Stroke volume variation (SVV), pulse pressure variation (PPV), pleth variability index (PVI), and hemodynamic data were measured before and after the fluid challenge. Patients were considered responders to volume expansion if the stroke volume index increased by ≥15 %. The areas under receiver operating characteristic curves for SVV, PPV and PVI were 0.83, 0.81 and 0.74, respectively (p < 0.05), with the corresponding optimal cut-off values of 12, 15 and 10 %. SVV, PPV and PVI can be used to predict fluid responsiveness in the BCP under mechanical ventilation.
    No preview · Article · Dec 2015 · International Journal of Clinical Monitoring and Computing
  • [Show abstract] [Hide abstract]
    ABSTRACT: Polysomnography (PSG) is the gold standard for the analysis of sleep architecture but is not always available in routine practice, as it is time consuming and cumbersome for patients. Bispectral index (BIS), developed to quantify the deepness of general anesthesia, may be used as a simplified tool to evaluate natural sleep depth. We objectively recorded sleep architecture in young patients using the latest BIS Vista monitor and correlated BIS values with PSG sleep stages in order to determine BIS thresholds. Patients, referred for the screening of sleep apnea/hypopnea syndrome or differential diagnosis of hypersomnia were recruited. Overnight PSG and BIS were performed simultaneously. BIS values were averaged for each sleep stage. Pre-sleep wakefulness (W) and wake after sleep onset (WASO) were also differentiated. BIS values were discarded for a signal quality index <90 %. ROC curves were plotted to discriminate sleep stages from each other. Twelve patients (5.7–29.3 years old) were included. Mean BIS values were 83 ± 8, 76 ± 12, 77 ± 11, 70 ± 10, 43 ± 10, and 75 ± 10 for W, WASO, N1, N2, N3 and R (REM) stages, respectively. BIS failed to distinguish W, WASO, N1 and R stages. BIS threshold that identified stage N2 was <73 (AUC = 0.784, p < 0.001) with low sensitivity (75 %) and poor specificity (64 %). BIS threshold that identified stage N3 was <55 (AUC = 0.964, p < 0.001) with an 87 %-sensitivity and a 93 %-specificity. BIS identified stage N3 with satisfactory sensitivity and specificity but is limited by its inability to distinguish REM sleep from wake. Further studies combining BIS with chin electromyogram and/or electrooculogram could be of interest.
    No preview · Article · Oct 2015 · International Journal of Clinical Monitoring and Computing
  • [Show abstract] [Hide abstract]
    ABSTRACT: Pulse rate variability (PRV) is a promising physiological and analytic technique used as a substitute for heart rate variability (HRV). PRV is measured by pulse wave from various devices including mobile and wearable devices but HRV is only measured by an electrocardiogram (ECG). The purpose of this study was to evaluate PRV and HRV at various ambient temperatures and elaborate on the interchangeability of PRV and HRV. Twenty-eight healthy young subjects were enrolled in the experiment. We prepared temperature-controlled rooms and recorded the ECG and photoplethysmography (PPG) under temperature-controlled, constant humidity conditions. The rooms were kept at 17, 25, and 38 °C as low, moderate, and high ambient temperature environments, respectively. HRV and PRV were derived from the synchronized ECG and PPG measures and they were studied in time and frequency domain analysis for PRV/HRV ratio and pulse transit time (PTT). Similarity and differences between HRV and PRV were determined by a statistical analysis. PRV/HRV ratio analysis revealed that there was a significant difference between HRV and PRV for a given ambient temperature; this was with short-term variability measures such as SDNN SDSD or RMSSD, and HF-based variables including HF, LF/HF and normalized HF. In our analysis the absolute value of PTT was not significantly influenced by temperature. Standard deviation of PTT, however, showed significant difference not only between low and moderate temperatures but also between low and high temperatures. Our results suggest that ambient temperature induces a significant difference in PRV compared to HRV and that the difference becomes greater at a higher ambient temperature.
    No preview · Article · Oct 2015 · International Journal of Clinical Monitoring and Computing
  • [Show abstract] [Hide abstract]
    ABSTRACT: The laboratory analysis provides accurate, but time consuming hemoglobin level estimation especially in the emergency setting. The reliability of time-sparing point of care devices (POCT) remains uncertain. We tested two POCT devices accuracy (HemoCue(®)201(+) and Gem(®)Premier™3000) in routine emergency department workflow. Blood samples taken from patients admitted to the emergency department were analyzed for hemoglobin concentration using a laboratory reference Beckman Coulter LH 750 (HBLAB), the HemoCue (HBHC) and the Gem Premier 3000 (HBGEM). Pairwise comparison for each device and HbLAB was performed using correlation and the Bland-Altman methods. The reliability of transfusion decision was assessed using three-zone error grid. A total of 292 measurements were performed in 99 patients. Mean hemoglobin level were 115 ± 33, 110 ± 28 and 111 ± 30 g/l for HbHC, HbGEM and HbLAB respectively. A significant correlation was observed for both devices: HbHC versus HbLAB (r(2) = 0.93, p < 0.001) and HBGEM versus HBLAB (r(2) = 0.86, p < 0.001). The Bland-Altman method revealed bias of -3.7 g/l (limits of agreement -20.9 to 13.5) for HBHC and HBLAB and 2.5 g/l (-18.6 to 23.5) for HBGEM and HBLAB, which significantly differed between POCT devices (p < 0.001). Using the error grid methodology: 94 or 91 % of values (HbHC and HbGEM) fell in the zone of acceptable difference (A), whereas 0 and 1 % (HbHC and HbGEM) were unacceptable (zone C). The absolute accuracy of tested POCT devices was low though reaching a high level of correlation with laboratory measurement. The results of the Morey´s error grid were unfavorable for both POCT devices.
    No preview · Article · Oct 2015 · International Journal of Clinical Monitoring and Computing