International Journal of Clinical Monitoring and Computing Impact Factor & Information

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

2015 Impact Factor Available summer 2016
2014 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

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    • Author's post-print on any open access repository after 12 months after publication
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    • 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: In this study a comparison of cardiac output (CO) measurements obtained with CardioQ transesophageal Doppler (TED) and pulmonary artery catheter (PAC) thermodilution (TD) technique was done in a systematic set-up, with induced changes in preload, afterload and heart rate. Twenty-five patients completed the study. Each patient were placed in the following successive positions: (1) supine, (2) head-down tilt, (3) head-up tilt, (4) supine, (5) supine with phenylephrine administration, (6) pace heart rate 80 beats per minute (bpm), (7) pace heart rate 110 bpm. The agreement of compared data was investigated by Bland-Altman plots, and to assess trending ability a four quadrants plot and a polar plot were constructed. Both methods showed an acceptable precision 6.4 % (PAC TD) and 12.8 % (TED). In comparison with PAC TD, the TED was associated with a mean bias in supine position of -0.30 l min(-1) (95 % CI -0.88; 0.27), wide limits of agreement, a percentage error of 69.5 %, and a trending ability with a concordance rate of 92 %, angular bias of 1.1° and a radial sector size of 40.0° corresponding to an acceptable trending ability. In comparison with PAC TD, the CardioQ TED showed a low mean bias, wide limits of agreement and a larger percentage error than should be expected from the precision of the two methods. However, an acceptable trending ability was found. Thus, the CardioQ TED should not replace CO measurements done by PAC TD, but could be a valuable tool in guiding therapy.
    International Journal of Clinical Monitoring and Computing 11/2015; DOI:10.1007/s10877-015-9806-4
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    ABSTRACT: Given the benefit of glucose control in the perioperative period, we evaluated the accuracy and performance of the continuous glucose monitoring system (CGMS) depending on different measurement sites in the operating room (OR) and in the intensive care unit (ICU). Patients over 18 years of age scheduled for elective surgery and ICU admission were enrolled prospectively. Two CGMS sensors were inserted into the subcutaneous tissue of the proximal lateral thigh and the lateral abdomen. The rate of successful measurements from thigh and abdomen in the OR and in the ICU were calculated separately. Each CGMS values were compared with the time-matched arterial blood glucose measurements. CGMS values from both measurement sites were also compared. A total of 22 patients undergoing cardiac surgeries were studied. The rate of successful measurements was higher in the ICU (73.2 %) than in the OR (66.0 %) (P = 0.01); however, that from thigh (72.9 %) and from abdomen (58.7 %) showed statistically significant difference only in the OR (P = 0.04). The Pearson correlation coefficient of thigh and abdomen versus arterial values was 0.67 and 0.60, respectively (P < 0.001). In Clarke error grid analysis, 94.6 % (89.3 % in the OR and 96.1 % in the ICU) of values from thigh fell into clinically acceptable zones compared to 93.7 % (89.0 % in the OR and 95.4 % in the ICU) from abdomen. There were no statistically significant differences in the accuracy according to measurement sites. The CGMS showed high measurement failure rate, especially in the OR. In the OR, the rate of successful measurement was higher from thigh than from abdomen. The CGMS showed low accuracy compared to arterial reference values. Nevertheless, there was no difference in the accuracy of the CGMS between two measurement sites. Perioperative performance of the CGMS still needs to be improved considering relatively low successful measurement rates.
    International Journal of Clinical Monitoring and Computing 11/2015; DOI:10.1007/s10877-015-9804-6
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    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.
    International Journal of Clinical Monitoring and Computing 10/2015; DOI:10.1007/s10877-015-9800-x
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    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.
    International Journal of Clinical Monitoring and Computing 10/2015; DOI:10.1007/s10877-015-9798-0
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    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.
    International Journal of Clinical Monitoring and Computing 10/2015; DOI:10.1007/s10877-015-9799-z
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    ABSTRACT: Heart rate volatility (HRVO) is hypothesized to be a physiological measure of sympathetic activity and is defined by the standard deviation (SD) of the heart rate (HR) in beats per minutes (BPM) over fixed time intervals. To investigate the relationship between low HRVO (SD < 0.5 BPM) during surgical procedures and mortality within 48 h post-procedure. We retrospectively reviewed all adult general surgical procedures performed at our center from January 1, 2003 through July 1, 2013 to identify patients who died within 48 h post-procedure. Demographic, heart rate, and mortality data were extracted from the electronic anesthesia record. Propensity score analysis was used to find matching controls based on age, gender, ASA score, anesthesia type, Charlson index, procedure type, emergency status, year, use of preoperative beta blocker, hypertension, diabetes, atrial fibrillation and heart failure. HRVO was calculated for each 5 min interval as the SD of all HR's within that interval. Negative binomial regression was then used to model the count of intervals with HRVO < 0.5 BPM for the duration of the surgery. During the 10 year study period, 283 patients died within 48 h of procedure finish. These patients were matched to 566 patients who did not die within 48 h after procedure. Patients who died had a 39 % increase in frequency of low HRVO episodes compared to patients who survived (RR 1.39, 95 % CI 1.13-1.72; p = 0.003). Low HRVO during surgical procedure is associated with increased mortality risk within 48 h after procedure. Strategies to identify HRVO early and modify it may lead to improvement in outcomes.
    International Journal of Clinical Monitoring and Computing 10/2015; DOI:10.1007/s10877-015-9792-6
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    ABSTRACT: Blood pressure transducer kits are equipped with two types of Planecta™ ports-the flat-type Planecta™ port (FTP) and the Planecta™ port with a three-way stopcock (PTS). We reported that FTP application decreased the natural frequency of the kits. However, Planecta™ is an invaluable tool as it prevents infection, ensures technical simplicity, and excludes air. Hence, an ideal Planecta™ port that does not decrease the frequency characteristics is required. As a first step in this direction, we aimed to assess the influence of PTSs on the natural frequency of blood transducer kits. A DTXplus transducer kit (DT4812J; Argon Medical Devices, TX, USA) was used along with ≥1 PTSs (JMS, Hiroshima, Japan), and the frequency characteristics were assessed. The natural frequency and damping coefficient of each kit were obtained by using frequency characteristics analysis software, and these parameters were evaluated by plotting them on Gardner's chart. Regardless of whether one or two PTSs were inserted, the natural frequency of the kits only slightly decreased (from 42.5 to 41.1 Hz, when 2 PTSs were used). Thus, the frequency characteristics of the kits with PTSs were adequate for pressure monitoring. The insertion of ≥2 FTPs in pressure transducer kits should be avoided, as they markedly decrease the natural frequency and lead to underdamping. However, the effect of PTS insertion in pressure transducer kits on the frequency characteristics is minimal. Thus, we found that the use of PTS markedly improved the frequency characteristics as compared to the use of FTP.
    International Journal of Clinical Monitoring and Computing 10/2015; DOI:10.1007/s10877-015-9795-3
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    ABSTRACT: Although the induction of anaesthesia with remifentanil often causes bradycardia, the relationship between the effect-site concentration (Ce) of remifentanil and instantaneous heart rate (HR) has remained unclear. The present study examined the relationship between instantaneous HR and remifentanil Ce at the induction of anaesthesia with and without propofol hypnosis, to facilitate safe management of anaesthesia induction with remifentanil. Instantaneous HR was calculated every 5 s using an electrocardiographic real-time analysis system (MemCalc/Makin2; GMS, Tokyo, Japan). At the beginning of anaesthesia induction, continuous infusion of remifentanil (1 μg min(-1) kg(-1)) preceded hypnosis with propofol in 13 patients [non-hypnosis group; mean age, 67.8 (17.5) years], while propofol bolus (30-50 mg) was injected together with continuous remifentanil medication in 18 patients [hypnosis group; mean age, 62.9 (16.5) years]. Remifentanil Ce was estimated every 5 s using the three-compartment model proposed by Minto et al. and the relationship between estimated remifentanil Ce and instantaneous HR was examined. In the hypnosis group, HR was significantly lower than basal HR when remifentanil Ce was increased to 3.5 ng ml(-1) (p < 0.05), whereas no significant HR reduction was found in the non-hypnosis group until remifentanil Ce reached >5 ng ml(-1) (p < 0.05). The induction of anaesthesia using remifentanil with propofol hypnotics significantly reduces HR even in a low remifentanil Ce insufficient to suppress the cardiovascular response at tracheal intubation. Preparations to treat bradycardia are recommended for the safe management of anaesthesia induction when remifentanil is combined with hypnotics.
    International Journal of Clinical Monitoring and Computing 10/2015; DOI:10.1007/s10877-015-9794-4
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    ABSTRACT: Continual vital sign assessment on the general care, medical-surgical floor is expected to provide early indication of patient deterioration and increase the effectiveness of rapid response teams. However, there is concern that continual, multi-parameter vital sign monitoring will produce alarm fatigue. The objective of this study was the development of a methodology to help care teams optimize alarm settings. An on-body wireless monitoring system was used to continually assess heart rate, respiratory rate, SpO2 and noninvasive blood pressure in the general ward of ten hospitals between April 1, 2014 and January 19, 2015. These data, 94,575 h for 3430 patients are contained in a large database, accessible with cloud computing tools. Simulation scenarios assessed the total alarm rate as a function of threshold and annunciation delay (s). The total alarm rate of ten alarms/patient/day predicted from the cloud-hosted database was the same as the total alarm rate for a 10 day evaluation (1550 h for 36 patients) in an independent hospital. Plots of vital sign distributions in the cloud-hosted database were similar to other large databases published by different authors. The cloud-hosted database can be used to run simulations for various alarm thresholds and annunciation delays to predict the total alarm burden experienced by nursing staff. This methodology might, in the future, be used to help reduce alarm fatigue without sacrificing the ability to continually monitor all vital signs.
    International Journal of Clinical Monitoring and Computing 10/2015; DOI:10.1007/s10877-015-9790-8
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    ABSTRACT: Preprocedural spinal ultrasound appears to decrease the failure rate and complications of neuraxial anesthesia compared to the conventional landmark technique. It is especially beneficial in difficult cases where conventional palpation technique may fail. We recently encountered a parturient with multiple lumbar and cervical spinal metastatic lesions presenting for cesarean section in the third trimester. We used spinal ultrasound to define the appropriate intervertebral space and measure the distance to the ligamentum flavum-dura mater complex. This greatly helped in administering a safe spinal anesthetic and avoiding general anesthesia which might have been hazardous in this patient.
    International Journal of Clinical Monitoring and Computing 09/2015; DOI:10.1007/s10877-015-9785-5
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    ABSTRACT: The brain anaesthesia response (BAR) monitor uses a method of EEG analysis, based on a model of brain electrical activity, to monitor the cerebral response to anaesthetic and sedative agents via two indices, composite cortical state (CCS) and cortical input (CI). It was hypothesised that CCS would respond to the hypnotic component of anaesthesia and CI would differentiate between two groups of patients receiving different doses of fentanyl. Twenty-five patients scheduled to undergo elective first-time coronary artery bypass graft surgery were randomised to receive a total fentanyl dose of either 12 μg/kg (fentanyl low dose, FLD) or 24 μg/kg (fentanyl moderate dose, FMD), both administered in two divided doses. Propofol was used for anaesthesia induction and pancuronium for intraoperative paralysis. Hemodynamic management was protocolised using vasoactive drugs. BIS, CCS and CI were simultaneously recorded. Response of the indices (CI, CCS and BIS) to propofol and their differences between the two groups at specific points from anaesthesia induction through to aortic cannulation were investigated. Following propofol induction, CCS and BIS but not CI showed a significant reduction. Following the first dose of fentanyl, CI, CCS and BIS decreased in both groups. Following the second dose of fentanyl, there was a significant reduction in CI in the FLD group but not the FMD group, with no significant change found for BIS or CCS in either group. The BAR monitor demonstrates the potential to monitor the level of hypnosis following anaesthesia induction with propofol via the CCS index and to facilitate the titration of fentanyl as a component of balanced anaesthesia via the CI index.
    International Journal of Clinical Monitoring and Computing 09/2015; DOI:10.1007/s10877-015-9780-x