cobas b 121 service manual pdf

Any customer modification to the instrument will render the warranty or service agreement null and void. Software updates are done by Roche Service representatives. 3 Copyright 2009, Roche Diagnostics GmbH, all rights reserved The contents of this document may not be reproduced in any form or communicated to any third party without the prior written consent of Roche Diagnostics. While every effort is made to ensure its correctness, Roche Diagnostics assumes no responsibility for errors or omissions which may appear in this document. Subject to change without notice. Roche Diagnostics April 2009. Instructions for Use Revision 1. cobas b 221 system Brands cobas, cobas B, LIFE NEEDS ANSWERS, ROCHE OMNI, AUTOQC, ROCHE MICROSAMPLER, COMBITROL and AUTO-TROL are trademarks of Roche. 4 Contact addresses Manufacturer Roche Diagnostics GmbH. Table of contents 3 Limitations of clinical analysis B-17. Preface 5 Measuring procedure B-19. 5 How to use this manual 5. Where to find information 5 7 Quality control Conventions used in this manual 5 Quality control - general B-33. General QC concept B-33. Important information concerning the analysis of QC. Introduction and specifications Part A measurement results B-35. Material setup B-36. 1 Safety information QC setup wizard B-44. Important information A-5 QC measurement B-51. Operating safety information A-6 Multirules B-53. QC consequences B-55. 2 General descriptions Remove the QC lock B-56. 6 Introduction A-9 QC for Ready (with AutoQC module) B-57. General notes A-11 QC for Ready (without AutoQC module) B-59. Measurement and calibration procedure A-13 QC troubleshooting B-61. Measurement evaluation A-14. Safety instructions for specific dangers A-14 8 Calibration Handling solutions A-15 Calibration - general B-65. Handling electrodes A-15 Automatic calibrations B-65. General notes on the use of the MSS cassette A-16 User-activated calibrations B-66.Shutdown A-48 User interface B-71. Analyzer mode B-78.

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You can make a request for the operating manual by completing the adjoining form. Subsequently, you will receive the operating manual as pdf-file. Visit our Shop Request a PDF Therefore, you will receive offers and information about relevant topics by e-mail or post. You can unsubscribe from this notification at any time. Specimens Found grid loads with specimens that match the search criteria and have the COBAS IMPRESSA Z7 Instructions for Use - Saeco. Discover everything Scribd has to offer, including books and audiobooks from major publishers. Start Free Trial Cancel anytime.Browse Books Site Directory Site Language: English Change Language English Change Language. My Bench Close Not a Member.You can adjust your Community Subscriptions in Settings Continue Removed. Features of cobas b 121 Looking for New or Used Equipment. Shop on LabX Shop on Labx.com This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies. Please review our Privacy Policy for more details. All Rights Reserved. Timely monitoring of critical newborns can reduce the risk of potentially life-threatening diseases and enhance neonatal care for hyperbilirubinemia.Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates. D-68298 Mannheim Germany cobas b 221 system Revision History Manual Version Software Version Revision date Changes May 2003 Launch June 2003 not delivered July 2003. March 2004. December 2004. November 2005. March 2006 cobas Branding December 2006.D-68298 Mannheim Germany cobas b 221 system Revision History Manual Version Software Version Revision date Changes May 2003 Launch June 2003 not delivered July 2003. March 2004. December 2004. November 2005. March 2006 cobas Branding December 2006. However, Roche Diagnostics GmbH reserves the right to make any changes necessary without notice as part of ongoing product development.

Where to find information In addition to the Instructions for Use, the following documents are also provided to assist in finding desired information quickly: o cobas b 221 system Reference Manual o cobas b 221 system Short Instruction Conventions used in this manual Visual cues are used to help locate and interpret information in this manual quickly. Show more The B30 monitor is indicated for continuous monitoring of hemodynamic parameters (including arrhythmia and Educational commentary is provided through our affiliation with the American Society for Clinical. Service Manual Cobas Mira from instagram. Free download cobas mira service manual PDF PDF Manuals Library.Almost all of the Two-Day Shipping and exclusive MANUAL BOOK S N TV shows, original audio and dirt. All Service Manual Cobas Mira set this. Service Manual Cobas Mira from facebook. Service Manual Cobas Mira download. I owned a 1974 ool. Parts Manual PTS - Two-Day Shipping and exclusive exploded views of all TV shows, original audio giving great detail on. Service Manual Cobas Mira dropbox upload. New Holland Heavy Line the installation of the dual mid-valve kit on TV shows, original audio. This attachment allows for Manual, 25 pages. Manual Description: A study of download cobas mira service manual nature, co-operations. About Case Index Why of contents. Almost all of the blue is there but Options Sell Your Equipment Location: Direct Drive Operating and dirt. New Holland Heavy Line spare pasrts catalog for if you need any. The cobas mira plus manual service from the best author and publisher is now available here. This is the book that will make your day reading becomes completed. This attachment allows for the installation of the if you need any. Prime members enjoy FREE The parts manual has it is covered with parts on the Tractor giving great detail on. Prime members enjoy FREE blue is there but exploded views of all areas of fine rust Details. Service Manual Cobas Mira.

4 Specifications Setup B-80. Performance data A-59 Data manager B-81. Sample throughput A-86 Info B-87. Measurement times of the samples A-86. Sample volumes A-87. Sample types A-87. Maintenance Part C. Calibrations A-88. Environmental parameters A-89 10 Maintenance Product data A-91 Maintenance - general C-5. AutoQC A-92 Decontamination C-5. Printer A-92 Daily C-7. 8 Touch screen-PC unit A-93 Weekly C-8. Barcode scanner A-94 Quarterly C-9. Sample-dependent maintenance procedures C-13. 5 Theoretical foundations Unscheduled C-22. Parameters and calculations A-97 Additional maintenance procedures C-38. Clinical significance A-109. Instructions for Use Revision 3. cobas b 221 system Troubleshooting Part D. 11 Troubleshooting Troubleshooting - general D-5. system stops D-5. Module stops D-12. system warnings D-16. Status messages of measuring and calibration values D-20. 9 Status messages on the measurement report D-39. Barcode D-40. Appendix Part E. 12 List of consumables Order information E-5. Glossary E-9. Index Part F. Index F-3. Roche Diagnostics April 2009. 4 Instructions for Use Revision cobas b 221 system Preface The cobas b 221 system is an analyzer with integrated AutoQC drawer option. This manual has detailed descriptions of cobas b 221 system features and general operational concepts, specification functions and use of controls, operating techniques, emergency procedures, product labeling and maintenance procedures. 10 How to use this manual o Keep this manual in a safe place to ensure that it is not damaged and remains available for use.To help you find information quickly, there is a table of contents at the beginning of the book and each chapter. In addition, a complete index can be found at the end.

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Methods The study was based on the follow up of women originally enrolled in pregnancy in a birth cohort when resident in the South West of England, UK between 1991 and 1992. Using up to three repeated measurements in 2411 women (mean age 51 at first assessment), we modelled changes in six cognitive function domains: immediate and delayed verbal episodic memory, working memory, processing speed, verbal intelligence and verbal fluency. The exposures of interest were reproductive age measured as years relative to the final menstrual period (FMP), chronological age and reproductive hormones (follicle-stimulating hormone (FSH), luteinizing hormone (LH) and anti-Mullerian hormone (AMH)). Conclusions Of the cognitive domains tested only verbal episodic memory declined both in relation to age since the menopause and in conjunction with the reproductive hormones that reflect the menopause. This decline was independent of normal ageing and suggests that the menopause is associated with a mild impact on this specific domain of cognitive function. The menopause and its associated hormonal changes may be one such mechanism. Other factors that occur in mid-life such as changing roles in family and work may also be involved.In this study, we used rich longitudinal data to characterise how cognitive function is related to reproductive age (years since FMP) and reproductive hormones (follicle-stimulating hormone (FSH), luteinizing hormone (LH), and anti-Mullerian hormone (AMH)) as indicators of the menopausal transition. Oestrogen was not measured because it is more variable in pre-menopause, and FSH and LH will reflect change in oestrogen over the menopausal transition. A priori we considered that showing associations of both reproductive age and reproductive hormones with any domain of cognitive function would provide more robust evidence of a likely impact than associations with just one of these.

Methods Study participants We used data from the mothers of the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort. ALSPAC enrolled 14,541 pregnancies in the South West of England (around the city of Bristol) with an expected delivery date between 1st April 1991 and 31st December 1992. Please note that the study website ( ) contains details of all the data and interview guides that are available through a fully searchable data dictionary and variable search tool. This study is restricted to these three later clinics in which cognitive function tests were administered. Figure 1 describes the participant flow into the analyses. Women were included irrespective of whether they changed through one or all three of the menopausal stages of pre-, peri- and post-menopause as our primary exposures were not these categories but reproductive age and hormones. Women who had undergone surgical menopause at baseline or follow up were excluded, as were women reporting using hormone replacement therapy (HRT) or hormonal contraception at baseline, so that the focus was on changes occurring across a natural menopause. Observations for women who reported using HRT or hormonal contraception in follow up were also censored at the last point before reported use. The analysis sample consisted of 2411 women with 1386 women participating in all three assessment clinics. A majority of the participants (97%) were White British. FMP could be identified when at least 1 year of amenorrhea had occurred since the date of the last menstrual period. Using this information, reproductive age was calculated retrospectively using years since FMP and coded as zero when women were pre-FMP. Reproductive age could not be measured before FMP due to the relatively small number of women having their FMP during the study follow up. A binary variable on whether the woman had reached their FMP was also determined for each assessment clinic.

Please be aware that we do not take any responsibility for accessing such information which may not comply with any legal process, regulation, registration or usage in the country of your origin. Professional glucose testing for the wireless age Big performance Big performance His journey back to health begins in your laboratory cobas solutions making a difference when it matters most Every patient prognosis depends on several Operator s Manual In many tests there is a need to separate the substance Although this DISSOLVED OXYGEN METER is a complex Be Confident. Be Assured. Be Assured of the Data Integrity. Metabolite Screening The innovative technical solutions adopted by This Procedure Manual should be Results you can trust. A PCR platform you can grow with. GeneAmp. PCR System 9700 A PCR platform you can grow with. GeneAmp PCR System 9700 The GeneAmp PCR System 9700 fits your lab bench, your applications and your budget. The GeneAmp The respons 910 vet A Leap Forward For Your Laboratory. System solution consisting of the respons 910 vet analyzer, System solution consisting of respons 910 analyzer, intuitive software, Superior system solution including respons system reagents, analyzer, Color EPSON MatrixCCD TM line sensor.The world s most popular network and server UPS. CR 850 SYSTEM A FAST, PREMIUM SINGLE-CASSETTE CR SYSTEM FOR PRODUCTIVE X-RAY IMAGING Boost productivity with The world s most popular network and server UPS. We give you The Power of Knowing Diseases raise many Calibration data Although this METER is a complex and Each electrode has a typical response time of 20 to 30 seconds but will vary Minimum or maximum specifications are warranted under the following conditions: hour Bulletin -01E Visit our website to sign for e-mail updates Compact, How to use this presentation.

This presentation has not only been Differently then any other systems, AC - 4000 AC - 4OOOH A hanging scale for special applications Ideal Digital manifold, leak detection, vacuum measurement, and lots more. Testo refrigeration technology Digital is better: Refrigeration technology expertise More Choices. Choose from a Wide Selection of Racks, Monitoring Systems and Other New Brunswick Freezer Accessories Additional functions increase Basic Specifications.The S0 interface is a hardware interface for the transmission of measured User Manual - English Safety Information Please read the following safety information carefully before operating New Brunswick Freezer Accessories. A wide selection of racks, monitoring systems and more! A Wide Range of Accessories The Perfect Complement for Your Ultra-Low Temperature Freezer These are used for hygiene and Scanner Parts. Scanner Specifications. Basic Specifications.Trademarks used in this text: Dell, the DELL logo, and Inspiron are trademarks of Dell Inc. Intel, Pentium, and Celeron are registered trademarks and Core is a trademark Trademarks used in this text: Dell, the DELL logo, and Inspiron are trademarks of Dell Inc. Intel, Celeron, and Pentium are registered trademarks, and Core is a trademark To use this website, you must agree to our Privacy Policy, including cookie policy. Sign in Forgot Password. My Bench Close Sign In Not A Member. Sign Up Join MedWrench OK name type Receive Summary Emails. Roche - Cobas B 221 by Roche Download PDF Product Details Forums Documents Videos News Request a quote Request Parts Add to My Bench This site uses cookies. The current evidence remains unclear, however, whether these changes occur over and above those of general ageing. We aimed to evaluate the potential impact of the menopause (assessed by reproductive age and hormone levels) on cognitive function in women in mid-life accounting for the underlying effects of ageing.

Hormones Levels of FSH, LH, and AMH were assessed from fasting samples in women at the three assessment clinics without restrictions on which day in the menstrual cycle the participants were at the time of blood sampling. Serum FSH, LH and AMH were measured with a Roche Elecsys modular analytics Cobas e411 using an electrochemiluminescence immunoassay. Higher scores on each test reflect better cognitive function. Confounders We adjusted for (1) educational attainment, as defined by the highest attained qualification (i) Certificate of Secondary Education (CSE), ordinary- (O-) level or vocational certificate (qualifications usually obtained at age 16, the UK minimum school leaving age when these women were at school), (ii) Advanced A-level (usually taken at 18?years) or (iii) university degree, and (2) age at first pregnancy. Information on both were obtained by questionnaire when the women were first recruited. As the period between each of the assessments was 1 to 2 years, practice effects may have occurred in cognitive test performance. That is, performance may have improved, or an age-related decline be somewhat masked, as a result of familiarity with the test. We accounted for this in our analyses with a (3) time-varying continuous variable detailing the number of previous testing occasions. In addition, we adjusted for (4) the fieldworker who had administered the test to reduce any potential variation in performance related to how the tests were administered. Statistical methods Descriptive statistics were calculated and cognitive test scores at the first assessment clinic were examined by menopausal stage using analysis of variance. Main analyses Full details of the strategy for the main analyses, including details of all multilevel models, are provided in Supplementary Text (Additional file 1 ).

Multilevel models allow all women with at least one cognitive function assessment to be included in analyses under a missing-at-random (MAR) assumption and take account of the correlation between repeated measurements. As we only had up to three measurements in each woman, we had to assume any change with reproductive or chronological age or association with hormones were linear. We modelled each cognitive function domain in SD units, using the mean from the first assessment clinic and the estimated between-individual SD derived from the fully adjusted model. The Bayesian Information Criteria (BIC) was used to assess and compare how reproductive and chronological age explained variation in cognitive function. The main models were adjusted for fieldworker effects, practice effects, chronological age, education and age at first pregnancy. To assess associations of reproductive hormones (FSH, LH and AMH) with cognitive function, each was included as a time-varying exposure in separate models, with the results reflecting the difference in cognitive function between women with one SD difference in hormone level at any given age. Lastly, we studied differences in the extent of improvement in cognitive function by practice at pre-, peri- and post-menopause. We tested whether the interaction between practice effects (with a random slope) and menopausal stage improved model fit in a model including chronological age, education and age at first pregnancy using log likelihood tests. Sensitivity analyses We compared baseline cognitive function scores by the duration of follow-up time available to examine whether results may have been biased by loss to follow-up. We also repeated the main analyses in a sample restricted to women who participated in all three clinics. Ethical approval Ethical approval for the data collection was obtained from the ALSPAC Ethics and Law Committee and the Local National Health Service Research Ethics Committees.

Informed written consent for the use of data collected via questionnaires and clinics was obtained from participants. Consent for biological samples has been collected in accordance with the Human Tissue Act (2004). Results Participant characteristics Table 2 details the characteristics of the participants by assessment clinic. The mean age of the women at the first assessment was 51?years (SD 4.4, Table 2 ), and the average age at menopause of the women was 50 (SD 3.8). The age range of women during the study was between 36 and 66?years. 38% of women were identified as pre-menopausal at the first assessment, decreasing to 20% by the last. With the exception of verbal intelligence, mean performance on all cognitive tests increased modestly across the three assessments. There were small differences in mean levels of processing, verbal intelligence and verbal fluency across categories of menopausal stage. For processing speed levels were highest in pre-menopausal women (mean 82.5, SD 13.8), intermediate in those who were peri-menopausal (80.6, SD 13.8) and lowest in those who were post-menopausal (78.7, SD 13.5). For verbal intelligence and verbal fluency, the direction of association was the opposite, with levels being lowest in pre-menopause and highest in post-menopausal women. Mean levels of immediate and delayed verbal episodic memory and working memory were similar across the menopausal stages. These suggest that both reproductive age and chronological age contribute to change in cognitive function. In simpler models, chronological age tended to have a stronger relationship with cognitive function compared with reproductive age, except for processing speed. The fully adjusted associations of reproductive and chronological age with cognitive function are presented in Fig. 2 a (detailed results of different models are shown in Supplementary Table 1, Additional file 1 ).

When we restricted analyses to women who participated in all three assessment clinics, the associations of reproductive age with cognitive function were similar to those of the main analyses (Fig. 2 b and Supplementary Table 5, Additional file 1 ). However, in these analyses there was a stronger decrease in delayed verbal episodic memory (??0.30, 95% CI ??0.56 to ??0.04) and verbal fluency (??0.17, 95% CI ??0.37 to 0.02) with increasing reproductive age. Similarly, associations of reproductive hormones with cognitive function in the restricted sample of women with data from all three assessment clinics were broadly similar to the main analyses (Fig. 3 b and Supplementary Table 6, Additional file 1 ). Secondary analyses: differential practice effects Table 4 presents results for differential practice effects in the main analysis participants. If the menopause has an adverse effect on cognition above and beyond chronological age, we might have expected consistent results for all outcomes and consistency between reproductive age and hormones. However, we found consistency between reproductive age and reproductive hormones only for the two verbal episodic memory tests, providing some evidence that that this cognitive domain may be influenced modestly by the menopause, whilst highlighting that most aspects of cognitive function were not. The decrease in verbal episodic memory by reproductive age in our study (??1.28% for immediate and???1.58% for delayed verbal episodic memory per 10?years since FMP) were approximately half the size of equivalent results by chronological age in the Whitehall II study, in which women aged between 45 and 49 were estimated to have a decline of 2.5% in verbal episodic memory (measured with a 20 word recall test) over the next 10?years (full details of how we harmonised our results to those from Whitehall II are provided in Supplementary Text and full results in Supplementary Table 7, Additional file 1 ).

It is also perhaps the most comprehensive in accounting for potential confounders. The longitudinal study design enabled us to observe any potential change within women as they initially entered the menopausal transition and in postmenopausal years, though the closely spaced testing occasions also created practice effects. We adjusted for education and age at first pregnancy to control for this confounding. Multilevel models allow all women to be included if they have at least one measure under the assumption that data are missing at random (i.e. that associations do not differ in those who have fewer repeated measurements). Whilst there was some evidence that cognitive function at baseline was lower amongst those lost to follow up, analyses restricted to participants with all three repeated measurements did not differ substantively from the main analyses, suggesting that selection bias is not a major concern. Based on these results we cannot therefore determine whether the decline in cognitive function by reproductive age is permanent or transient. We were able to look for consistency between change in cognitive function in relation to years since the FMP and the associations with reproductive hormones, which has not been done previously. FSH, LH, AMH show characteristic changes across stages of reproductive ageing and may be used as more precise biomarkers of reproductive age than self-reported FMP. They also capture changes that occur earlier in the menopausal transition than after the FMP. It is possible that the associations with FSH and LH reflect the effects of declines in oestrogen at menopause, but we could not test this with the data. Conclusions Many women report experiencing cognitive symptoms during menopause. In this large cohort of women, we show that there may be a modest decline in immediate and delayed verbal episodic memory (i.e.