We are pleased to announce that the PICANet Annual Report 2020 is now published.
This can be downloaded from our Annual Report and Publication page (link) .

The PICANet Annual Report includes The Summary Report, Tables and Figures and Appendices.

Please note that the Tables and Figures document has been broken down into section for ease of use. Each table (with the exception of the Referral and Transport and Staffing data) are represented in the Tables and Figures as dynamic and can be filtered to highlight certain fields.

Copies of previous years’ Annual Reports can be located in the Annual Report Archive (link).

If you have any queries regarding the Annual Report 2020 please contact picanet@leeds.ac.uk

PICANet, based at the Universities of Leeds and Leicester will be closed during the academic Christmas holiday.
The University of Leeds closes on 18th December, with the University of Leicester remaining open until 23rd December for support from our research Nurses available.
If resource or technical support queries are received after 18^th December they will be dealt with when the office re-opens on 4^th January 2021.

Thank you

During the COVID-19 pandemic, PICANet have established a system of rapid reporting and customised data collection of COVID-19 & PIMS-TS cases. The impact of this additional workload has been that the publication of the 2020 PICANet Annual Report has been delayed (now anticipated to be in February 2021) and there will be no 2020 PICANet Annual Meeting.

Thank you to all PICANet collaborating units and transport teams for your understanding and co-operation throughout this period.

The PICANet Team

Following approval of the PICANet Clinical Advisory Group, new fields have been added to the PICANet Admissions and Transport Datasets relating to:

Mode of death (Admission dataset only)
Organ transplantation (Admission dataset only)
SpO₂ (and FiO₂ at time of SpO₂).

In addition, the recording of weight will become a mandatory item requiring completion for all admission events.

The following documents provide full details of the changes:

Summary of changes 
New Admission Data Collection Form v10.0 
New Transport Data Collection Form  v3.0
New Admission Dataset Manual 
New Referral & Transport Dataset Manual

These revised datasets are now available on PICANet Web so you can choose to start recording these details with immediate effect, however, they will become a mandatory part of the datasets with effect from 01/01/2021 at which point ‘live’ validation queries will be applied.

For units/transport teams that use paper forms, batches of these will be sent out to you within the next 10 days. For units/transport teams that import data to PICANet Web from local clinical systems it will be necessary to update your local export programme to reflect these changes. We will contact importing units/transport teams shortly with an updated xml schema to support this process.

If you have any queries please don’t hesitate to contact the PICANet Research Nurses Caroline Lamming (crl4@le.ac.uk) and Lyn Palmer (slp60@leicester.ac.uk).

PICANet published a report on the 23rd June 2020 relating to children with a confirmed COVID-19 diagnosis treated in a Paediatric Intensive Care Unit (PICU) within the UK.  This is an update to that report featuring updated data (Published 12th of November 2020).
Please click here to access the report

PICANet published a report on the 23rd June 2020 relating to children with a confirmed COVID-19 diagnosis treated in a Paediatric Intensive Care Unit (PICU) within the UK.

Please click here to access the report.

In order to further support understanding of the disease and better describe its presentation and treatment provided within paediatric intensive care units, PICANet have been working with members of the Clinical Advisory Group and PICS to develop a COVID-19 customised data collection.

This customised data collection is now available on PICANet Web and we would ask you to complete this for the following patients that have been admitted to your unit since 01/01/2020:

1. Children aged less than 18 years for whom a diagnosis of COVID-19 is confirmed by laboratory diagnosis during or immediately prior to admission to a paediatric intensive care unit (PICU) and
2. Children who remain COVID-19 suspected or probable after repeated COVID-19 negative laboratory test results and in the presence of no other positive virology and bacteriology results.

This will include children admitted with multi-system inflammatory syndrome exclusive of other anti-microbial cause; provisionally called paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS).

The data collection form for completion and a data definitions manual to support completion of the data are available to download from the PICANet website on the COVID-19 page (https://www.picanet.org.uk/covid-19/).

In order to support timely analysis and outputs we would be very grateful if you could please complete this data as soon as possible after discharge.

If you have any queries please contact Caroline Lamming PICANet Research Nurse crl4@leicester.ac.uk or picanet@leeds.ac.uk and thank you again for all your efforts supporting this important work.

Recording of COVID-19 and PIMS-TS for transport events

For details of how to record COVID-19 and PIMS-TS for transport events please see the guidance note on the COVID-19 page (https://www.picanet.org.uk/covid-19/).

All COVID-19 information will appear on the designated page here

If you have any further queries please email picanet@leeds.ac.uk 

The PICANet team is working towards the introduction of the SNOMED CT coding system on PICANet Web. This development is directed by the NHS Paper ‘Personalised Health and Care 2020: A Framework for Action’ which endorses a move to adopt a single clinical terminology- SNOMED CT by April 2020.
The Royal College of Paediatric and Child Health speciality groups are in the process of developing a subset of SNOMED-CT concepts relevant to their special interest. A PIC subgroup had been established with membership including clinicians from PICS UK and members of the PICANet team. A dataset including SNOMED codes specific to PIC and cardiac specialities will be developed and uploaded to the PICANet Web clinical coder.

Initially availability of READ codes will be maintained on PICANet Web to allow units to submit data using either coding system.

PICANet introduced the new data fields to admissions dataset on 1st January 2018. All units were asked to collected these additional items by this date.

A revised import schema is available from Lee Norman, Database Manager email: L.J.Norman@leeds.ac.uk

Copies of the updated data collection forms are available here

Copies of the updated data manuals are available here