Development and Validation of an Electronic Postoperative Morbidity Score.

BACKGROUND: Electronic health records are being adopted due to numerous potential benefits. This requires the development of objective metrics to characterize morbidity, comparable to studies performed in centers without an electronic health record. We outline the development of an electronic version of the postoperative morbidity score for integration into our electronic health record. METHODS: Twohundred and three frail patients who underwent elective surgery were reviewed. We retrospectively defined postoperative morbidity score on postoperative day 3. We also recorded potential electronic surrogates for morbidities that could not be easily extracted in an objective format. We compared discriminative capability (area under the receiver operator curve) for patients having prolonged length of stay or complex discharge requirements. RESULTS: One hundred thirty-nine patients (68%) had morbidity in ≥1 postoperative morbidity score domain. Initial electronic surrogates were overly sensitive, identifying 173 patients (84%) as having morbidity. We refined our definitions using backward logistic regression against "gold-standard" postoperative morbidity score. The final electronic postoperative morbidity score differed from the initial version in its definition of cardiac and neurological morbidity. There was no significant difference in the discriminative capability between electronic postoperative morbidity score and postoperative morbidity score for either outcome (area under the receiver operator curve: 0.66 vs 0.66 for complex discharge requirement, area under the receiver operator curve: 0.66 vs 0.67 for a prolonged length of stay; P> .05 for both). Patients with postoperative morbidity score or electronic postoperative morbidity score-defined morbidity on day 3 had increased risk of prolonged length of stay (P < .001 for both). CONCLUSIONS: We present a variant of postoperative morbidity score based on objective electronic metrics. Discriminative performance appeared comparable to gold-standard definitions for discharge outcomes. Electronic postoperative morbidity score may allow characterization of morbidity within our electronic health record, but further study is required to assess external validity.

Can process mapping and a multisite Delphi of perioperative professionals inform our understanding of system-wide factors that may impact operative risk?

OBJECTIVES: To examine whether the use of process mapping and a multidisciplinary Delphi can identify potential contributors to perioperative risk. We hypothesised that this approach may identify factors not represented in common perioperative risk tools and give insights of use to future research in this area. DESIGN: Multidisciplinary, modified Delphi study. SETTING: Two centres (one tertiary, one secondary) in the UK during 2020 amidst coronavirus pressures. PARTICIPANTS: 91 stakeholders from 23 professional groups involved in the perioperative care of older patients. Key stakeholder groups were identified via process mapping of local perioperative care pathways. RESULTS: Response rate ranged from 51% in round 1 to 19% in round 3. After round 1, free text suggestions from the panel were combined with variables identified from perioperative risk scores. This yielded a total of 410 variables that were voted on in subsequent rounds. Including new suggestions from round two, 468/519 (90%) of the statements presented to the panel reached a consensus decision by the end of round 3. Identified risk factors included patient-level factors (such as ethnicity and socioeconomic status), and organisational or process factors related to the individual hospital (such as policies, staffing and organisational culture). 66/160 (41%) of the new suggestions did not feature in systematic reviews of perioperative risk scores or key process indicators. No factor categorised as 'organisational' is currently present in any perioperative risk score. CONCLUSIONS: Through process mapping and a modified Delphi we gained insights into additional factors that may contribute to perioperative risk. Many were absent from currently used risk stratification scores. These results enable an appreciation of the contextual limitations of currently used risk tools and could support future research into the generation of more holistic data sets for the development of perioperative risk assessment tools.

Chronic pain in children in the UK: a survey of pain clinicians and general practitioners.

BACKGROUND: There is a lack of information about the prevalence, manifestations, and management of chronic pain in children in the UK. We surveyed consultants with an interest in chronic pain management and general practitioners (GPs) in the UK in order to understand their perspective on chronic pain in children. METHODS: We conducted a postal survey of clinicians with an interest in chronic pain management and GPs in the UK. The survey contained questions relating to the following aspects of managing children with chronic pain: (i) clinicians' training and experience; (ii) available resources; (iii) perceived prevalence, presentation, and referral patterns; (iv) interventions; and (v) outcomes. RESULTS: 472 pain clinicians and 131 GPs were contacted. The response rates were 55% and 61% respectively. Of the respondents, 77% of pain clinicians and 95% of GPs acknowledged a lack of adequate training for managing children with chronic pain. 57% of the pain clinicians and 63% of the GPs reported that the prevalence of chronic pain in children was <5%. In the comments section, 22% of those respondents who frequently manage children with chronic pain reported an increase in the incidence of this problem over the last 5 years. The common chronic pain syndromes in children were reported to be: musculoskeletal and limb pain, recurrent abdominal and pelvic pain, and headache. 15% of the respondents advised that children with chronic pain would be best managed in specialist pediatric centers and 75% opined that majority of children with chronic pain have a fair to good prognosis. CONCLUSIONS: More information is required about prevalence, manifestations and long-term effects of chronic pain in children in the UK. There is a need for increasing training and resources amongst GPs and pain clinicians for managing chronic pain in the pediatric age group.

Brain tissue oxygenation index measured by near infrared spatially resolved spectroscopy agreed with jugular bulb oxygen saturation in normal pediatric brain: a pilot study.

OBJECTIVES: This observational, prospective pediatric human study was performed to determine the agreement between brain tissue oxygenation indices (TOI) measured by near infrared spatially resolved spectroscopy and jugular bulb oxygen saturation values (SjO(2)). METHODS: Five cardiac patients without neurological impairment who were admitted into the critical care unit after open-heart surgery with jugular bulb venous catheters were enrolled. Their mean age was 8.6 months and mean body weight was 6.7 kg. Simultaneous measurements of brain TOI using NIR0-300 (Hamamatsu Photonics, Hamamatsu City, Japan) and SjO(2) values from blood samples were recorded. RESULTS: The TOI range was 59+/-9% and the SjO(2) range was 58+/-17%. The correlation coefficient R was 0.64 (p=0.11; n=14). Bland-Altman plotting revealed a bias of -3.4%, and precision of 7.2% (n=14). Intra-class correlation reliability analysis showed kappa of 0.55. CONCLUSION: Statistically, brain TOI was in reasonable agreement with SjO(2) in pediatric patients with normal brain within the measurement range from 50 to 70%.