Description of Total Population Hospital Admissions for Treacher Collins Syndrome in Australia

2021 ◽  
pp. 105566562110366
Author(s):  
Mohammed Junaid ◽  
Linda Slack-Smith ◽  
Kingsley Wong ◽  
Gareth Baynam ◽  
Hanny Calache ◽  
...  
Keyword(s):  
Total Population ◽  
Negative Binomial ◽  
Hospital Admissions ◽  
Average Length ◽  
Phenotypic Variability ◽  
Length Of Hospital Stay ◽  
Negative Binomial Regression ◽  
Treacher Collins Syndrome ◽  
Annual Percent Change ◽  
Age And Sex

Objective To describe patterns and demographic characteristics of total-population hospital admissions with a diagnosis of Treacher Collins syndrome (TCS) in Australia. Data Source Population summary data for inpatient hospitals admissions (public and private) with a principal diagnosis of TCS (ICD10-AM-Q87.04) were obtained from the Australian Institute of Health and Welfare National Hospital Morbidity Database for a 11-year period (2002-2013). Main Outcome Measures The primary outcome was hospital separation rate (HSR), calculated by dividing the number of hospital separations by estimated resident population per year. Trends in HSR s adjusted for age and sex were investigated by negative binomial regression presented as annual percent change and the association of rates with age and sex was expressed as incidence rate ratio. Results In 244 admissions identified, we observed an increase of 4.55% (95% confidence interval [CI] −1.78, 11.29) in HSR's over the 11-year period. Rates were higher during infancy (1.87 [95% CI 1.42, 2.42]), declining markedly with increasing age. The average length of hospital stay was 6.09 days (95% CI 5.78, 6.40) per episode, but longer for females and infants. Conclusions Findings indicate an increase in hospitalization rates, especially among infants and females which potentially relates to early airway intervention procedures possibly influenced by sex specific-disease severity and phenotypic variability of TCS. Awareness of the TCS phenotype and improved access to genetic testing may support more personalized and efficient care. Total-population administrative data offers a potential to better understand the health burden of rare craniofacial diseases.

scholarly journals 850Description of total population hospital admissions for Craniosynostosis in Australia

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Mohammed Junaid ◽  
Linda Slack-Smith ◽  
Helen Leonard ◽  
Kingsley Wong
Keyword(s):  
Length Of Stay ◽  
Hospital Admission ◽  
Total Population ◽  
Negative Binomial ◽  
Hospital Admissions ◽  
Average Length ◽  
Craniofacial Morphology ◽  
Outcome Variable ◽  
Diagnosis Codes ◽  
Hospital Separation

Abstract Background Craniosysnostosis (CS) is a condition ensuing from premature fusion of cranial sutures, resulting in altered craniofacial morphology, requiring early neurosurgical interventions to improve prognosis and outcomes. This study aimed to describe total population hospital admissions related to craniosynostosis in Australia over a 22-year period. Methods Population summary data for admissions to public and private hospitals were obtained from the Australian Institute of Health and Welfare National Hospital Morbidity Database (July 1996 to June 2018). The primary outcome variable was a hospital separation with the principal diagnosis of craniosynostosis, craniodysostosis or acrocephalosyndactyly (ICD9CM diagnosis codes 756.00 and 756.01 between July 1996– June 1998 and ICD10AM diagnosis codes Q75.0, Q75.1 and Q87.02 for July 1998 onwards). Trends in rates of hospital admission and length of stay by age, gender and type of craniosynostosis were investigated by negative binomial regression. Results A total of 8,115 admissions were identified between July 1996 to June 2018. Marginal decrease in hospital admission rates [-0.02 (95%CI 0.03, 0.001)] has been observed over a duration of 22 years. Admissions were higher for males, infants (<1 year) and nonsyndromic cases of disease. Average length of stay at hospitals for CS was calculated to be 5.3 ± 1.3 days per year which were even lengthier with syndromic conditions. Conclusion This study has identified population level trends in hospital separation for craniosynostosis in Australia. Key Message Population administrative data, despite limitations provides useful information to inform research and practice.

scholarly journals Hospital Microbiologic Culture Results to Predict the Use of Anti–methicillin-Resistant Staphylococcus aureus (MRSA)

2020 ◽  
Vol 41 (S1) ◽  
pp. s40-s40
Author(s):  
Hsiu Wu ◽  
Tyler Kratzer ◽  
Liang Zhou ◽  
Minn Soe ◽  
Jonathan Edwards ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Risk Adjustment ◽  
Negative Binomial ◽  
Average Length ◽  
Negative Binomial Regression ◽  
Drug Resistant ◽  
Gram Positive ◽  
Average Length Of Stay ◽  
Control And Prevention ◽  
Hospital Characteristics

Background: To provide a standardized, risk-adjusted method for summarizing antimicrobial use (AU), the Centers for Disease Control and Prevention developed the standardized antimicrobial administration ratio, an observed-to-predicted use ratio in which predicted use is estimated from a statistical model accounting for patient locations and hospital characteristics. The infection burden, which could drive AU, was not available for assessment. To inform AU risk adjustment, we evaluated the relationship between the burden of drug-resistant gram-positive infections and the use of anti-MRSA agents. Methods: We analyzed data from acute-care hospitals that reported ≥10 months of hospital-wide AU and microbiologic data to the National Healthcare Safety Network (NHSN) from January 2018 through June 2019. Hospital infection burden was estimated using the prevalence of deduplicated positive cultures per 1,000 admissions. Eligible cultures included blood and lower respiratory specimens that yielded oxacillin/cefoxitin–resistant Staphylococcus aureus (SA) and ampicillin-nonsusceptible enterococci, and cerebrospinal fluid that yielded SA. The anti-MRSA use rate is the total antimicrobial days of ceftaroline, dalbavancin, daptomycin, linezolid, oritavancin, quinupristin/dalfopristin, tedizolid, telavancin, and intravenous vancomycin per 1,000 days patients were present. AU rates were modeled using negative binomial regression assessing its association with infection burden and hospital characteristics. Results: Among 182 hospitals, the median (interquartile range, IQR) of anti-MRSA use rate was 86.3 (59.9–105.0), and the median (IQR) prevalence of drug-resistant gram-positive infections was 3.4 (2.1–4.8). Higher prevalence of drug-resistant gram-positive infections was associated with higher use of anti-MRSA agents after adjusting for facility type and percentage of beds in intensive care units (Table 1). Number of hospital beds, average length of stay, and medical school affiliation were nonsignificant. Conclusions: Prevalence of drug-resistant gram-positive infections was independently associated with the use of anti-MRSA agents. Infection burden should be used for risk adjustment in predicting the use of anti-MRSA agents. To make this possible, we recommend that hospitals reporting to NHSN’s AU Option also report microbiologic culture results.Funding: NoneDisclosures: None

scholarly journals Why do frail patients with chronic heart failure die and become hospitalised?

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Sze ◽  
P Pellicori ◽  
J Zhang ◽  
J Weston ◽  
A.L Clark
Keyword(s):  
Heart Failure ◽  
Cause Of Death ◽  
Hospital Admissions ◽  
Average Length ◽  
Significant Proportion ◽  
Length Of Hospital Stay ◽  
Clinical Frailty Scale ◽  
Frail Patients ◽  
Increased Risk

Abstract Background Frailty is common in patients with heart failure (HF) and is associated with increased morbidity and mortality. A better understanding of the causes of hospitalisations and death in frail patients might help to tailor interventional strategies for these at-risk patients. Purpose We studied the cause of death and hospitalisations in ambulatory patients with HF and frailty. Methods We assessed frailty using the clinical frailty scale (CFS) in consecutive HF patients attending a routine follow-up visit. Those with CFS ≥5 were classified as frail. Mortality and hospitalisations were ascertained from medical records (updated systematically using an NHS electronic database), discharge letters, autopsy reports and death certificates. We studied the primary cause of death and hospitalisations within one year of enrolment. Results 467 patients (67% male, median (IQR) age 76 (69–82) years, median (IQR) NT-proBNP 1156 (469–2463) ng/L) were enrolled. 206 (44%) patients were frail. Frail patients were more likely to not receive or receive suboptimal doses of ACEi/ARB and Beta-blockers; while non-frail patients were more likely to be treated with optimal doses. At 1-year follow up, there were 56 deaths and 322 hospitalisations, of which 46 (82%) and 215 (67%) occurred in frail patients. Frailty was associated with an increased risk of all-cause mortality (HR (95% CI): 4.27 (2.60–7.01)) and combined mortality/ hospitalisation (HR (95% CI): 2.85 (2.14–3.80)), all p<0.001. 57% (n=26) of frail patients died of cardiovascular causes (of which 58% were due to HF progression); although deaths due to non-cardiovascular causes (43%, n=20), especially severe infections, were also common (26%, n=12). (Figure 1) The proportion of frail patients who had non-elective hospital admissions within 1 year was more than double that of non-frail patients (46% (n=96) vs 21% (n=54); p<0.001). Compared to non-frail patients, frail patients had more recurrent (≥2) hospitalisations (28% (n=59) vs 9% (n=24); p<0.001) but median (IQR) average length of hospital stay was not significantly different (frail: 6 (4–11) vs non-frail: 6 (2–12) days, p=0.50). A large proportion of hospitalisations (64%, n=137) in frail patients were due to non-cardiovascular causes (of which 34%, 30% and 20% were due to infections, falls and comorbidities respectively). Of cardiovascular hospitalisations (36%, n=78), the majority were due to decompensated HF (67%, n=46). (Figure 1) Conclusion Frailty is common in patients with HF and is associated with an increased risk of mortality and recurrent hospitalisations. A significant proportion suffered non-cardiovascular deaths and hospitalisations. This implies that interventions targeted at HF alone can only have limited impact on outcomes in frail patients. Figure 1 Funding Acknowledgement Type of funding source: None

scholarly journals Prevalence and costs of hospitalizations for poisoning and accidental intoxication in Brazilian elderly

2013 ◽  
Vol 49 (4) ◽  
pp. 679-687
Author(s):  
Marcelle Silva de Abreu ◽  
Silvandro Diego de Albuquerque Ferreira ◽  
Larissa Pelágia de Lima Ferreira ◽  
José Ferreira Toneo Júnior ◽  
Wamberto Vieira Maciel ◽  
...  
Keyword(s):  
Hospital Admissions ◽  
Average Length ◽  
Length Of Hospital Stay ◽  
Secondary Data ◽  
Mortality Rates ◽  
Cross Sectional Study ◽  
Microsoft Excel ◽  
Cross Sectional ◽  
Alcohol And Drugs ◽  
Elderly Males

A cross-sectional study of secondary data/information obtained from the Hospital Information System (HIS) spanning the years 2008 - 2009 was performed. The distribution of the main hospital admissions by gender, age, color/race, region and federal unit of residence, average expenditure and average length of hospital stay, year of hospitalization and mortality rates (MR) were studied. The data collected were tabulated by TabNet and keyed into Microsoft Excel 2007. It was verified that elderly males (54.3%), from 60 to 69 years old (50.6%), nonwhites (36.3%) and residents of Southeast and North regions of the country had the highest rates of hospitalization. Seniors were hospitalized for an average of 4.8 days, and the major causes were exposure to alcohol (43.7%) and to drugs (33.9%). Expenses related to hospital admissions were, on average, R$ 529,817.70. The highest mortality rates were recorded among females (MR = 4.34), in elderly, 80 years or older (MR = 10.16) and Caucasians (MR = 3.95), where pharmacological substances with action on the Autonomic Nervous System were the leading cause of death. There are demographic differences in morbi-mortality of these elderly since, although men and younger elderly were the main victims, women and elderly of advanced age have greater mortality. The leading causes of hospitalization were alcohol and drugs.

scholarly journals Trends of limb amputation considering type, level, sex and age in Saskatchewan, Canada 2006–2019: an in-depth assessment

2022 ◽  
Vol 80 (1) ◽  
Author(s):  
Samuel Kwaku Essien ◽  
David Kopriva ◽  
A. Gary Linassi ◽  
Audrey Zucker-Levin
Keyword(s):  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Limb Amputation ◽  
Annual Percent Change ◽  
Discharge Data ◽  
Resident Population ◽  
True Incidence ◽  
Depth Analysis ◽  
The Impact ◽  
Extremity Amputation

Abstract Background Most epidemiologic reports focus on lower extremity amputation (LEA) caused specifically by diabetes mellitus. However, narrowing scope disregards the impact of other causes and types of limb amputation (LA) diminishing the true incidence and societal burden. We explored the rates of LEA and upper extremity amputation (UEA) by level of amputation, sex and age over 14 years in Saskatchewan, Canada. Methods We calculated the differential impact of amputation type (LEA or UEA) and level (major or minor) of LA using retrospective linked hospital discharge data and demographic characteristics of all LA performed in Saskatchewan and resident population between 2006 and 2019. Rates were calculated from total yearly cases per yearly Saskatchewan resident population. Joinpoint regression was employed to quantify annual percentage change (APC) and average annual percent change (AAPC). Negative binomial regression was performed to determine if LA rates differed over time based on sex and age. Results Incidence of LEA (31.86 ± 2.85 per 100,000) predominated over UEA (5.84 ± 0.49 per 100,000) over the 14-year study period. The overall LEA rate did not change over the study period (AAPC -0.5 [95% CI − 3.8 to 3.0]) but fluctuations were identified. From 2008 to 2017 LEA rates increased (APC 3.15 [95% CI 1.1 to 5.2]) countered by two statistically insignificant periods of decline (2006–2008 and 2017–2019). From 2006 to 2019 the rate of minor LEA steadily increased (AAPC 3.9 [95% CI 2.4 to 5.4]) while major LEA decreased (AAPC -0.6 [95% CI − 2.1 to 5.4]). Fluctuations in the overall LEA rate nearly corresponded with fluctuations in major LEA with one period of rising rates from 2010 to 2017 (APC 4.2 [95% CI 0.9 to 7.6]) countered by two periods of decline 2006–2010 (APC -11.14 [95% CI − 16.4 to − 5.6]) and 2017–2019 (APC -19.49 [95% CI − 33.5 to − 2.5]). Overall UEA and minor UEA rates remained stable from 2006 to 2019 with too few major UEA performed for in-depth analysis. Males were twice as likely to undergo LA than females (RR = 2.2 [95% CI 1.99–2.51]) with no change in rate over the study period. Persons aged 50–74 years and 75+ years were respectively 5.9 (RR = 5.92 [95% Cl 5.39–6.51]) and 10.6 (RR = 10.58 [95% Cl 9.26–12.08]) times more likely to undergo LA than those aged 0–49 years. LA rate increased with increasing age over the study period. Conclusion The rise in the rate of minor LEA with simultaneous decline in the rate of major LEA concomitant with the rise in age of patients experiencing LA may reflect a paradigm shift in the management of diseases that lead to LEA. Further, this shift may alter demand for orthotic versus prosthetic intervention. A more granular look into the data is warranted to determine if performing minor LA diminishes the need for major LA.

scholarly journals Evaluation of community coalition training effects on youth hospital-admitted injury incidence in Victoria, Australia: 2001–2017

2019 ◽  
Vol 26 (5) ◽  
pp. 463-470 ◽  
Author(s):  
Janneke Berecki-Gisolf ◽  
Bosco Rowland ◽  
Nicola Reavley ◽  
Barbara Minuzzo ◽  
John Toumbourou
Keyword(s):  
Risk Factors ◽  
Injury Risk ◽  
Negative Binomial ◽  
Hospital Admissions ◽  
Intervention Strategy ◽  
Age Groups ◽  
Negative Binomial Regression ◽  
Population Based ◽  
Injury Incidence ◽  
The Impact

BackgroundInjuries are one of the three leading causes of morbidity and mortality for young people internationally. Although community risk factors are modifiable causes of youth injury, there has been limited evaluation of community interventions. Communities That Care (CTC) offers a coalition training process to increase evidence-based practices that reduce youth injury risk factors.MethodUsing a non-experimental design, this study made use of population-based hospital admissions data to evaluate the impact on injuries for 15 communities that implemented CTC between 2001 and 2017 in Victoria, Australia. Negative binomial regression models evaluated trends in injury admissions (all, unintentional and transport), comparing CTC and non-CTC communities across different age groups.ResultsStatistically significant relative reductions in all hospital injury admissions in 0–4 year olds were associated with communities completing the CTC process and in 0–19 year olds when communities began their second cycle of CTC. When analysed by subgroup, a similar pattern was observed with unintentional injuries but not with transport injuries.ConclusionThe findings support CTC coalition training as an intervention strategy for preventing youth hospital injury admissions. However, future studies should consider stronger research designs, confirm findings in different community contexts, use other data sources and evaluate intervention mechanisms.

scholarly journals Smoke-free legislation and childhood hospitalisations for respiratory tract infections

2015 ◽  
Vol 46 (3) ◽  
pp. 697-706 ◽  
Author(s):  
Jasper V. Been ◽  
Christopher Millett ◽  
John Tayu Lee ◽  
Constant P. van Schayck ◽  
Aziz Sheikh
Keyword(s):  
Respiratory Tract ◽  
Respiratory Tract Infections ◽  
Negative Binomial ◽  
Hospital Admissions ◽  
Negative Binomial Regression ◽  
Second Hand Smoke ◽  
Incidence Trends ◽  
Group Sex ◽  
Tract Infections ◽  
The Impact

Second-hand smoke exposure is a major risk factor for respiratory tract infections (RTIs). Although evidence suggests important early-life health benefits of smoke-free public environments, the impact on childhood RTIs is unclear. We investigated the association between England's smoke-free legislation and childhood RTI hospitalisations.We used the Hospital Episode Statistics database to obtain nationwide data on hospital admissions for acute RTIs among children (<15 years of age) from 2001 to 2012. Hospitalisation counts were disaggregated by month, age group, sex and small-area level, and linked to urbanisation, region, deprivation index and corresponding population estimates. Negative binomial regression analyses were adjusted for confounders, seasonal variation, temporal autocorrelation, population-size changes and underlying incidence trends. Models allowed for sudden and gradual changes following the smoke-free legislation. We performed sensitivity and subgroup analyses, and estimated number of events prevented.We analysed 1 651 675 hospital admissions. Introduction of smoke-free legislation was followed by an immediate reduction in RTI admissions (−3.5%, 95% CI −4.7– −2.3%), this mainly being attributable to a decrease in lower RTI admissions (−13.8%, 95% CI −15.6– −12.0%). The reductions in admissions for upper RTI were more incremental.The introduction of national smoke-free legislation in England was associated with ∼11 000 fewer hospital admissions per year for RTIs in children.

scholarly journals Importance of respiratory syncytial virus as a predictor of hospital length of stay in bronchiolitis

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 110
Author(s):  
Jefferson Antonio Buendia ◽  
Diana Guerrero Patino
Keyword(s):  
Hospital Stay ◽  
Negative Binomial ◽  
Length Of Hospital Stay ◽  
Negative Binomial Regression ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Negative Binomial Regression Model ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Syncytial Virus

IIntroduction : Bronchiolitis is the leading cause of hospitalization in children. Estimate potentially preventable variables that impact the length of hospital stay are a priority to reduce the costs associated with this disease. This study aims to identify clinical variables associated with length of hospital stay of bronchiolitis in children in a tropical middle-income country Methods: We conducted a retrospective cohort study in 417 infants with bronchiolitis in tertiary centers in Colombia. All medical records of all patients admitted throughto the emergency department were reviewed. To identify factors independently associated we use negative binomial regression model, to estimate incidence rate ratios (IRR) and adjust for potential confounding variables Results : The median of the length of hospital stay was 3.68 days, with a range of 0.774 days to 29 days, 138 (33.117%) of patients have a hospital stay of 5 or more days. After modeling and controlling for potential confounders age <6 months, comorbidities (CHD or neurological), BPD,  chest indrawing, Detection of RSV isolation, and C-reactive protein were independent predictors of LOS Conclusions : Our results show that in infants with bronchiolitis, Detection of RSV isolation, age <6 months, comorbidities (CHD or neurological), BPD,  chest indrawing, and C-reactive protein were independent predictors of LOS. As a potentially modifiable risk factor, efforts to reduce the probability of RSV infection can reduce the high medical cost associates with prolonged LOS in bronchiolitis.

scholarly journals Sentinel surveillance of suspected opioid-related poisonings and injuries: trends and context derived from the electronic Canadian Hospitals Injury Reporting and Prevention Program, March 2011 to June 2017

2018 ◽  
Vol 38 (9) ◽  
pp. 317-327 ◽  
Author(s):  
Minh T. Do ◽  
Vicky C. Chang ◽  
Semra Tibebu ◽  
Wendy Thompson ◽  
Anne-Marie Ugnat
Keyword(s):  
Risk Factors ◽  
Prevention Program ◽  
Negative Binomial ◽  
Public Health Problem ◽  
Negative Binomial Regression ◽  
Major Public Health Problem ◽  
Opioid Use ◽  
Annual Percent Change ◽  
Injury Reporting ◽  
Hospital Emergency Departments

Introduction The opioid epidemic is currently a major public health problem in Canada. As such, knowledge of upstream risk factors associated with opioid use is needed to inform injury prevention, health promotion and harm reduction efforts. Methods We analyzed data extracted from 11 pediatric and 6 general hospital emergency departments (EDs) as part of the electronic Canadian Hospitals Injury Reporting and Prevention Program (eCHIRPP) from March 2011 to June 2017. We identified suspected opioid-related injuries using search strings and manually verified them. We computed age-adjusted and sex-stratified proportionate injury ratios (PIRs) and 95% confidence intervals (CIs) to compare opioid-related injuries to all injuries in eCHIRPP. Negative binomial regression was used to determine trends over time. We conducted qualitative analyses of narratives to identify common themes across life stages. Results Between March 2011 and June 2017, 583 suspected opioid-related poisoning/ injury cases were identified from eCHIRPP. Most of the cases were females (55%). Many of the injuries occurred in patients’ own homes (51%). Forty-five percent of the injuries were intentional self-harm. Among children (aged 1–9 years), most injuries were caused by inadvertent consumption of opioids left unattended. Among youth (aged 10–19 years) and adults (aged 20–49 years), opioid use was associated with underlying mental illness. Overall, the average annual percent change (AAPC) in the rate of injuries (per 100 000 eCHIRPP cases) has been increasing since 2012 (AAPC = 11.9%, p $lt; .05). The increase is particularly evident for males (AAPC = 16.3%, p $lt; .05). Compared to other injuries, people with suspected opioid-related injuries were more likely to be admitted to hospital (PIR = 5.3, 95% CI: 4.6–6.2). Conclusion The upstream determinants of opioid-related injuries are complex and likely vary by subpopulations. Therefore, continued monitoring of risk factors is important in providing the evidence necessary to prevent future overdoses and deaths.

scholarly journals Educational inequalities in hospital care for mortally ill patients in Norway

2017 ◽  
Vol 46 (1) ◽  
pp. 74-82 ◽  
Author(s):  
Jon Ivar Elstad
Keyword(s):  
Fixed Effects ◽  
Causes Of Death ◽  
Negative Binomial ◽  
Hospital Admissions ◽  
Negative Binomial Regression ◽  
Educational Inequalities ◽  
Residential Areas ◽  
Geographical Differences ◽  
Medical Needs ◽  
Low Educated

Aims: Health care should be allocated fairly, irrespective of patients’ social standing. Previous research suggests that highly educated patients are prioritized in Norwegian hospitals. This study examines this contentious issue by a design which addresses two methodological challenges. Control for differences in medical needs is approximated by analysing patients who died from same causes of death. Area fixed effects are used for avoiding that observed educational inequalities are contaminated by geographical differences. Methods: Men and women who died 2009–2011 at age 55–94 were examined ( N=103,000) with register data from Statistics Norway and the Norwegian Patient Registry. Educational differences in quantity of hospital-based medical care during the 12–24 months before death were analysed, separate for main causes of death. Multivariate negative binomial regression models were estimated, with fixed effects for residential areas. Results: High-educated patients who died from cancers had significantly more outpatient consultations at somatic hospitals than low-educated patients during an average observation period of 18 months prior to death. Similar, but weaker, educational inequalities appeared for outpatient visits for patients whose deaths were due to other causes. Also, educational inequalities in number of hospital admissions were marked for those who died from cancers, but insignificant for patients who died from other causes. Conclusions: Even when medical needs are similar for mortally ill patients, those with high education tend to receive more medical services in Norwegian somatic hospitals than patients with low education. The roles played by physicians and patients in generating these patterns should be explored further.

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