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Intention to change drinking behaviour in general practice patients with problematic drinking and comorbid depression or anxiety.

AIMS: This paper examines the interaction of intention to change drinking behaviour with comorbid depression and anxiety in pro-actively recruited individuals with a range of drinking problems. METHODS: Cross-sectional data of 408 general practice (GP) patients aged 18-64 years, who meet the diagnostic criteria of alcohol dependence or abuse according to DSM-IV, criteria of at-risk drinking or binge drinking, were drawn from a brief intervention study. Of the sample, 89 participants were diagnosed with comorbid anxiety and/or depressive disorders. The Transtheoretical Model (TTM) of behaviour change constructs: stages and processes of change, self-efficacy, and decisional balance were assessed in relation to presence and absence of the respective psychiatric disorders. RESULTS: Analysis including all categories of problematic drinking revealed comorbid anxiety and/or depression to be significantly related to later stages of change. Within subgroups, this was only true for alcohol abuse, not for dependence, at-risk or binge drinking. In addition, comorbidity was related to higher use of processes of change and more pros and cons of drinking, when compared to non-comorbid participants. Comorbid individuals showed higher temptation to drink and lower self-efficacy to abstain from drinking. Separate analyses of readiness to change drinking between the categories anxiety/no comorbidity and depression/no comorbidity both obtained significance, while for anxiety disorders, this was more profound. A multinomial logistic regression analysis revealed that adverse consequences better predicted readiness to change when compared to comorbidity. DISCUSSION: Individuals with problematic drinking and comorbid anxiety or depression may be well accessible for pro-active intervention to reduce drinking. Strategies should focus on the enhancement of coping skills to control temptation and self-efficacy.

Adolescent↗

Adolescent psychopathology: III. The clinical consequences of comorbidity.

OBJECTIVE: To describe the clinical consequences associated with the lifetime occurrence of comorbid psychiatric disorders. METHOD: In a community sample of 1,507 older adolescents (aged 14 through 18 years), subjects with "pure" and comorbid forms of four major psychiatric disorders (depression, anxiety, substance use, and disruptive behavior) were compared on six clinical outcome measures. RESULTS: The impact of comorbidity was strongest for academic problems, mental health treatment utilization, and past suicide attempts; intermediate on measures of role functioning and conflict with parents; and nonsignificant on physical symptoms. The greatest incremental impact of comorbidity was on anxiety disorders; the least was on substance use disorders. Although some patterns of comorbidity were much more common in boys (e.g., substance use and disruptive behavior disorder) or in girls (e.g., depression and anxiety), the impact of specific comorbid disorders on the clinical measures was not different for females and males. The effect of comorbidity was not due to current psychopathology. CONCLUSIONS: The significance of comorbidity differs across specific comorbid disorders and across outcome measures, with some comorbid disorders being much more detrimental, and some outcome measures much more affected, than others.

Adolescent↗

Rates and patterns of comorbidity of adolescent behavioral syndromes as reported by parents and teachers in a Taiwanese nonreferred sample.

OBJECTIVE: To evaluate the rates and patterns of comorbidity between behavioral syndromes in adolescents as reported by parents and teachers. Whether the patterns of comorbidity were "epiphenomenal" was also assessed. METHOD: Parents of 854 randomly selected students (response rate = 88%) in Taipei in 1996 completed the Child Behavior Checklist; among them, 240 also were randomly selected to have the Teacher's Report Form completed by their teachers. In addition to bidirectional comorbidity rates, odds ratios with and without other comorbid pairs controlled for were estimated via multiple logistic regressions. RESULTS: High comorbidity rates between behavioral syndromes were found in adolescents as reported both by parents and teachers except for that of Somatic Complaints with other syndromes. When other comorbidity pairs were controlled for, the comorbidity rates between Anxious/Depressed with externalizing syndromes turned out to be epiphenomenal, whereas those between externalizing syndromes remained high for both informants' reports. Attention Problems also remained significantly comorbid with other syndromes in the multiple logistic regressions except for that of Aggressive Behavior in the Teacher's Report Form sample. CONCLUSION: High comorbidity rates between adolescent behavioral syndromes exist in both parents' and teachers' reports, and it is important to control for the epiphenomenal condition when assessing such comorbidity rates.

Adolescent↗

Validation of the Charlson comorbidity index in patients with head and neck cancer: a multi-institutional study.

Comorbid conditions are medical illnesses that accompany cancer. The impact of these conditions on the outcome of patients with head and neck cancer is well established. However, all of the comorbidity studies in patients with head and neck cancer reported in the literature have been performed using the Kaplan-Feinstein index (KFI), which may be too complicated for routine use. This study was performed to introduce and validate the use of the Charlson comorbidity index (CI) in patients with head and neck cancer and to compare it with the Kaplan-Feinstein comorbidity index for accuracy and ease of use. Study design was a retrospective cohort study. The study population was drawn for three academic tertiary care centers and included 88 patients 45 years of age and under who underwent curative treatment for head and neck cancer. All patients were staged by the KFI and the CI for comorbidity and divided into two groups based on the comorbidity severity staging. Group 1 included patients with advanced comorbidity (stages 2 or 3), and group 2 included those with low-level comorbidity (stages 0 or 1). Outcomes were compared based on these divisions. The KFI was successfully applied to 80% of this study population, and the CI was successfully applied in all cases (P < 0.0001). In addition, the KFI was found to be more difficult to use than the CI (P < 0.0001). However, both indices independently predicted the tumor-specific survival (P = 0.007), even after adjusting for the confounding effects of TNM stage by multivariate analysis. Overall, the CI was found to be a valid prognostic indicator in patients with head and neck cancer. In addition, because comorbidity staging by the CI independently predicted survival, was easier to use, and more readily applied, it may be better suited for use for retrospective comorbidity studies.

Adult↗

Chemoradiation for metastatic SCCA: role of comorbidity.

OBJECTIVES: A previous study of 371 patients with extracapsular spread (ECS) of cervical metastases from squamous cell carcinoma (SCCA) of the head and neck revealed a survival advantage for patients treated with adjuvant chemoradiation, compared with those treated with surgery and radiation or surgery alone. While all patients in the study were offered adjuvant chemotherapy, only 35% selected this option. Comorbidity was identified as a reason for declining chemotherapy. Recently, Piccirillo demonstrated that the Modified Medical Comorbidity Index (MMCI) is a valid instrument to classify and quantify severity of comorbidity. We applied this instrument to previously reported patients with ECS to determine 1) how comorbidity affected treatment selection, 2) whether the survival advantage of adjuvant chemoradiation persisted after controlling for comorbidity, and 3) the impact of comorbidity on outcome. STUDY DESIGN: This was a nonrandomized, retrospective study. METHODS: Patients in the initial study underwent resection of the primary tumor and neck dissection. Eligible patients elected to receive chemoradiation, radiation, or no further treatment. Comorbidity scores were assigned according to the MMCI. Data were analyzed according to disease-specific survival and overall survival. RESULTS: The study population consisted of 330 patients. More severe comorbidity was related to higher overall mortality rates after controlling for treatment. Adjuvant chemoradiation resulted in improved disease-specific and overall survival compared with adjuvant radiation after adjusting for severity of comorbidity. CONCLUSIONS: These results substantiate the benefits of adjuvant chemoradiation for patients with SCCA of the head and neck. Furthermore, these results reinforce the importance of comorbidity as a prognostic indicator for this population of patients.

Antineoplastic Combined Chemotherapy Protocols↗

Comorbidity measures for use with administrative data.

OBJECTIVES: This study attempts to develop a comprehensive set of comorbidity measures for use with large administrative inpatient datasets. METHODS: The study involved clinical and empirical review of comorbidity measures, development of a framework that attempts to segregate comorbidities from other aspects of the patient's condition, development of a comorbidity algorithm, and testing on heterogeneous and homogeneous patient groups. Data were drawn from all adult, nonmaternal inpatients from 438 acute care hospitals in California in 1992 (n = 1,779,167). Outcome measures were those commonly available in administrative data: length of stay, hospital charges, and in-hospital death. RESULTS: A comprehensive set of 30 comorbidity measures was developed. The comorbidities were associated with substantial increases in length of stay, hospital charges, and mortality both for heterogeneous and homogeneous disease groups. Several comorbidities are described that are important predictors of outcomes, yet commonly are not measured. These include mental disorders, drug and alcohol abuse, obesity, coagulopathy, weight loss, and fluid and electrolyte disorders. CONCLUSIONS: The comorbidities had independent effects on outcomes and probably should not be simplified as an index because they affect outcomes differently among different patient groups. The present method addresses some of the limitations of previous measures. It is based on a comprehensive approach to identifying comorbidities and separates them from the primary reason for hospitalization, resulting in an expanded set of comorbidities that easily is applied without further refinement to administrative data for a wide range of diseases.

Adult↗

Optimizing risk stratification in cardiac rehabilitation with inclusion of a comorbidity index.

PURPOSE: The risk stratification criteria of the American Association of Cardiovascular and Pulmonary Rehabilitation include guidelines to be used in stratifying cardiac rehabilitation (CR) patients for risk of disease progression (long term) and clinical events (short term). Noncardiac comorbidities are not included as indicators in these criteria. This study was designed to ascertain the prevalence of noncardiac comorbidities among CR patients, and to assess their relation to the current risk stratification algorithm for clinical events. METHODS: Patients were stratified into high-, intermediate-, and low-risk groups according to the American Association of Cardiovascular and Pulmonary Rehabilitation risk stratification criteria for clinical events (ARSE) at program entry. Within each risk group, age, gender, race, and noncardiac comorbidities were ascertained. Comorbidities were summarized in a comorbidity index (CMI). The relation between clinical events and risk status by ARSE and CMI was evaluated by logistic regression. RESULTS: Among 490 patients (age, 60 +/- 12 years; 35% women; 30% nonwhite) enrolled in CR with ischemic heart disease, the number of comorbidities ranged from 0 to 7 (median, 2; 75th percentile, 3). The patients categorized in the three ARSE groups differed significantly in age and comorbidities. Although ARSE tended to identify patients with a greater comorbidity burden, 38% of the patients with a comorbidity index exceeding the 75th percentile were not classified in the highest ARSE group. Clinical events increased across ARSE and CMI risk strata. Both ARSE and CMI were independent predictors of events in an age-, gender-, and race-adjusted logistic regression analysis (ARSE odds ratio [OR], 1.56; 95% confidence interval [CI], 1.14-2.12; CMI OR, 1.23, 95% CI, 1.03a-1.47). Events were predicted best when both classifications were combined. Exploratory gender-specific analyses suggested that ARSE performed better among men than among women, whereas CMI was a more important predictor among women. CONCLUSIONS: To appreciate more fully the overall complexity of disease among CR patients, ARSE should be supplemented not only with the inclusion of cardiac risk factors, as suggested in the current guidelines, but also with an assessment of noncardiac comorbidities.

Age Factors↗

The effects of age and comorbidity on treatment and outcomes in women with endometrial cancer.

BACKGROUND: Although the incidence of endometrial cancer increases with age, the effect of patient age on treatment selection and outcomes is unclear. In addition, although aging is associated with increased prevalence of comorbid conditions, the extent to which comorbidities influence endometrial cancer management is not well documented. METHODS: This population-based analysis evaluates the effect of age and comorbidity on endometrial cancer treatment and outcome in a cohort of 401 patients referred to the Vancouver Island Centre, British Columbia Cancer Agency from 1989 to 1996. Treatment and 5-year actuarial overall survival (OS) and disease-free survival (DFS) were compared by age at diagnosis (<65, 65-74, and > or =75 years) and comorbidity index (Charlson score 0-1 and > or =2). RESULTS: Median follow-up time was 7.8 years. In this cohort, 148 (37%), 152 (38%), and 101 (25%) were aged <65, 65-74, and > or =75 years, respectively. Charlson comorbidity scores > or =2 were found in 18% of patients. Distributions of disease stage, tumor characteristics, and surgical therapy were similar across age and comorbidity subgroups. Standard surgery in this cohort comprised hysterectomy without routine lymphadenectomy. In stage Ic disease, the use of postoperative RT declined with advanced age (96%, 97%, and 74% in patients aged <65, 65-74, and > or =75 years, respectively, P = 0.05) and with increased comorbidities (91% and 79% in patients with Charlson score 0-1 and > or =2, respectively, P = 0.07). Among stage Ic patients aged > or =75 years, pelvic/vaginal relapse occurred in 2 of 6 patients treated with hysterectomy alone compared with 0 of 20 patients treated with postoperative radiotherapy (P = 0.006). On multivariable Cox modeling, age at diagnosis, performance status, stage, grade, lymphovascular invasion, surgery, and radiotherapy use, but not Charlson comorbidity score, were significant predictors for overall survival. CONCLUSIONS: Although surgical therapy for endometrial cancer was not influenced by age or comorbidities, reduced use of postoperative radiotherapy in stage Ic disease was observed among women with advanced age and high comorbidity index. The associated pelvic/vaginal relapse rates were higher in elderly patients not treated with radiotherapy. Chronologic age alone should not preclude patients from consideration of optimal local therapy.

Adult↗

Pharmacotherapy for bipolar disorder and comorbid conditions: baseline data from STEP-BD.

Relatively absent from previous studies of the pharmacotherapy for bipolar disorder is examination of the impact of comorbidity on treatment choices. This has occurred despite the presence of high levels of comorbid anxiety and substance use disorders, and the association of these disorders with severity and course markers of bipolar disorder. In this study, we examined comorbid disorders, identified by structured interviews, and the pharmacotherapy reported at study entry by the first 1000 patients entered into a large, multicenter study of bipolar disorder (Systematic Treatment Enhancement Program for Bipolar Disorder). Our study focused on the degree to which comorbid conditions are linked to the reported use of mood stabilizers deemed "minimally adequate" and the association between specific comorbidities and pharmacotherapy treatment, such as the use of anxiolytics in patients with anxiety disorders. Despite the presence of high levels of comorbidity, the presence of these disorders was only minimally associated with pharmacotherapy. Of the sample of bipolar outpatients, only 59% reported pharmacotherapy use meeting criteria for "minimally adequate" mood stabilizer, regardless of comorbid diagnoses, rapid cycling, or bipolar I or II status. Moreover, the cross-sectional use of "comorbidity-specific" pharmacotherapy for anxiety disorders, substance use disorders, and attention deficit disorder in this outpatient sample of patients with bipolar disorders was limited, suggesting that comorbid conditions in patients with bipolar disorder may be undertreated. Our findings highlight the need for greater clinical guidance and treatment options for patients with bipolar disorder and comorbidity.

Adult↗

Axes I and II comorbidity and treatment experiences in eating disorder subjects.

BACKGROUND: The present study determined the psychiatric comorbidity of Axes I and II in a sample of subjects with eating disorders (EDs). The objective was to investigate associations between comorbidity and current and past treatment. METHODS: In a sample of 248 women (77 anorexia nervosa, 137 bulimia nervosa, 34 eating disorders not otherwise specified), psychiatric comorbidity of Axes I and II was determined with the Structured Clinical Interview of DSM-IV. Current and past treatment since ED onset were also assessed. RESULTS: High levels of psychiatric comorbidity were found in the total sample (71% Axis I and 68% Axis II). Only 17% of cases had no psychiatric comorbidity. Anxiety (52%) and affective disorders (50%) were the most common Axis I diagnoses. Personality disorders of Clusters C (52%) and B (23%) were most common for Axis II. Twenty-one percent of participants who were not in treatment at the time had a history of inpatient treatment, and an additional 59% had a history of outpatient treatment. Thirty-eight percent of participants currently in outpatient treatment had a history of inpatient treatment. Participants with multiple comorbidity (Axes I and II) had the highest proportion of cases who had been treated by health professionals. Higher levels of comorbidity were associated with experiences in more intense treatment settings (ranging from no treatment to inpatient treatment). CONCLUSIONS: ED subjects with greater comorbidity require more treatment encounters and more intense treatment settings. The association between comorbidity and treatment experiences may represent a bias in the assessment of comorbidity when samples with heterogeneous treatment history are recruited.

Adolescent↗

Population-based study of medical comorbidity in early dementia and "cognitive impairment, no dementia (CIND)": association with functional and cognitive impairment: The Cache County Study.

OBJECTIVE: Authors investigated medical comorbidity in persons with dementia and "Cognitive Impairment, No Dementia" (CIND). METHODS: The Cache County Study is an ongoing population-based study of the epidemiology of dementia, the risk factors for conversion from CIND to dementia, and the progression of dementia. As part of the study's first incidence wave, persons with dementia (N=149), CIND (N=225), or without cognitive impairment (N=321) were identified and studied. Participants received comprehensive clinical evaluations and were rated on the General Medical Health Rating (GMHR), a global measure of seriousness of medical comorbidity. Participants and informants also completed the Mini-Mental State Exam and provided self-report information about comorbid medical conditions and functioning in activities of daily living. RESULTS: There were few differences in number or type of comorbid medical conditions between persons with CIND and dementia, but persons with dementia were prescribed more medications. Stroke was more common in dementia participants, but other illnesses common in old age were not significantly different across cognitive groups. Medical comorbidity was more serious in both dementia and CIND, such that both groups were less likely to have "little to no" comorbidity. Seriousness of medical comorbidity was significantly associated with worse day-to-day functioning and cognition. CONCLUSIONS: Persons with CIND and dementia have more serious medical comorbidity than comparable persons without cognitive impairment. This comorbidity may play a role in the progression of CIND and dementia. Future studies should investigate the role of medical comorbidity and its treatment on dementia onset or progression, as well as the mechanisms mediating its neuropathologic effects.

Activities of Daily Living↗

Comorbidity of axis I and axis II disorders in patients who attempted suicide.

OBJECTIVE: The authors compared the characteristics of suicide attempters with and without comorbid psychiatric and personality disorders to identify factors that explain the high suicide risk associated with psychiatric comorbidity. METHOD: A representative group of 111 patients who had attempted suicide (72 female and 39 male) was assessed for psychiatric and personality disorders according to ICD-10 criteria. The characteristics of patients with both types of disorder were compared with those of patients without comorbid disorders. A semistructured interview schedule and standardized questionnaires were used to investigate patients' background characteristics, the circumstances of the suicide attempts, psychological characteristics, and outcome after 12-20 months. RESULTS: Comorbidity of psychiatric and personality disorders was present in 49 patients (44%). More patients with comorbid disorders had made previous suicide attempts (N=41 [84%] versus N=28 [45%]) and repeated attempts during the follow-up period (N=25 [51%] versus N=9 [15%]). Differences in precipitants and motives for the index episode were also found: patients with comorbid disorders were more depressed and hopeless, reported more episodes of aggression, were more impulsive, and had lower self-esteem and poorer problem-solving skills. Differences in self-esteem and problem-solving skills distinguished between the groups in a stepwise discriminant function analysis. More of the patients with comorbid disorders reported not being loved by their parents and parental suicidal behavior. CONCLUSIONS: Suicide attempters with comorbid psychiatric and personality disorders show marked differences from those without both of these disorders. Comorbidity may contribute to greater suicide risk. Some of the characteristics of patients with comorbid disorders pose major clinical challenges that should be addressed in an effort to reduce suicide risk.

Adolescent↗

The attention-deficit hyperactivity disorder paradox: 2. Phenotypic variability in prevalence and cost of comorbidity.

The objective of this study was to use population-based data to estimate the cost and phenotypic variation of conditions comorbid with attention-deficit hyperactivity disorder (ADHD). The North Dakota Department of Health's Claims Database was used to estimate the administrative prevalence, rates of comorbidity, and cost of care for subjects with ADHD. The case population was 7745 children. We then examined the 10 most frequent comorbidities for a defined condition in the International Classification of Diseases-9th edition (ICD-9). The observed prevalence of general health conditions was 12 to 70% less than expected. The presence of a comorbid condition resulted in increases in costs of care of dollar 381 to dollar 731 per case per year. The observed prevalence of comorbid mental health conditions was 97 to 5286% higher than expected. The prevalence of conditions comorbid with ADHD varies widely, with rates of general medical conditions decreased and rates of most mental disorders increased. The costs for comorbidity with general health conditions were offset by large decreases in prevalence rates compared with controls. We identified an ADHD paradox: decreased rates of comorbid general health conditions and increased rates of comorbid mental disorders. Further research on comorbidity in ADHD is required.

Attention Deficit Disorder with Hyperactivity↗

Differential prognostic impact of comorbidity.

PURPOSE: Cancer patients with concurrent comorbid conditions have worse outcomes than patients with no comorbidities. We hypothesized that the prognostic impact of comorbidities would be greatest for patients with cancers associated with a long natural history and least in patients with aggressive cancers. PATIENTS AND METHODS: Using the Barnes-Jewish Hospital Oncology Data Services cancer registry, we grouped 11,558 patients with breast, lung, colon, or prostate cancer by morphologic stage at diagnosis and then determined the 1-year overall survival rate for each group. Overall, severity of comorbidity was assessed from chart review and classified into one of four groups: none, mild, moderate, or severe. The relative prognostic impact of comorbidity was measured by the hazard ratio and adjusted for the prognostic impact of age, race, and sex. RESULTS: One-year overall survival rate ranged from 20% for 1,005 patients with distant spread of lung cancer to 98% for 3,325 patients with localized prostate cancer. Adjusted hazard ratio of moderate/severe comorbidity (relative to none/mild) ranged from 1.04 to 4.48. The correlation between overall survival rate and severity of comorbidity was statistically significant (r2 = 0.56; P < .001). The proportion of variance in outcome explained by comorbidity ranged from less than 1% to almost 9%, depending on tumor site and stage. CONCLUSION: Concurrent comorbidities had the greatest prognostic impact among groups with the highest survival rate and the least impact in groups with the lowest survival rate. These findings can be used to help determine the role comorbidity information should play in studies of cancer outcomes.

Aged↗

Comorbidity in arthritis.

OBJECTIVE: To describe the relative frequency of selected comorbidities in 2 population based prevalence cohorts of patients with rheumatoid arthritis (RA) and osteoarthritis (OA) compared to age and sex matched community controls. METHODS: Using the population based data resources of the Rochester Epidemiology Project, we assembled 3 prevalence cohorts of all residents of Olmsted County, Minnesota, with RA (1987 American College of Rheumatology criteria) and age and sex matched controls without arthritis on January 1, 1965, January 1, 1975, and January 1, 1985. Cases and controls were followed longitudinally through their complete (inpatient and outpatient) medical records beginning 10 years prior to the prevalence (or index) date until death, migration from the county, or January 1, 1995. Comorbidity was assessed yearly using the Charlson Comorbidity Index and the Index of Co-existent Diseases (ICED). Descriptive statistics were used to illustrate the baseline characteristics of the study population and the frequency of individual comorbidities in each of the 3 groups over the followup period. Cox proportional hazards modeling was used to assess the risk for each individual comorbidity among patients with arthritis compared to controls and to identify significant predictors of an increase in comorbidity level over time. RESULTS: Our study population included 450 RA, 441 OA, and 891 control subjects. The age and sex distributions of cases and their controls were similar. Over the followup period, patients with RA had a higher likelihood of developing congestive heart failure, chronic pulmonary disease, dementia, and peptic ulcer disease, while cases with OA had a significantly higher risk of developing peptic ulcer disease and renal disease. Among patients with either RA or OA, age, male sex, and baseline comorbidity were significant predictors of a rise in comorbidity. The presence of RA was a highly significant predictor of a rise in comorbidity from one year to the next, even after controlling for the effects of age, sex, and baseline comorbidity (p = 0.0004 for the Charlson and p = 0.006 for the ICED). CONCLUSION: These data indicate that the burden of illness among people with arthritis is higher than for nonarthritics and that this burden appears to be increasing over time, particularly in RA. These results suggest that specialized chronic disease care will be increasingly important for the future health care needs of people with RA.

Arthritis, Rheumatoid↗

Comorbidity in patients with rheumatoid arthritis: effect on health-related quality of life.

OBJECTIVE: To describe the extent of somatic comorbid conditions in patients with rheumatoid arthritis (RA) and to assess the influence of comorbidity on health-related quality of life (HRQOL). METHODS: A 2-year followup study on health and HRQOL was conducted among 679 patients with RA with varying disease duration. Data were collected by means of questionnaires and clinical examinations at baseline and at 2-year followup. Comorbidity was measured by a self-administered questionnaire including 17 chronic diseases. HRQOL was assessed with the RAND-36. The effect of incident comorbid conditions on HRQOL was investigated with linear regression analyses. RESULTS: At least one comorbid condition was reported at baseline by 56% of patients. Significant differences in prevalence rates with the Dutch population were found. The effect of comorbidity on HRQOL depended on both the type of comorbid condition and the dimension of HRQOL. Gastrointestinal (GI) diseases, cancer, dizziness with falling (and less severe chronic pulmonary disease and heart complaints) resulted in significant adverse changes in HRQOL. For the other conditions under study no influence could be detected. CONCLUSION: Our results indicate that measuring comorbidity by a summary count, assuming an overall equally large effect of each comorbid condition, may not reveal the real effect. With respect to clinical practice, our results emphasize the relevance for health care providers to be aware of specific comorbid conditions exposing patients with RA at risk for additional impairment of HRQOL, and to be aware of interactions with RA that may be unique.

Adult↗

Development of a new head and neck cancer-specific comorbidity index.

BACKGROUND: Most patients with head and neck squamous cell carcinoma are older and may have coexistent or comorbid diseases. OBJECTIVES: To determine the prognostic impact of individual comorbid conditions in patients with head and neck cancer, to combine the individual comorbid conditions to form a new a head and neck-specific comorbidity instrument, and to compare it with the Modified Kaplan-Feinstein Index to determine if the new disease-specific instrument offers any improvement in survival prediction over a general comorbidity index. DESIGN: Retrospective review of medical records. POPULATION: The study population comprised 1153 patients with biopsy-proven, newly diagnosed squamous cell carcinoma of the oral cavity, oropharynx, or larynx. RESULTS: Seven comorbid conditions (congestive heart disease, cardiac arrhythmia, peripheral vascular disease, pulmonary disease, renal disease, cancer controlled, and cancer uncontrolled) were significantly related to survival. These comorbid conditions were assigned integer weights to reflect their relative prognostic importance and combined to create the new Washington University Head and Neck Comorbidity Index (WUHNCI). Survival was significantly related to levels of comorbidity severity as defined by the WUHNCI. The WUHNCI predicted survival better than the Modified Kaplan-Feinstein Index despite containing far fewer ailments. CONCLUSIONS: Comorbidity is an important feature of the patient with head and neck cancer. The WUHNCI can be used for retrospective review or prospective outcomes research.

Adolescent↗

Assessment of obesity-related comorbidities: a novel scheme for evaluating bariatric surgical patients.

BACKGROUND: Bariatric surgery serves as the superior means of achieving sustained weight loss and improvement in obesity-related comorbidities. Results of bariatric surgery have been reported qualitatively without standardized measurement of comorbidity response. The objective of this work was to develop a clinically based, standardized system for scaled assessment of the major comorbidities of obesity in patients undergoing bariatric surgery. STUDY DESIGN: We constructed a standardized grading scheme for the major comorbidities of obesity, with each condition scored from 0 to 5, according to severity. Data were prospectively collected on 226 patients. Ninety patients have already undergone gastric bypass and are being followed at regular intervals postoperatively. Longest current followup interval is 1 year. RESULTS: Preoperative evaluation of comorbidities identified a total of 1,356 medical disorders. Anatomic comorbidities were most prevalent as a category, although psychosocial impairment was the most common single condition. The majority of comorbidities in our patient population were graded mild (score of 1) to moderate (score of 3). Immediate (2 weeks) followup was available for all operated patients and ranged in number to 1 year postoperatively, depending on the date of operation. Statistically significant reduction in the severity of several comorbidities was observed at postoperative evaluation (p < 0.05). CONCLUSIONS: This scheme for assessment of obesity-related comorbidities facilitates evaluation of bariatric surgical patients. The system allows standardized preoperative characterization of a bariatric patient population and uniform postoperative longitudinal assessment of changes in comorbidities after weight reduction operation.

Adult↗