Category: Nevin Manimala

JMIR Med Inform. 2022 Jun 15;10(6):e37689. doi: 10.2196/37689.

ABSTRACT

BACKGROUND: Sepsis is diagnosed in millions of people every year, resulting in a high mortality rate. Although patients with sepsis present multimorbid conditions, including cancer, sepsis predictions have mainly focused on patients with severe injuries.

OBJECTIVE: In this paper, we present a machine learning-based approach to identify the risk of sepsis in patients with cancer using electronic health records (EHRs).

METHODS: We utilized deidentified anonymized EHRs of 8580 patients with cancer from the Samsung Medical Center in Korea in a longitudinal manner between 2014 and 2019. To build a prediction model based on physical status that would differ between sepsis and nonsepsis patients, we analyzed 2462 laboratory test results and 2266 medication prescriptions using graph network and statistical analyses. The medication relationships and lab test results from each analysis were used as additional learning features to train our predictive model.

RESULTS: Patients with sepsis showed differential medication trajectories and physical status. For example, in the network-based analysis, narcotic analgesics were prescribed more often in the sepsis group, along with other drugs. Likewise, 35 types of lab tests, including albumin, globulin, and prothrombin time, showed significantly different distributions between sepsis and nonsepsis patients (P<.001). Our model outperformed the model trained using only common EHRs, showing an improved accuracy, area under the receiver operating characteristic (AUROC), and F1 score by 11.9%, 11.3%, and 13.6%, respectively. For the random forest-based model, the accuracy, AUROC, and F1 score were 0.692, 0.753, and 0.602, respectively.

CONCLUSIONS: We showed that lab tests and medication relationships can be used as efficient features for predicting sepsis in patients with cancer. Consequently, identifying the risk of sepsis in patients with cancer using EHRs and machine learning is feasible.

PMID:35704364 | DOI:10.2196/37689

Percept Mot Skills. 2022 Jun 15:315125221108913. doi: 10.1177/00315125221108913. Online ahead of print.

ABSTRACT

The aim of this study was to investigate the effect of young tennis players’ expertise on their postural balance (PB) under sensorial conditions with eyes open (EO) and with eyes closed (EC). Our participants were 75 healthy adolescents aged 15-18 years, divided into three groups based on their skill levels: (a) national tennis players (NAT; n = 25), regional tennis players (REG; n =25), and a control group of non-sport practitioners (CG; n = 25). We recorded center of pressure area and mean velocity on a force platform while participants stood in bipedal and unipedal stances in EO and EC conditions for all three groups. Statistical analyses showed that NAT participants swayed less than CG participants in all conditions and less than REG participants in the bipedal stance with EC and in the unipedal stance, both with EO and EC. Thus, tennis practice/experience may have improved PB in this sample, as high-level tennis players had better PB compared to novices, especially in challenging conditions.

PMID:35704346 | DOI:10.1177/00315125221108913

JMIR Med Inform. 2022 Jun 15;10(6):e33921. doi: 10.2196/33921.

ABSTRACT

BACKGROUND: Little is known about family member involvement, by relationship status, for patients treated in the intensive care unit (ICU).

OBJECTIVE: Using documentation of family interactions in clinical notes, we examined associations between child and spousal involvement and ICU patient outcomes, including goals of care conversations (GOCCs), limitations in life-sustaining therapy (LLST), and 3-month mortality.

METHODS: Using a retrospective cohort design, the study included a total of 858 adult patients treated between 2008 and 2012 in the medical ICU at a tertiary care center in northeastern United States. Clinical notes generated within the first 48 hours of admission to the ICU were used with standard machine learning methods to predict patient outcomes. We used natural language processing methods to identify family-related documentation and abstracted sociodemographic and clinical characteristics of the patients from the medical record.

RESULTS: Most of the 858 patients were White (n=650, 75.8%); 437 (50.9%) were male, 479 (55.8%) were married, and the median age was 68.4 (IQR 56.5-79.4) years. Most patients had documented GOCC (n=651, 75.9%). In adjusted regression analyses, child involvement (odds ratio [OR] 0.81; 95% CI 0.49-1.34; P=.41) and child plus spouse involvement (OR 1.28; 95% CI 0.8-2.03; P=.3) were not associated with GOCCs compared to spouse involvement. Child involvement was not associated with LLST when compared to spouse involvement (OR 1.49; 95% CI 0.89-2.52; P=.13). However, child plus spouse involvement was associated with LLST (OR 1.6; 95% CI 1.02-2.52; P=.04). Compared to spouse involvement, there were no significant differences in the 3-month mortality by family member type, including child plus spouse involvement (OR 1.38; 95% CI 0.91-2.09; P=.13) and child involvement (OR 1.47; 95% CI 0.9-2.41; P=.12).

CONCLUSIONS: Our findings demonstrate that statistical models derived from text analysis in the first 48 hours of ICU admission can predict patient outcomes. Early child plus spouse involvement was associated with LLST, suggesting that decisions about LLST were more likely to occur when the child and spouse were both involved compared to the involvement of only the spouse. More research is needed to further understand the involvement of different family members in ICU care and its association with patient outcomes.

PMID:35704362 | DOI:10.2196/33921

JAMA Netw Open. 2022 Jun 1;5(6):e2217132. doi: 10.1001/jamanetworkopen.2022.17132.

ABSTRACT

IMPORTANCE: Incident atrial fibrillation (AF) is associated with an increased risk of dementia. However, data on the association between smoking cessation after AF diagnosis and dementia risk are limited.

OBJECTIVE: To evaluate the association between changes in smoking status after AF diagnosis and dementia risk.

DESIGN, SETTING, AND PARTICIPANTS: This nationwide cohort study with 126 252 patients used data from the Korean National Health Insurance Service database, including patients who had a national health checkup examination within 2 years before and after AF diagnosis between January 1, 2010, and December 31, 2016. Based on their smoking status, participants were classified as never smokers, ex-smokers, quit smokers, and current smokers. Ex-smokers were defined as those who had quit smoking before the first examination and remained quit until the second examination. Patients who were current smokers at the first health examination but had quit smoking before the second examination were classed as quit smokers. The index date was the second health examination. Patients were followed up until dementia, death, or the study period ended (December 31, 2017), whichever occurred first. Data were analyzed from January 13, 2020, to March 29, 2022.

EXPOSURES: Smoking cessation after newly diagnosed AF.

MAIN OUTCOMES AND MEASURES: Dementia, including Alzheimer disease and vascular dementia, was the primary outcome. Cox proportional hazards regression model was used to estimate hazard ratios.

RESULTS: A total of 126 252 patients (mean [SD] age, 62.6 [12.0] years; 61.9% men) were included in the analysis. The mean (SD) CHA2DS2-VASc score, which measures the risk of ischemic stroke, was 2.7 (1.7). Smoking status of the total study population was as follows: 65 579 never smokers (51.9%), 34 670 ex-smokers (27.5%), 8919 quit smokers (7.1%), and 17 084 current smokers (13.5%). During a median of 3 years of follow-up, dementia occurred in 5925 patients (1.11 per 1000 person-years). After multivariable adjustment, the risk of quit smokers was significantly lower than that of current smokers (hazard ratio, 0.83 [95% CI, 0.72-0.95]).

CONCLUSIONS AND RELEVANCE: The findings of this cohort study suggest that all types of smoking were associated with a significantly higher risk of dementia in patients with new-onset AF. Smoking cessation after AF diagnosis was associated with a lower risk of dementia than among current smokers. These findings may support promoting smoking cessation to reduce dementia risk in patients with new-onset AF.

PMID:35704317 | DOI:10.1001/jamanetworkopen.2022.17132

JAMA Netw Open. 2022 Jun 1;5(6):e2217223. doi: 10.1001/jamanetworkopen.2022.17223.

ABSTRACT

IMPORTANCE: Claims of dramatic increases in clinically significant anxiety and depression early in the COVID-19 pandemic came from online surveys with extremely low or unreported response rates.

OBJECTIVE: To examine trend data in a calibrated screening for clinically significant anxiety and depression among adults in the only US government benchmark probability trend survey not disrupted by the COVID-19 pandemic.

DESIGN, SETTING, AND PARTICIPANTS: This survey study used the US Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System (BRFSS), a monthly state-based trend survey conducted over the telephone. Participants were adult respondents in the 50 US states and District of Columbia who were surveyed March to December 2020 compared with the same months in 2017 to 2019.

EXPOSURES: Monthly state COVID-19 death rates.

MAIN OUTCOMES AND MEASURES: Estimated 30-day prevalence of clinically significant anxiety and depression based on responses to a single BRFSS item calibrated to a score of 6 or greater on the 4-item Patient Health Questionnaire (area under the receiver operating characteristic curve, 0.84). All percentages are weighted based on BRFSS calibration weights.

RESULTS: Overall, there were 1 429 354 respondents, with 1 093 663 in 2017 to 2019 (600 416 [51.1%] women; 87 153 [11.8%] non-Hispanic Black; 826 334 [61.5%] non-Hispanic White; 411 254 [27.8%] with college education; and 543 619 [56.8] employed) and 335 691 in 2020 (182 351 [51.3%] women; 25 517 [11.7%] non-Hispanic Black; 250 333 [60.5%] non-Hispanic White; 130 642 [29.3%] with college education; and 168 921 [54.9%] employed). Median within-state response rates were 45.9% to 49.4% in 2017 to 2019 and 47.9% in 2020. Estimated 30-day prevalence of clinically significant anxiety and depression was 0.4 (95% CI, 0.0 to 0.7) percentage points higher in March to December 2020 (12.4%) than March to December 2017 to 2019 (12.1%). This estimated increase was limited, however, to students (2.4 [95% CI, 0.8 to 3.9] percentage points) and the employed (0.9 [95% CI, 0.5 to 1.4] percentage points). Estimated prevalence decreased among the short-term unemployed (-1.8 [95% CI, -3.1 to -0.5] percentage points) and those unable to work (-4.2 [95% CI, -5.3 to -3.2] percentage points), but did not change significantly among the long-term unemployed (-2.1 [95% CI, -4.5 to 0.5] percentage points), homemakers (0.8 [95% CI, -0.3 to 1.9] percentage points), or the retired (0.1 [95% CI, -0.6 to 0.8] percentage points). The increase in anxiety and depression prevalence among employed people was positively associated with the state-month COVID-19 death rate (1.8 [95% CI, 1.2 to 2.5] percentage points when high and 0.0 [95% CI, -0.7 to 0.6] percentage points when low) and was elevated among women compared with men (2.0 [95% CI, 1.4 to 2.5] percentage points vs 0.2 [95% CI, -0.1 to 0.6] percentage points), Non-Hispanic White individuals compared with Hispanic and non-Hispanic Black individuals (1.3 [95% CI, 0.6 to 1.9] percentage points vs 1.1 [95% CI, -0.2 to 2.5] percentage points and 0.7 [95% CI, -0.1 to 1.5] percentage points), and those with college educations compared with less than high school educations (2.5 [95% CI, 1.9 to 3.1] percentage points vs -0.6 [95% CI, -2.7 to 1.4] percentage points).

CONCLUSIONS AND RELEVANCE: In this survey study, clinically significant US adult anxiety and depression increased less during 2020 than suggested by online surveys. However, this modest aggregate increase could mask more substantial increases in key population segments (eg, first responders) and might have become larger in 2021 and 2022.

PMID:35704316 | DOI:10.1001/jamanetworkopen.2022.17223

JAMA Netw Open. 2022 Jun 1;5(6):e2217228. doi: 10.1001/jamanetworkopen.2022.17228.

ABSTRACT

IMPORTANCE: In the US, suicide is the 10th leading cause of death and a serious mental health emergency. National programs that address suicide list access to mental health care as key in prevention, and more large-scale policies are needed to improve access to mental health care and address this crisis. The Patient Protection and Affordable Care Act (ACA) Medicaid Expansion Program was implemented in several states with the goal of increasing access to the health care system.

OBJECTIVE: To compare changes in suicide rates in states that expanded Medicaid under the ACA vs states that did not.

DESIGN, SETTING, AND PARTICIPANTS: In this cross-sectional study, state-level mortality rates were obtained from the National Center for Health Statistics for US individuals aged 20 to 64 years from January 1, 2000, to December 31, 2018. Data analysis was performed from April 18, 2021, to April 15, 2022.

EXPOSURES: Changes in suicide mortality rates among nonelderly adults before and after Medicaid expansion in expansion and nonexpansion states were compared using adjusted difference-in-differences analyses via hierarchical bayesian linear regression.

MAIN OUTCOMES AND MEASURES: Suicide rates using death by suicide as the primary measure.

RESULTS: Of the total population at risk for suicide, 50.4% were female, 13.3% were Black, 79.5% were White, and 7.2% were of other races. The analytic data set contained suicide mortality data for 2907 state-age-year units covering the general US population. A total of 553 912 deaths by suicide occurred during the study period, with most occurring in White (496 219 [89.6%]) and male (429 580 [77.6%]) individuals. There were smaller increases in the suicide rate after 2014 in Medicaid expansion (2.56 per 100 000 increase) compared with nonexpansion states (3.10 per 100 000 increase). In adjusted difference-in-differences analysis, a significant decrease of -0.40 (95% credible interval, -0.66 to -0.14) suicides per 100 000 individuals was found, translating to 1818 suicides that were averted in 2015 to 2018.

CONCLUSIONS AND RELEVANCE: In this cross-sectional study, although suicide rates increased in both groups, blunting of these rates occurred among nonelderly adults in the Medicaid expansion states compared with nonexpansion states. Because this difference may be linked to increased access to mental health care, policy makers should consider suicide prevention as a benefit of expanding access to health care.

PMID:35704315 | DOI:10.1001/jamanetworkopen.2022.17228

JAMA Netw Open. 2022 Jun 1;5(6):e2217240. doi: 10.1001/jamanetworkopen.2022.17240.

ABSTRACT

IMPORTANCE: Major incidents of ageism have been shown to be associated with poorer health and well-being among older adults. Less is known about routine types of age-based discrimination, prejudice, and stereotyping that older adults encounter in their day-to-day lives, known as everyday ageism.

OBJECTIVE: To examine the prevalence of everyday ageism, group differences and disparities, and associations of everyday ageism with indicators of poor physical and mental health.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study was conducted using survey data from the December 2019 National Poll on Healthy Aging among a nationally representative household sample of US adults ages 50 to 80 years. Data were analyzed from November 2021 through April 2022.

EXPOSURES: Experiences of everyday ageism were measured using the newly developed multidimensional Everyday Ageism Scale.

MAIN OUTCOMES AND MEASURES: Fair or poor physical health, number of chronic health conditions, fair or poor mental health, and depressive symptoms.

RESULTS: Among 2035 adults ages 50 to 80 years (1047 [54.2%] women; 192 Black [10.9%], 178 Hispanic [11.4%], and 1546 White [71.1%]; mean [SD] age, 62.6 [8.0] years [weighted statistics]), most participants (1915 adults [93.4%]) reported regularly experiencing 1 or more forms of everyday ageism. Internalized ageism was reported by 1664 adults (81.2%), ageist messages by 1394 adults (65.2%), and interpersonal ageism by 941 adults (44.9%). Mean Everyday Ageism Scale scores were higher for several sociodemographic groups, including adults ages 65 to 80 years vs those ages 50 to 64 years (11.23 [95% CI, 10.80-11.66] vs 9.55 [95% CI, 9.26-9.84]) and White (10.43 [95% CI, 10.20-10.67]; P < .001) and Hispanic (10.09 [95% CI, 9.31-10.86]; P = .04) adults vs Black adults (9.23 [95% CI, 8.42-10.03]). Higher levels of everyday ageism were associated with increased risk of all 4 negative physical and mental health outcomes examined in regression analyses (with odds ratios [ORs] per additional scale point as high as 1.20 [95% CI, 1.17-1.23] for depressive symptoms and b = 0.039 [95% CI, 0.029-0.048] for chronic health conditions; P values < .001). Internalized ageism was the category associated with the greatest increase in risk of poor outcomes for all health measures (with ORs per additional scale point as high as 1.62 [95% CI, 1.49-1.76] for depressive symptoms and b = 0.063 [95% CI, 0.034-0.092] for chronic health conditions; P values < .001).

CONCLUSIONS AND RELEVANCE: This study found everyday ageism to be prevalent among US adults ages 50 to 80 years. These findings suggest that commonplace ageist messages, interactions, and beliefs may be harmful to health and that multilevel and multisector efforts may be required to reduce everyday ageism and promote positive beliefs, practices, and policies related to aging and older adults.

PMID:35704314 | DOI:10.1001/jamanetworkopen.2022.17240

Future Microbiol. 2022 Jun 15. doi: 10.2217/fmb-2022-0037. Online ahead of print.

ABSTRACT

Aim: Diagnosis of urogenital tuberculosis (UGTB) is difficult and there is an immediate need to develop a reliable diagnostic test. Methods: A real-time immuno-PCR (RT-I-PCR) was developed to identify a cocktail of MPT-64 + ESAT-6 in both male/female UGTB patients comprising five confirmed cases, 40 clinically suspected cases and 37 non-TB controls, from whom mid-stream urine specimens were collected, while endometrial biopsies of female patients were obtained on day 1 of their menstrual cycle. Results obtained by RT-I-PCR were compared with I-PCR/ELISA and GeneXpert. Results: A wide range (500 fg/ml-10 ng/ml) of MPT-64 + ESAT-6 was detected in UGTB specimens by RT-I-PCR, although ELISA showed a narrow range (2.5-11 ng/ml). Sensitivities of 80% and 82.2% were obtained by RT-I-PCR in clinically suspected and total UGTB cases, respectively, whereas 94.6% specificity was obtained. Concurrently, RT-I-PCR revealed significantly higher (p < 0.05-0.001) sensitivity than I-PCR/ELISA and GeneXpert. Conclusion: After improving the specificity, the authors may develop RT-I-PCR into a diagnostic kit.

PMID:35704296 | DOI:10.2217/fmb-2022-0037

Z Kinder Jugendpsychiatr Psychother. 2022 Jun 15. doi: 10.1024/1422-4917/a000883. Online ahead of print.

ABSTRACT

Objective: Highly-controlled, randomized controlled trials have provided considerable evidence for the efficacy of outpatient cognitive-behavioral therapy (CBT) for patients with school absenteeism and anxiety disorders. However, the effectiveness of outpatient CBT under routine-care conditions for youth with school absenteeism remains unproven. Methods: This observational study used file records to analyze the changes under routine CBT in a sample of n = 49 clinically referred adolescents aged 11 to 18 years with school absenteeism and mental disorders who were being treated in a university outpatient clinic. At the start and end of treatment, we assessed the severity of school absenteeism as well as mental health problems as rated by parents and by the adolescents themselves. Results: The analysis yielded a statistically highly significant decline in school absenteeism (large effect, Cohen’s r = 0.80) and in mental health problems (small-to-large effect, Cohen’s d = 0.33 to d = 0.82). However, a substantial proportion of the sample remained in the clinical range at the end of treatment. Conclusions: These findings suggest that CBT is effective for adolescents with school absenteeism when administered under routine-care conditions, though the results must be interpreted with caution because of the lack of a control condition.

PMID:35704288 | DOI:10.1024/1422-4917/a000883

J Womens Health (Larchmt). 2022 Jun 14. doi: 10.1089/jwh.2021.0304. Online ahead of print.

ABSTRACT

Background: Prior work finds that receiving prenatal care is positively associated with receiving postpartum health care. However, less is known about whether postpartum health care receipt varies by the source of prenatal care. Materials and Methods: This study analyzed data from the 2011-2017 U.S. National Survey of Family Growth to examine associations between the source of prenatal care (private care facility, public/community health facility, other source, or no prenatal care) and nonreceipt of postpartum health care using weighted multivariable logistic regression models. This analysis did not require institutional review board approval. Results: Of the total estimation sample (N = 1,190), 10.8% of respondents reported not receiving postpartum health care. There were no statistically significant differences in nonreceipt of postpartum health care between women who received prenatal care from a public/community health facility or other source and those who attended a private facility. However, women who received no prenatal care had a higher likelihood of not receiving postpartum health care compared with those who attended a private facility (adjusted odds ratio 8.7, 95% confidence interval 4.3-17.5). Conclusions: Receiving prenatal care, regardless of the source, reduced the likelihood of a woman not receiving postpartum health care within a year after delivery. Interventions aimed at women who did not receive any prenatal care may be critical for improving postpartum health care use and subsequently preventing adverse maternal outcomes.

PMID:35704279 | DOI:10.1089/jwh.2021.0304