December 2021 Pulmonary Case of the Month: Interstitial Lung Disease with Red Knuckles

No abstract available. Article truncated after 150 words. We thought a follow-up to our original brief review of COVID-19 in February, 2020 might be useful. As we write this in early December 2021, we again caution that this area is rapidly changing and what is true today will likely be outdated tomorrow. We again borrowed heavily from the Centers for Disease Control (CDC) CDC website and the NIH website which have extensive discussions over numerous pages covering COVID-19. Our hope is to condense those recommendations. We do not discuss inpatient care in any detail. COVID-19 Variants The initial steps of coronavirus infection involve the specific binding of the coronavirus spike (S) protein to the cellular entry receptors which are normally on a cell. These include human aminopeptidase N (APN; HCoV-229E), angiotensin-converting enzyme 2 (ACE2; HCoV-NL63, SARS-CoV and SARS-CoV-2) and dipeptidyl peptidase 4 (DPP4; MERS-CoV). All viruses, but especially simple single-stranded RNA viruses like COVID-19, constantly change through mutation …

Clinician estimates of prognosis: accuracy and impact—a retrospective inpatient hospice study

ObjectiveTo evaluate the accuracy and impact of clinicians’ estimates of prognosis (CEP) in patients referred for hospice inpatient care.MethodsRetrospective review of 12 months’ referrals to a London hospice unit. Data extracted included date of referral, admission and death and CEP.ResultsN=383. Mean age 72 years (range 24–101). CEP accuracy: Median survival where CEP was ‘days’ (n=141) was 7 days (0–164); CEP ‘weeks’ (n=167) was 14 days (1–538); CEP ‘months’ (n=75) was 32 days (2–507). Kaplan-Meier survival curves showed significant difference between CEP of ‘months’ and ‘weeks’ (p<0.0001); ‘months’ and ‘days’ (p<0.0001); but not ‘days’ and ‘weeks’ (p=0.1). CEP impact: admission waiting time increased with increasing CEP: CEP ‘days’ (n=105) median 1 day (0–14); CEP ‘weeks’ (n=154) median 2 days (0–46); CEP ‘months’ (n=69) median 3 days (0–46). No significant difference was demonstrated in the number of discharge planning conversations between groups (0.9/patient).ConclusionsCEP was accurate in over half of the cases but did not adequately discriminate between those with prognoses of days or weeks. CEP may affect the prioritisation given to patients by hospices. Inaccurate CEP on referral forms may influence other aspects of care; however, further research is needed.

The effects of smoking, regular drinking, and unhealthy weight on health care utilization in China

Background Preventive risk factors such as smoking, drinking, and unhealthy weight have contributed to the accelerated rise in noncommunicable chronic diseases, which are dominant drivers of health care utilization and spending in China. However, few studies have been conducted using a large longitudinal dataset to explore the impact of such preventive risk factors on health care utilization. Therefore, this study aimed to ascertain the effects of smoking, regular drinking, and unhealthy weight on health care utilization in China. Methods This research was a longitudinal study using data from five waves of the China Family Panel Studies (CFPS) conducted between 2010 and 2018, and the final sample consisted of 63,260 observations (12,652 participants) across all five waves of data collection. Health care utilization was measured from two perspectives: outpatient utilization and inpatient utilization. Smoking status was categorized as never smoker, former smoker, or current smoker. Unhealthy weight was classified based on the participants’ body mass index. A fixed effects logistic regression model was used for the analysis. Results The results of fixed effects logistic regression showed that current and former smokers were approximately 1.9 times and 2.0 times more likely to use outpatient care than those who never smoked, respectively (odds ratio (OR) = 1.88, p < 0.05; OR = 2.03, p < 0.05). Obese people were approximately 1.3 times more likely to use outpatient care than healthy weight people (OR = 1.26, p < 0.05). Moreover, the results show that compared to those who never smoked, for current and former smokers, the odds of being hospitalized increased by 42.2 and 198.2%, respectively (OR = 1.42; p < 0.1, OR = 2.98; p < 0.05). Compared to healthy weight people, overweight and obese people were also more likely to be hospitalized (OR = 1.11; p < 0.1, OR = 1.18; p < 0.1, respectively). Conclusion Among Chinese adults, current and former smokers were more likely to use outpatient and inpatient care than those who had never smoked. Moreover, compared to healthy weight people, obese people were more likely to use outpatient and inpatient care, and overweight people were more likely to use inpatient care. These results may have important implications that support the government in making health care resource allocation decisions.

Retrospective study of the differences in patient characteristics and revenue between male and female surgeons in Taiwan

Surgery is traditionally a male-dominated field, and gender differences exist despite the growing numbers of female surgeons. A handful of studies have evaluated the condition in Asian societies. We aimed to examine the difference between female and male surgeons in urology, general surgery, and gynecology by analyzing a nationwide, population-based database. We identified surgeons with a clinical experience of six to thirteen years between 1995 to 2013 from the National Health Insurance Research Database. We collected patient numbers and revenue per month in outpatient and inpatient care, as well as monthly numbers of surgeries conducted by female and male surgeons in urology, general surgery, and gynecology, for analysis. Original student’s t-test and wilcoxon rank sum test was used to compare the differences between female and male surgeons, and p values less than 0.05 were considered statistically significant. Female urologists and general surgeons had a significantly higher ratio of female patients in Taiwan. Female urologists had patient numbers, revenues, and numbers of surgeries comparable to male urologists. In contrast, female general surgeons had significantly less involvement in outpatient and inpatient care and had low monthly revenues. Female general surgeons contradictorily performed more oncological surgeries per month than males. However, the difference in numbers of oncological surgeries was not significant after excluding breast cancer surgeries. Female gynecologists had a similar amount of outpatients and outpatient revenue but significantly less inpatient care and numbers of surgeries per month. A gender-based gap exists among surgeons in Taiwan. The gap between females and males appeared narrower in urology than in general surgery and gynecology. Management of diseases related to female sex organs, including breast, were more common among female surgeons. Efforts should be made to decrease gender stereotypes, to ensure that patients receive the best care regardless of the sex of the surgeons.

Estimation of Coronavirus Disease 2019 Hospitalization Costs From a Large Electronic Administrative Discharge Database, March 2020–July 2021

Background Information on the costs of inpatient care for patients with coronavirus disease 2019 (COVID-19) is very limited. This study estimates the per-patient cost of inpatient care for adult COVID-19 patients seen at &gt;800 US hospitals. Methods Patients aged ≥18 years with ≥1 hospitalization during March 2020–July 2021 with a COVID-19 diagnosis code in a large electronic administrative discharge database were included. We used validated costs when reported; otherwise, costs were calculated using charges multiplied by cost-to-charge ratios. We estimated costs of inpatient care per patient overall and by severity indicator, age, sex, underlying medical conditions, and acute complications of COVID-19 using a generalized linear model with log link function and gamma distribution. Results The overall cost among 654673 patients hospitalized with COVID-19 was $16.2 billion. Estimated per-patient hospitalization cost was $24 826. Among surviving patients, estimated per-patient cost was $13 090 without intensive care unit (ICU) admission or invasive mechanical ventilation (IMV), $21 222 with ICU admission alone, and $59 742 with IMV. Estimated per-patient cost among patients who died was $27 017. Adjusted cost differential was higher among patients with certain underlying conditions (eg, chronic kidney disease [$12 391], liver disease [$8878], cerebrovascular disease [$7267], and obesity [$5933]) and acute complications (eg, acute respiratory distress syndrome [$43 912], pneumothorax [$25 240], and intracranial hemorrhage [$22 280]). Conclusions The cost of inpatient care for COVID-19 patients was substantial through the first 17 months of the pandemic. These estimates can be used to inform policy makers and planners and cost-effectiveness analysis of public health interventions to alleviate the burden of COVID-19.

Impact of Informal Care on Health Care Utilization Among Older People in China

Population aging has become a challenge to long-term care and health care for the society. Using China as a case study, this paper assesses allocative efficiency of resources in informal care and health care, to explore the effectiveness of the policy, i.e., encouraging informal care as a more cost-effective way to reduce public health care spending. Drawing data from the 2011, 2014, and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey, this study examines the impact of informal care on utilization of health care as well as amount of health care expenditures among older people with functional limitations in China. Using random effects model with instrumental variable approach, our findings suggest that informal care significantly reduces the utilization of health care, primarily by reducing the utilization of outpatient care. However, informal care significantly increases the amount of inpatient care expenditures for inpatient care users. We do not observe significant association between informal care and amount of outpatient care expenditures for outpatient care users. This study highlights a pressing need for the Chinese government to support informal caregivers by taking economic values of informal caregiving into consideration, and to improve efficiency in inpatient care by a more integrated resource allocation mechanism

Impact of Physical and Social Frailty on the Utilization of Nursing Care Services in Very Old Adults

Frailty, characterized by increased vulnerability to external stressors, has been found to increase the risk of healthcare utilization and nursing home admission. As the age group of 80 years or older remains frequently underrepresented in previous research, this study examined the impact of physical and social frailty on the utilization of nursing care services in very old population of North Rhine-Westphalia. Using data from a representative cross-sectional study, 1,577 community-dwelling and institutionalized individuals aged ≥80 years were included. Physical frailty was defined according to Fried’s criteria (exhaustion, weight loss, low handgrip strength, low physical activity). Social frailty was measured with self-reported loneliness, social isolation, and time spent with others. The use of outpatient care services, day care, informal and inpatient care were considered. Multinomial regression was applied to investigate the impact of physical and social frailty on the use of outpatient and inpatient care services, controlling for relevant sociodemographic and health related characteristics. Compared to very old adults who did not use any care services, no association was found between frailty and the use of outpatient or informal care. Comparing nonusers of care services with institutionalized individuals, nursing home residents were less likely to experience physical frailty and pre-frailty, but were more likely to be socially isolated and to feel lonely. These findings suggest that physical frailty might have been successfully prevented in the context of institutional inpatient care. However, early identification and intervention focused on social inclusion of the institutionalized very old individuals are needed to reverse social frailty.