Use of Pearson and Spearman correlation testing in Indian anesthesia journals: An audit.

Background and Aims: Correct usage and interpretation of biostatistical tests is imperative. Aim of the present article was to evaluate the use of "correlation test" for biostatistical analysis in two leading Indian journals of anesthesia and sensitize the readers regarding its correct usage. Material and Methods: A prospective analysis was done for all original articles using the correlation test (Pearson or Spearman) that were published in "Indian Journal of Anaesthesia" (IJA) or "Journal of Anaesthesiology and Clinical Pharmacology" (JOACP) in the years 2019 and 2020. Results: Amongst all included original studies, correlation test were used in 6% (JOACP) and 6.5% (IJA) respectively (averaged for the years 2019 and 2020). Correlation test was usedinappropriately) for evaluating an aim of prediction/agreement/comparison, rather than association, in 25% and 10% instances each (JOACP and IJA). In both JOACP and IJA, there were high rates of using and interpreting results without citing 95% confidence intervals (CIs) of correlation coefficient (88% and 90%, respectively), P value for significance of the association (50% and 90%, respectively), or coefficient of discrimination (88% and 70%, respectively). In majority of the instances, test to ascertain presence of mandatory prerequisites such as normal distribution of data could not be found (62% and 90%, respectively). Conclusion: The complete potential of correlation test in exploring research questions is probably underappreciated. Further, even when used, its application and interpretation are prone to errors. We hope that the present analysis and narrative is a well-timed appropriate step in bridging the gaps in existing knowledge regarding use of correlation test in national anesthesia literature.

Gauging the knowledge, attitude and practice of interns and dentists about obstructive sleep apnoea-A cross-sectional study.

CONTEXT: Obstructive sleep apnoea is less known and lesser practised in dentistry. Dentists often struggle to educate, diagnose or offer treatment to the patient. Hence, the disorder of the patient and the opportunity for the dentist both go unnoticed. AIM: To assess the knowledge, attitude and practice regarding aspects of obstructive sleep apnoea among dental practitioners, faculty and interns in India. METHODS AND MATERIAL: A self-constructed validated questionnaire was prepared and circulated online among dental interns and professionals in India. Responses received from 237 participants were evaluated and statistically analysed. RESULTS: Only questions about diagnosis and symptoms of OSA were correctly answered by more than 50% of the participants. In all other questions, the knowledge was poor. Only 11.4% of respondents felt that they are well equipped to diagnose OSA. The general attitude of the participants was favourable but with poor practice. Only 5.1% of participants were ever involved in the treatment of OSA. CONCLUSIONS: Given the high prevalence of OSA among the population, along with widespread ignorance among dentists for the same as found in our study, there is an urgent need to spotlight OSA in the dental curriculum at an undergraduate level. To complement this, extensive training and motivation must also be provided so that dental graduates can identify, refer and participate in the treatment of OSA.

Long-Term Persistence of COVID-Induced Hyperglycemia: A Cohort Study.

Although the short-term mortality of patients with COVID-19 infection and hyperglycemia has been well documented, there is little available data regarding longer-term prognosis. The presence of diabetes has not only influenced disease severity but has also impacted its transmission dynamics. In this study, we followed a historical cohort of patients without previous history of diabetes who presented with moderate to severe COVID-19 and were found to have hyperglycemia (random blood glucose > 140 mg/dL) at the time of admission. We evaluated the need for antidiabetic therapy in these patients at the end of 6 months and the risk factors associated with persistent hyperglycemia determined by monthly values of self-monitored blood glucose. Of the seventy participants who were followed telephonically, 54 (77%) continued to receive antidiabetic therapy or have persistent hyperglycemia (> 140 mg/dL) at the end of 6 months. Persistent hyperglycemia at the end of follow-up, was found to be associated with a higher blood glucose at presentation.

Correlates of In-Hospital COVID-19 Deaths: A Competing Risks Survival Time Analysis of Retrospective Mortality Data.

INTRODUCTION: Several aspects of the coronavirus disease 2019 (COVID-19) pandemic remain ambiguous, including its transmission, severity, geographic, and racial differences in mortality. These variations merit elaboration of local patterns to inform wider national policies. METHODS: In a retrospective analysis, data of patients treated at a dedicated COVID hospital with moderate and severe illness during 8 wk of the pandemic were reviewed with attention to mortality in a competing risks framework. RESULTS: A total of 1147 patients were hospitalized, and 312 (27.2%) died in hospital. Those who died were older (56.5 vs 47.6 y; P < 0.0001). Of these, 885 (77.2%) had tested positive on reverse transcriptase polymerase chain reaction (RT-PCR), with 219 (24.2%) deaths (incidence rate, 1.9 per 100 person-days). Median time from onset of symptoms to death was 11 days. A competing risks analysis for in-hospital death revealed an adjusted cause-specific hazard ratio of 1.4 for each decade increase in age. CONCLUSIONS: This retrospective analysis provides broad patterns of disease presentation and mortality. Even COVID test-negative patients will receive treatment at dedicated facilities, and 33% presenting cases may die within the first 72 h, most with comorbid illness. This should be considered while planning distribution of services for effective health-care delivery.

Overview of statistical methods usage in Indian anaesthesia publications.

Background and Aims: Despite the importance of statistics being well established for medical research, it remains a neglected area of understanding and learning. The present survey aimed to examine the use of various statistical methods in a two-year sample (2019-2020) of representative Indian anaesthesia journals and compare it with an international top-ranked journal. Methods: The literature survey included analysis of 748 original articles from 'Indian Journal of Anaesthesia' (179), 'Journal of Anaesthesiology Clinical Pharmacology' (125) and 'Anesthesia & Analgesia' (444) published over the period. Original research articles were identified from the table of contents of each issue. Articles were assessed for statistical methods, categorised as being descriptive, elementary, multivariable, advanced multivariate or diagnostic/classification. Results: Compared to Anesthesia & Analgesia, the Indian journals (considered together) had a significantly greater use of mean (standard deviation) (91.2% versus 70%) and percentages (79.5% versus 67.6%) (P = 0.000 each); and lesser for Wilcoxon (5.4% versus 14.6%) and Pearson/Spearman (5.1% versus 13.5%) correlation tests (P = 0.000 each), multivariable tests including various regression methods (P < 0.001), classification/diagnostic tests [Receiver operating characteristic (ROC) curve analysis, P = 0.022; sensitivity/specificity, P = 0.000; precision, P = 0.006; and relative risk/risk ratio, P = 0.010] and a virtual absence of complex multivariate tests. Conclusion: The findings show limited use of advanced complex statistical methods in Indian anaesthesia journals, usually being restricted to descriptive or elementary. There was a strong bias towards using randomised controlled designs. The findings suggest an urgent and focussed need on training in research methodology, including statistical methods, during postgraduation and continued medical training.

Are myths surrounding long-acting reversible contraception the reason for a huge unmet need for spacing pregnancies?

Background: Long-acting reversible contraceptives (LARC), a highly effective class of contraceptives, has a limited uptake by few couples due to lack of awareness, unavailability, and myths surrounding their application and side effects. Aims: This study was undertaken to understand and to clear myths of LARC among patients as well as to assess the knowledge, attitudes, practices, and preference. Materials and Methods: A hospital-based cross-sectional study using a semistructured questionnaire was conducted in the out-patient Department of Obstetrics and Gynecology, in a tertiary level hospital in Eastern India. A total of 600 women responded to the structured validated questionnaire. Results: High prevalence of teenage marriages (64%), teenage pregnancies (44%), and unwanted pregnancy (41%) was noted among responders. The knowledge scores were low in 66.7%, moderate in 26.66%, and only 6.66% had high level >80% scores in the 15 questions about LARC methods. While 41% had a positive attitude to future use of LARC, a majority (59%) had a strong negative attitude due to many myths of genital tract infections, discharges, and cancer, changed menstrual bleeding patterns, delayed conception after discontinuation, and altered sexual functions. Out of those with a positive attitude, 21% of women had a preference for intrauterine devices, 19.5% of women for injectables, and only 0.5% of women preferred contraceptive implants. 24.5% of women had used LARC in their lifetime but a meager 5% were currently using them. Conclusions: The study shows that there is a huge unmet need for spacing contraceptive methods as childbearing spacing is not maintained. There were lack of correct knowledge and awareness, and numerous myths surrounding LARC methods.

Early Warning Scores at Time of ICU Admission to Predict Mortality in Critically Ill COVID-19 Patients.

OBJECTIVE: To assess ability of National Early Warning Score 2 (NEWS2), systemic inflammatory response syndrome (SIRS), quick Sequential Organ Failure Assessment (qSOFA), and CRB-65 calculated at the time of intensive care unit (ICU) admission for predicting ICU mortality in patients of laboratory confirmed coronavirus disease 2019 (COVID-19) infection. METHODS: This prospective data analysis was based on chart reviews for laboratory confirmed COVID-19 patients admitted to ICUs over a 1-mo period. The NEWS2, CRB-65, qSOFA, and SIRS were calculated from the first recorded vital signs upon admission to ICU and assessed for predicting mortality. RESULTS: Total of 140 patients aged between 18 and 95 y were included in the analysis of whom majority were >60 y (47.8%), with evidence of pre-existing comorbidities (67.1%). The most common symptom at presentation was dyspnea (86.4%). Based upon the receiver operating characteristics area under the curve (AUC), the best discriminatory power to predict ICU mortality was for the CRB-65 (AUC: 0.720 [95% confidence interval [CI]: 0.630-0.811]) followed closely by NEWS2 (AUC: 0.712 [95% CI: 0.622-0.803]). Additionally, a multivariate Cox regression model showed Glasgow Coma Scale score at time of admission (P < 0.001; adjusted hazard ratio = 0.808 [95% CI: 0.715-0.911]) to be the only significant predictor of ICU mortality. CONCLUSIONS: CRB-65 and NEWS2 scores assessed at the time of ICU admission offer only a fair discriminatory value for predicting mortality. Further evaluation after adding laboratory markers such as C-reactive protein and D-dimer may yield a more useful prediction model. Much of the earlier data is from developed countries and uses scoring at time of hospital admission. This study was from a developing country, with the scores assessed at time of ICU admission, rather than the emergency department as with existing data from developed countries, for patients with moderate/severe COVID-19 disease. Because the scores showed some utility for predicting ICU mortality even when measured at time of ICU admission, their use in allocation of limited ICU resources in a developing country merits further research.