Return to badminton play following an ACL injury is common, but only a few return to previous performance.

PURPOSE: To report how many badminton players return to badminton after an anterior cruciate ligament (ACL) injury and to which level. METHODS: Patients in Denmark from 2000 to 2018, registered in the Danish National Patient Register with a diagnosis of ACL rupture and badminton as a primary sport were asked about a return to sport (RTS) and return to performance (RTP) after ACL injury. RTP was defined as the return to full participation in the same sport, same level and same preinjury performance. To investigate the likelihood of RTS and return to preinjury level, a binominal logistic regression was used. RESULTS: Badminton was the primary sport for 900 participants. Only 435 players were injured during badminton, and 626 participants intended to RTP. RTS was achieved by 396 (63%) and 117 (19%) returned to the same performance as their preinjury level. However, 273 (44%) returned to full participation at the same level as the preinjury level but did not perform as well. Males had a significantly higher RTS than females, and RTP was also higher among males [221 (68%) vs. 175 (58%), odds ratio, OR: 1.67, p = 0.003 and 74 (23%) vs. 43 (14%), OR: 1.58, p = 0.05]. CONCLUSION: Return to badminton was achieved by 396 (63%), but only 117 (19%) returned to the same performance as their preinjury level after ACL injury. Females are less successful in RTS and RTP. Future research on improving RTS and the RTP rates in badminton, in general, and specifically for females is needed. LEVEL OF EVIDENCE: Level II.

Comparative responses to 17 different antidepressants in major depressive disorder: Results from a 2-year long-term nation-wide population-based study emulating a randomized trial.

BACKGROUND: Long-term studies comparing nonresponse to antidepressants for major depressive disorder (MDD) are lacking. AIMS: To present systematic population-based nation-wide register data on comparative 2-year non-response within six antidepressant drug classes and 17 different antidepressants in patients with MDD. METHOD: The study included all 106,920 patients in Denmark with a first main index diagnosis of MDD at a psychiatric hospital inpatient or outpatient contact and who subsequently had a purchase of an antidepressant in the period from 1995 to 2018. Non-response to first antidepressant within a 2-year study period was defined as switch to or add-on of another antidepressant, antipsychotic medication, lithium, or hospitalization. Analyses emulated a targeted trial in populations standardized according to age, sex, socioeconomic status, and comorbidity with psychiatric and physical disorders. RESULTS: Compared with sertraline, there was no difference for citalopram (RR: 1.00 [95% CI: 0.98-1.02]) but fluoxetine (1.13 [95% CI: 1.10-1.17]), paroxetine (1.06 [95% CI: 1.01-1.10]) and escitalopram (1.22 [95% CI: 1.18-1.25]) were associated with higher risk ratio of non-responses. Within selective noradrenaline reuptake inhibitors, sertraline outperformed reboxetine; within serotonin-norepinephrine reuptake inhibitors, venlafaxine outperformed duloxetine; within noradrenergic and specific serotonergic antidepressants, mirtazapine outperformed mianserin and within the class of other antidepressants, sertraline outperformed agomelatine and vortioxetine. Within tricyclic antidepressants, compared to amitriptyline, nortriptyline, dosulepin, and clomipramine had higher non-response, whereas there was no difference for imipramine. CONCLUSIONS: These analyses emulating a randomized trial of "real world" observational register-based data show that 2-year long-term non-responses to some antidepressants within six different drug classes are increased over others.

Scoring systems in the prediction of atrial fibrillation recurrence after surgical ablation.

INTRODUCTION: More than every third patient experiences recurrent atrial fibrillation after surgical pulmonary vein ablation. However, it remains challenging to predict who will and who will not experience this event. Scoring systems containing baseline risk factors have been proposed as a complementary tool to identify patients at higher risk of experiencing atrial fibrillation recurrence. Therefore, the aim of this study was to assess the value of the scoring systems APPLE, CHA2 DS2 -VASc, and CHADS2 in predicting atrial fibrillation recurrence following surgical ablation. METHODS: In a retrospective study, we identified all patients undergoing concomitant pulmonary vein ablation during cardiac surgery. APPLE-, CHA2 DS2 -VASc-, and CHADS2 scores were calculated for each patient. Subsequently, the predictive value of the scoring systems on atrial fibrillation recurrence 3-12 months postablation was assessed using receiver operating characteristic curves and logistic regression analyses. RESULTS: Receiver operating characteristic curves showed the superiority of the APPLE scoring system with an area under the curve of 0.690 compared to 0.571 for CHA2 DS2 -VASc and 0.569 for CHADS2 , p = .01. Using logistic regression analyses, APPLE and CHA2 DS2 -VASc were predictors of atrial fibrillation recurrence between 3- and 12 months after surgical ablation (odds ratio [OR] 1.93, 95% confidence interval [CI] 1.39-2.67, p < .01 and OR 1.17, 95% CI 1.01-1.36, p = .04, respectively). CONCLUSIONS: The APPLE scoring system is superior to CHA2 DS2 -VASc and CHADS2 in predicting atrial fibrillation recurrence after surgical ablation. It can be used as a complementary tool to select the right candidates for surgical ablation and identify patients who need more frequent clinical and electrocardiogram controls.

Weight change during the first week of life and a new method for retrospective prediction of birthweight among exclusively breastfed newborns.

INTRODUCTION: Identification of low birthweight and small for gestational age is pivotal in clinical management and many research studies, but in low-income countries, birthweight is often unavailable within 24 h of birth. Newborn weights measured within days after birth and knowledge of the growth patterns in the first week of life can help estimate the weight at birth retrospectively. This study aimed to generate sex-specific prediction maps and weight reference charts for the retrospective estimation of birthweight for exclusively breastfed newborns in a low-resource setting. MATERIAL AND METHODS: This was a prospective cohort study nested in a clinical trial of intermittent preventive treatment in pregnancy for malaria with either dihydroartemisinin-piperaquine with/without azithromycin or sulfadoxine-pyrimethamine in Korogwe District, north-eastern Tanzania (Clinicaltrials.gov: NCT03208179). Newborns were weighed at birth or in the immediate hours after birth and then daily for 1 week. Reference charts, nadir, time to regain weight, and prediction maps were generated using nonlinear mixed-effects models fitted to the longitudinal data, incorporating interindividual variation as random effects. Predictions and prediction standard deviations were computed using a linear approximation approach. RESULTS: Between March and December 2019, 513 live newborns with birthweights measured within 24 h of delivery were weighed daily for 1 week. Complete datasets were available from 476 exclusively breastfed newborns. There was a rapid decline in weight shortly after delivery. The average weight loss, time of nadir, and time to regain weight were 4.3% (95% confidence interval [CI] 3.8-4.9) at 27 h (95% CI 24-30) and 105 h (95% CI 91-120) in boys and 4.9% (95% CI 4.2-5.6) at 28 h (95% CI 23-33) and 114 h (95% CI 93-136) in girls, respectively. The data were used to generate prediction maps with 1-h time intervals and 0.05 kg weight increments showing the predicted birthweights and weight-for-age and weight-change-for-age reference charts depicting variation in weight loss from <1 to >10%. CONCLUSIONS: The prediction maps and reference charts can be used by researchers in low-resource settings to retrospectively estimate birthweights using weights collected up to 168 h after delivery, thereby maximizing data utilization. Clinical practitioners can also use the prediction maps to retrospectively classify newborns as low birthweight or small for gestational age.

Using Polarized Spectroscopy to Investigate Order in Thin-Films of Ionic Self-Assembled Materials Based on Azo-Dyes.

Three series of ionic self-assembled materials based on anionic azo-dyes and cationic benzalkonium surfactants were synthesized and thin films were prepared by spin-casting. These thin films appear isotropic when investigated with polarized optical microscopy, although they are highly anisotropic. Here, three series of homologous materials were studied to rationalize this observation. Investigating thin films of ordered molecular materials relies to a large extent on advanced experimental methods and large research infrastructure. A statement that in particular is true for thin films with nanoscopic order, where X-ray reflectometry, X-ray and neutron scattering, electron microscopy and atom force microscopy (AFM) has to be used to elucidate film morphology and the underlying molecular structure. Here, the thin films were investigated using AFM, optical microscopy and polarized absorption spectroscopy. It was shown that by using numerical method for treating the polarized absorption spectroscopy data, the molecular structure can be elucidated. Further, it was shown that polarized optical spectroscopy is a general tool that allows determination of the molecular order in thin films. Finally, it was found that full control of thermal history and rigorous control of the ionic self-assembly conditions are required to reproducibly make these materials of high nanoscopic order. Similarly, the conditions for spin-casting are shown to be determining for the overall thin film morphology, while molecular order is maintained.