Madeleine Kline
@mckline98.bsky.social
110 followers 170 following 22 posts
MD/PhD student at HMS/HSPH infectious disease epidemiology, musician, climate advocate, runner, lover of baked goods and cute animals
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Reposted by Madeleine Kline
harvard-iid.bsky.social
In April, we congratulated IID’s Madeleine Kline (“Maddy”) on achieving the Emerging Physician Leader Award and Scholarship from Health Care Without Harm. 👏Learn more about the award and this year’s inspiring recipients here:

🔗 us.noharm.org/initiatives/....

(@mckline98.bsky.social)
Health professional awards, scholarships, & fellowships | Health Care Without Harm - US & Canada
us.noharm.org
mckline98.bsky.social
Your point about higher starting prevalence settings is also excellent — and an area of ongoing work in the lab!
mckline98.bsky.social
However, this would effectively mean there is a higher “resistance emergence” probability to those drugs, which we did test in our sensitivity analysis. Our framework could be easily adapted to more specifically look at bystander selection via something like an importation rate parameter.
mckline98.bsky.social
Thanks so much! It’s true that bystander selection through antibiotic usage for non-gonorrhea infections could occur (especially for ceftriaxone and gepotidacin), and this is not explicitly modeled here.
mckline98.bsky.social
Our results indicate that distributing selective pressures across the population minimizes the emergence of drug resistance in gonorrhea in US MSM and underscore the importance of disease and context-specific decision-making. [10/10]
mckline98.bsky.social
It was possible to find combinations of parameters where equal allocation was worse than sequential, but these were rare edge cases that required a combination of unlikely events. Even then, the difference between strategies was not large [9/10]
mckline98.bsky.social
Equal allocation was still better when we changed the prevalence threshold from 5% to 1% or 10%, and across a wide range of parameter values for parameters that determine underlying model behavior [8/10]
mckline98.bsky.social
The sequential strategy had met the 5% resistance prevalence threshold i) for each drug individually and ii) for all 3 drugs in at least as many simulations and iii) for at least as many drugs on average compared to the equal allocation strategy [7/10]
mckline98.bsky.social
We looked at the proportion of simulations had reached 5% prevalence of resistance for each drug and found that the equal allocation strategy 🔴 was better than the sequential strategy 🔵 because: [6/10]
mckline98.bsky.social
We compared two strategies: equal allocation 🔴, where all 3 drugs are used in random allocation but each individual gets treated with 1 drug, and sequential 🔵, where new drugs are only used once resistance prevalence for the previous drug has reached 5% [5/10]
mckline98.bsky.social
Here, we used a stochastic compartmental gonorrhea transmission model of US MSM to test introduction strategies with two new available drugs and one currently used drug, aimed at capturing random emergence and extinction dynamics [4/10]
mckline98.bsky.social
Antibiotic stewardship often urges us to reserve new antibiotics until they are absolutely needed, especially in hospital settings. Past research has shown that for gonorrhea treatment, distributing selective pressures by offering more treatment options at the same time reduces drug resistance[3/10]
mckline98.bsky.social
There were > half a million notifications for gonorrhea in the US in 2023, and the bacteria that cause the infection have developed resistance to all antibiotics used to treat it. 2 new drugs, zoliflodacin and gepotidacin, had positive phase III trial results and will likely be approved soon [2/10]
mckline98.bsky.social
Our results indicate that distributing selective pressures across the population minimizes the emergence of drug resistance in gonorrhea in US MSM and underscore the importance of disease and context-specific decision-making. [10/10]
mckline98.bsky.social
It was possible to find combinations of parameters where equal allocation was worse than sequential, but these were rare edge cases that required a combination of unlikely events. Even then, the difference between strategies was not large [9/10]
mckline98.bsky.social
We looked at the proportion of simulations had reached 5% prevalence of resistance for each drug and found that the equal allocation strategy 🔴 was better than the sequential strategy 🔵 because: [6/10]
mckline98.bsky.social
We compared two strategies: equal allocation 🔴, where all 3 drugs are used in random allocation but each individual gets treated with 1 drug, and sequential 🔵, where new drugs are only used once resistance prevalence for the previous drug has reached 5% [5/10]
mckline98.bsky.social
Here, we used a stochastic compartmental gonorrhea transmission model of US MSM to test introduction strategies with two new available drugs and one currently used drug, aimed at capturing random emergence and extinction dynamics [4/10]
mckline98.bsky.social
Antibiotic stewardship often urges us to reserve new antibiotics until they are absolutely needed, especially in hospital settings. Past research has shown that for gonorrhea treatment, distributing selective pressures by offering more treatment options at the same time reduces drug resistance[3/10]
mckline98.bsky.social
There were over 1/2 a million notifications for gonorrhea in the US in 2023, and the bacteria that cause the infection have developed resistance to all antibiotics used to treat it. 2 new drugs, zoliflodacin and gepotidacin, had positive phase III trial results and will likely be approved soon[2/10]
Reposted by Madeleine Kline
baileybowcutt.bsky.social
I'm a current Harvard graduate student and I found out today that I had my NSF GRFP terminated without notification. I was awarded this individual research fellowship before even choosing Harvard as my graduate school
Reposted by Madeleine Kline
hsph.harvard.edu
With nearly all of Harvard Chan School’s direct federal grants terminated, we are relying on philanthropy to power our research and support our educational programs. Every gift, regardless of size, advances our vision of health, dignity, and justice for every human. Support our work: hsph.me/whygive
Reposted by Madeleine Kline
scott-delaney.bsky.social
My ongoing request:

If your NSF or NIH grant was terminated--whether at Harvard or elsewhere--please report it here.

NSF: grant-watch.us/submit-nsf.h...

NIH: grant-watch.us/submit-nih.h...

Our trackers are actively used in lawsuits and are often the only record that terminations ever occurred.
dangaristo.bsky.social
NSF appears to be terminating hundreds of its grants to Harvard, per internal sources at NSF and at Harvard. At least one division has had all its grants cut.